Method of processing signals resulted from optical analysis of fluid medium

FIELD: physics, measurements.

SUBSTANCE: proposed set of inventions relates to oil product, particularly, to getting and analysing the samples of in-place fluid medium. The proposed method comprises the steps that follow. First, optical density data on fluid medium sample is obtained for, at least, one-colour channel, water channel or a set of optical channels by measuring wavelength optical density with the help of fluid medium analyszer, and, at least, in one channel of fluid medium component to determined the fluid medium composition or properties with the help of fluid medium downhole sampler furnished with optical pickup. The colour absorption function is defined based on optical data for fluid medium sample in, at least, one colour channel. The part of optical density subject to color absorption, absorption in water in, at least, one aforesaid channel of fluid medium component. The electronic system designed to refine the data on the fluid medium sample incorporates an input device, memory coupled with input device and memory.

EFFECT: accurate data on fluid medium sample resulted from elimination of colour, water and scattering effects.

25 cl, 13 dwg

 

Background of invention

For the production of hydrocarbons and other required substances from natural deposits, hidden in geological formations deep underground, usually drilling of wells in the ground. Immediately upon reaching the interesting formation in the drilled hole drillers often explore the formation fluids through the sampling reservoir fluid for analysis. The analysis of the sample fluid gives information about the composition, viscosity, initial boiling point, and other important characteristics of the fluid. This essential information is used for planning decisions development fields, as well as for the organization of production capacities in technological processes implemented before extraction and after it. This sampling fluid is often carried out at an early stage, well operation, to ensure that material information will be available during the decision making on the planning of field development and the development of production capacities in technological processes implemented before extraction and after it.

In a typical case, a sample of fluid gain, lowering the sampler to fluid in the well and extracting a sample of fluid from an underground reservoir. One example of a sampler is a modular device for the dynamic tests the s layers (NDIP (MDT)), is a registered trademark of "Schlumberger technology Corporation (Schlumberger Technology Corporation), which owns the rights to the invention. Possible instruments for testing formations is described in U.S. patent No. 4860581 and 4936139, the authors are Zimmerman (Zimmerman), etc. and which are to be assigned to the owner of the rights to the invention.

Figure 1 shows a device 101 for testing seams designed for sampling fluid from the reservoir 114. The device 101 is suspended in the bore 110 of the well on a wire line connection 115 or stranded cable which is unwound from a drum located on the surface. On the above mentioned surface of the wired link 115 typically connected to the electrical system 118 control, which controls the device 101 and manages them.

Immediately after the device 101 is at the desired depth, it is used to produce samples of the reservoir fluid. The device 101 has a probe 120 or means of reception of a fluid medium, which is performed with the selective extension of the device 101, as well as anchoring the fastening element 121 on the opposite side of the device 101, also made with the possibility of the election of nomination. The probe 120 is pulled out from the device 101 is attached to the wall 112 of the wellbore, resulting in sampling the IR 120 is communicated through the fluid from the reservoir 114. A typical device 101 also includes a pump (not shown). This pump is used for pumping formation fluid from the device 101 in the barrel 110 of the well.

One of the problems associated with sampling fluid, is that the produced fluid in the typical case contaminated by mud filtrate. The filtrate of the drilling fluid is a fluid component of the drilling fluid which seeps into the formation during the drilling process. This mud filtrate invades the formation and pollutes the natural stratiform the fluid around the wellbore. When the reservoir take a sample fluid, the sample will initially include a significant portion of the mud filtrate. Thus, the sample fluid in the initial stages of sample collection does not display a natural formation fluids.

To solve this problem, the sample fluid are usually taken from the reservoir and pumped into the wellbore or into a large chamber for waste sampler up until the selected fluid medium will not be "refined" or "purified". "Refined" or "purified" sample is a sample of the fluid in which the concentration of the mud filtrate is acceptable low, resulting in fluid displays local reservoir fluid is Reda. At this point the sample can be collected for further analysis.

Again referring to figure 1, note that stratiform the fluid removed from the reservoir 114 through the probe 120, and this fluid passes through the first analyzer 125 fluid before mentioned, the fluid is pumped from the device 101 in the wellbore by pumping means (not shown). The analyzer 125 fluid analyzes a sample of the fluid to determine the level of contamination of mud filtrate. Immediately after cleaning the reservoir fluid extracted by the probe, the sample fluid can be prevented by pumping this sample of fluid in one of the chambers 122, 123 for samples.

The fluid analyzer of the same type used in the downhole device to test layers is an optical sensor that measures the optical density (OD) of the sample fluid at several different wavelengths in the near infrared region (NIR region) and the visible region of the spectrum. The optical density calculated according to the formula OD=-log10(T), where T is the transmission coefficient, which represents the ratio of the missed light to incident light. The oil used in the drilling fluid is oil-based (RNO), in the typical case has a light color, so as purification of the sample fluid Opti is a mini-density color channels increases, asymptotically approaching the optical density darker local reservoir of fluid. In the case of drilling water based mud (WBM), mud filtrate usually colorless, so when cleaning the sample fluid optical density in the color channels increases, asymptotically approaching the optical density darker local reservoir of fluid.

The optical density of the sample fluid is affected by two types of acquisitions: color absorption and molecular vibrational absorption. Color absorption occurs when incident light interacts with the orbital electrons. Types of oil can have different colors because they contain varying quantities of aromatics, resins and asphaltenes, and each such component absorbs light in the visible and near infrared spectral regions. For example, species of heavy oil have higher concentrations of aromatics, resins and asphaltenes, giving them a dark color. On the other hand, varieties of light oil and condensate have a lighter, yellowish color because they have a lower concentration of aromatics, resins and asphaltenes.

Molecular vibrational absorption is the absorption at a specific frequency SV is the due to the resonance of the chemical bonds in the molecule. While the color absorption covers the visible and near infrared region of the spectrum, molecular vibrational absorption occurs only at specific wavelengths for specific materials. For any given molecule, the wavelength at which the vibrational absorption, associated with the molecular structure and types of chemical bonds in the sample fluid. For example, most of the oil has peaks of molecular vibrational absorption near a wavelength of 1200 nm, 1400 nm and 1700 nm.

Another factor that can affect the measured optical density of the sample fluid, known as "dispersion". Scattering occurs when the incident light is reflected by the particles present in the sample fluid, so that the reflected light does not reach the detector (photodetector). In a typical case, the scattering is independent of wavelength of the incident light, but still there are some circumstances in which the dispersion may depend on the wavelength of light.

Molecular vibrational absorption depends on the concentration of a particular substance, and the phase of a substance does not necessarily affect it's absorption. For example, the resonance peak absorption of methane (about 1670 nm) will be almost unchanged ve is ichino regardless presents the methane in the gas phase or dissolved in oil.

Figure 2 shows the optical density for several types of oil, including condensate 202, mazut 204 and tar 206. The optical density of these fluid, due to the color depends on the wavelength and forms a continuous curve throughout the range of wavelengths. The optical density of the oil is shown in figure 2, also have peaks 212, 214, 216, molecular vibrational absorption at specific wavelengths. If the optical density due to color, is a continuous curve throughout the range, the optical density due to molecular vibrational absorption characteristic only for certain wavelengths. As shown in figure 2, crude oil, there are peaks of molecular vibrational absorption by about 1200 nm (denoted by the position 212), approximately 1400 nm (denoted by the position 214) and about 1700 nm (denoted by position 216).

The optical sensor of the same type is an optical fluid analyzer (OATES (OFA)) with registered trademark of "Schlumberger technology Corporation, owns the rights to the invention. Optical fluid analyzer measures the optical density of the sample fluid at ten different wavelengths in the near infrared evidenoe areas of the spectrum. When the fluid is first withdrawn from the reservoir, the sample fluid consists mainly of having a bright color of mud filtrate oil-based. As cleanup of the sample fluid medium, the sample fluid will contain more dark local reservoir of fluid. The optical density of the sample fluid in the color channels will be updated as cleaning fluid. For example, since the produced fluid is darker than a typical mud filtrate oil-based, the optical density of the sample fluid in the color channels will increase as the sample fluid. The optical density in the color channels will asymptotically approach the optical density of the reservoir fluid.

Collecting data of optical density at different points in time, it is possible to mathematically determine the optical density of the local reservoir of fluid, called "optical density in the absence of pollution", by calculating the asymptotic value of the measured optical density. "Optical density in the absence of pollution" is the optical density of the sample fluid when in this sample there is no contamination (i.e. the optical density of the reservoir fluid). Immediately after the time when the projected receipt of the optical density in the absence of pollution, you can determine the degree of contamination of mud filtrate in the oil the basis of the sample fluid based on the measured optical density and the optical density in the absence of pollution. Methods for determining contamination of drilling fluids oil-based sample of fluid is described, for example, in U.S. patent No. 5266800 issued to Mullins (Mullins) and assigned to the owner of the rights to the invention.

The optical sensor of another type is called the analyzer fluid containing gaseous reservoir fluids (ATS (LFA)), is a trademark of "Schlumberger technology Corporation, owns the rights to the invention. The analyzer fluid containing gaseous reservoir fluids, differs from the optical fluid analyzer so that the analyzer fluid containing gaseous reservoir flutty use channel methane on the wavelength of the peak of methane". And the analyzer fluid containing gaseous reservoir fluids, and an optical fluid analyzer have channel oil at a wavelength of "peak oil". "Peak methane" is the peak molecular vibrational absorption of methane, the wavelength of which corresponds to the resonance of the C-H in methane molecule. One peak molecular vibrational absorption of methane occurs at a wavelength of about 1670 nm. The Molek is popular vibrational absorption occurs regardless of the color of the fluid and regardless of is methane in the gas phase or dissolved in the formation fluid. Similarly, the "peak oil" is the peak molecular vibrational absorption oil, the wavelength of which corresponds to the resonance of the combination of the groups-CH2- and-CH3in the molecule of oil. Peak oil in the typical case occurs at a wavelength of about 1720 nm.

In a typical case, the mud filtrate oil-based contains negligible amounts of methane, so that the optical density at the peak of methane will increase as the extraction of the sample fluid from the reservoir. The optical density of the sample at the peak of methane will asymptotically approach the optical density of the reservoir fluid at the peak of methane. The percentage contamination of the sample fluid can be determined by monitoring the optical density in the channel of methane and compare this optical density of the asymptotic value.

Another property of the formation fluid, which can be calculated using the channel of methane, is a gas factor (GF). The gas factor is the ratio of the volume of hydrocarbons in the gaseous phase in the local reservoir fluids to the volume of liquid hydrocarbons under normal conditions. The gas factor is an important characteristic to be considered in the design of manufacturing facilities in the technological process is, implemented before extraction and after it. For example, if the gas factor is great, the production capacity available on the surface, it is necessary to design based on the processing of large amounts of gas coming from the well. One way of calculating the gas factor is described in U.S. patent No. 6476384 issued to Mullins, etc. referred to in its entirety herein for reference and assigned to the company "Schlumberger technology Corporation, owns the rights to the invention.

The optical sensor of another type, called the analyzer, condensate and gas (ACG (CGA)), is a trademark of "Schlumberger technology Corporation, owns the rights to the invention. In condensatoarelor use optical channels at specific frequencies to obtain the best estimate of the spectrum of gases and liquids present in the device of the fluid. For example, a typical analyzer condensate and gas is the channel that corresponds to the resonance peak for the molecular vibrational absorption in carbon dioxide. A typical analyzer condensate and gas is able to determine the mass concentration of methane, non-methane gaseous hydrocarbons, carbon dioxide and liquid hydrocarbons.

Although these analyzers provide convenient ways to control the various components in the reservoir t is kucich environments and hence the degree of contamination of mud filtrate in the formation fluid environments, these methods are still subject to the influence of the color of the sample fluid, the amount of water present in the sample fluid and any particles in the sample fluid, which scatter incident light used for the measurement of optical density. It is preferable to have methods that eliminate the influence of color, water, and scattering.

Summary of the invention

In some embodiments implementing the invention relates to a method of refining the data samples of the fluid, namely, that receive the data of optical density for the sample fluid, at least one color channel and at least one channel component of the fluid and determine the function of the color absorption on the basis of optical density. In the process they also hope part of the optical density due to the color removals, at least one of the channels of the components of the fluid, and carry out a color correction data by subtracting the part of the optical density due to the color removals, at least one of the channels of the components of the fluid.

In other embodiments implementing the invention relates to a method of refining the data samples of a fluid medium, namely, receiving data of optical density for the sample fluid in the channel of water and at least one channel component of the fluid and calculate the part of the optical density due to acquisitions in the water, at least one of the channels of the components of the fluid on the basis of the optical density in the channel and water relations of acquisitions in the water, at least one channel component of the fluid. When implementing these methods also carry out the correction data on the water content of the optical density in each of the mentioned at least one of the channels of the components of the fluid, discarding part of the data of optical density due to acquisitions in the water.

In some embodiments implementing the invention relates to a method of refining the data samples of the fluid, namely, that receive the data of optical density for the sample fluid, at least one color channel, the water channel and at least one channel component of the fluid and determine the function of the color absorption based on the aforementioned data. In addition, when implementing these methods calculate the part of the optical density due to the color removals, at least one of the channels of the components of the fluid and carry out the color correction data is pricheskoj density, discarding part of the optical density due to the color removals, at least one of the channels of the components of the fluid.

Ways that match the specified variants of the invention may also provide for the calculation of the optical density due to acquisitions in the water, at least one channel component of the fluid on the basis of the optical density in the water channel and calculating acquisitions in the water, at least one channel component on the basis of the optical density in the channel and water relations of acquisitions in the water, at least one channel component of the fluid, and the implementation of the correction data on the water content, optical density, at least one channel component of the fluid, eliminating the part the optical density due to acquisitions in the water.

In some specific embodiments, its implementation the invention relates to a method of refining the data samples of the fluid, namely, that receive the data of optical density for the sample fluid in the aggregate optical channels, build the system of equations that simulate the optical density of this body of optical channels in the sum of at least two components of the group consisting of color absorbed by the th, molecular vibrational removals, removals in water and scattering, and solve the system of equations determining the molecular vibrational absorptions, at least in the channel of methane and channel oil in each of the set of moments of time.

In certain specific embodiments, its implementation the invention relates to an electronic system that includes an input device configured to receive data of optical density for the sample fluid over the set of moments of time, and a storage device, operatively associated with the input device, for storing received data. The electronic system also can include a processor, operatively associated with the storage device and executed with the possibility of using the data of optical density to construct a system of equations that simulate the optical density in each of the set of optical channels in the sum of at least two members of the group consisting of color removals, molecular vibrational removals, removals in water and scattering, and is made with the possibility of solving this system of equations determining the molecular vibrational absorptions in the channel of methane and channel oil.

Brief description of drawings

Figure 1 shows the cross behold the giving known from the prior art test devices seams.

Figure 2 shows a graph of optical density for several types of oil depending on the wavelength of the incident light.

Figure 3 shows a graph of optical density in multiple channels of the optical sensor depending on the time.

Figure 4 shows a graph of optical density in multiple channels of the optical sensor for dark oil products depending on the time.

Figure 5 shows a graph of the natural logarithm of optical density for petroleum products, some types depending on the values of the inverse wavelength.

Figure 6 shows a graph of optical density after color correction in multiple channels of the optical sensor for dark oil products depending on the time.

7 shows a graph of optical density due to acquisitions in the water, in several channels.

On Fig shows a graph of optical density in multiple channels of the optical sensor to a sample fluid containing water, depending on the time.

Figure 9 shows a graph of optical density after correction for the water content in multiple channels of the optical sensor to a sample fluid containing water, depending on the time.

Figure 10 shows one variant of the method corresponding to the invention.

Figure 11 shows one implementation, the possible ways corresponding to the invention.

On Fig shows one variant of the method corresponding to the invention.

On Fig shows one variant of the method corresponding to the invention.

Detailed description

In certain specific embodiments, its implementation the invention relates to methods of processing or filtering ("cleanup") signal downhole optical fluid analyzer. In some specific embodiments, its implementation the invention relates to the elimination of the influence of color. In other specific embodiments, its implementation the invention relates to the elimination of the influence of water. In another specific variants of its implementation the invention relates to the elimination of the influence of scattering. In one or more specific variants of its implementation the invention relates to the simultaneous elimination of color effects, water and scattering.

Color correction

Figure 3 shows a graph of the optical density of the light oil products in multiple channels of the optical sensor in the case of drilling mud oil-based. The graph illustrates the channel of methane (displayed curve 304), channel oil (displayed curve 302) and the base channel (displayed curve 306). Also illustrated channel "methane difference", which is a Cana is (displayed curve 308), the parameters determined by subtracting the base channel from the channel parameters of methane. Basic channel (represented by curve 306), which does not happen molecular vibrational absorption of methane or oil is used as a basis. Methane difference in the typical case is used because of the possibility of false readings, which are usually obtained in the absence of channel methane and basic channel.

Methane difference (represented by curve 308) increases up to some asymptotic value. This increase methane difference (curve 308) can be used to predict pollution and due to channel oil to predict the gas flow of the reservoir fluid. As figure 3 shows an example of data of optical density collected for light oil, it displays the typical behavior of the channels of methane, oil and basic channel without any impact color.

The term "pollution" of the fluid related to the amount of mud filtrate in the sample fluid. In a typical case, about the pollution they say referring to pollution volume%. Gas factor (GF) is the ratio of gas volume to liquid volume of the sample fluid in normal conditions.

When the sample fluid contains very fact the initial oil, color absorption occurs in all channels, including channels of methane and oil. As can be seen in figure 2, fuel oils (indicated by the position 204) and tars (indicated by the position 206) have significant color absorption near 1700 nm, and this value is close to the peak molecular absorption (indicated by the position 216) for methane and oil. In the result we can conclude that the dark oil has a strong influence on the channels of methane and oil.

This is a "color effect" shown in figure 4. The optical density channel oil (represented by curve 402) increased (as compared with figure 3), because due to both molecular vibrational absorption peak oil, and the color absorption resulting from the presence of a dark oil. Similarly, the optical density in the channel of methane (represented by curve 404) increased (as compared with figure 3), because due to both molecular vibrational absorption at the peak of methane and color absorption, obtained in the presence of a dark oil. This color effect is also significantly increases the optical density in the base channel (represented by curve 406). While the basic channel figure 3 (shown by curve 306) is close to zero (the value of optical density), figure 4 shows that the influence of color can greatly increase the th optical density in the base channel (represented by curve 406).

Color effect causes methane difference (represented by curve 408), leading to very low optical density, and, as you can see in figure 4, the corresponding curve can be gentle or even decreasing. This curve methane difference provides a forecast of zero pollution, even when the contamination of the sample fluid can be significant. In addition, since the gas factor is determined on the basis of the relationship of the channel parameters of methane to the channel parameters of oil, increased the level curves showing the channels of methane, oil and basic channel, causing inaccuracies in the prediction of the gas flow.

For accurate forecasting of pollution and gas factor should eliminate the influence of the color channel of methane, oil and basic channel. As shown in figure 2, the color absorption depends on the wavelength. The corresponding dependence is shown in equation 1:

where OD is optical density, α and β constant, L is the path length and λ is the wavelength. Equation 1 represents one example of a function of the color absorption". Function color absorption is any function that determines the optical density of the sample fluid through the color removals. In some specific embodiments, the implementation of the color absorption head of the Sith as a function of wavelength. In other specific embodiments, the implementation of the color absorption can be a constant. Taking natural logarithm of both sides of equation 1 gives:

Equation 2 shows that for various crude oil products natural logarithm of the optical density depends linearly on the magnitude of the inverse wavelength. This dependence is shown in figure 5. Here is shown the curves of ln(OD) depending on 1/λ for various crude oil products in a range of dark colors. In particular, curve 502 for gas curve 504 for fuel oil and curve 506 for tar - they all demonstrate a linear relationship. This dependence can be used to predict the color of absorption at any wavelength on the basis of color absorption at known wavelengths.

In a typical case, the analyzer fluid containing gaseous reservoir fluids, has five color channels. "Color channel" is a channel in which the measurement of the optical density of the sample fluid at the wavelength at which the measured optical density is determined mainly by the color absorption. Data from the color channels can be used in conjunction with equations 1 and 2 for defining constants α and β. Although this opisaniya referred to special methods of approximation curves, conventional experts in the art should be familiar with the methods of approximation curves that can be used with this invention. In addition, the number of channels available in a given device, or characteristic of a certain type of device may vary, and this number is not restrictive characteristic of the present invention. The use of this device analyzer with fluid containing gaseous reservoir fluids, is just one example.

Immediately after defining constants α and β can use equation 1 to predict the color absorption at other wavelengths. Color absorption in the channel of methane, the channel of the base oil and the channel can be subtracted from the measured total optical density in these channels. The residual optical density, for example, in the channel of methane a better representation of molecular vibrational absorption due to methane present in the sample fluid.

The measurement of color absorption in the color channels provides a forecast of the color absorption at other wavelengths or in other channels. A specific example of application of the color correction algorithm to the data shown in figure 4, is illustrated in Fig.6. The optical density in the channel of methane (represented by curve 604)and the optical density in the base channel (displayed curve 606) significantly reduced because fixed effects color absorption. The optical density in the channel of oil (represented by curve 602) also significantly reduced by the application of the color correction algorithm. As you can see in Fig.6, curve 604 channel of methane after color correction increases to an asymptotic value. Curve 606 basic channel after color correction is almost at zero level, indicating that the largest share of optical density, characterized by the curve (406 figure 4) basic channel, was due to the color absorption. Like the curve 604 channel of methane after color correction curve 608 methane difference after color correction shows an increase, which can be used to predict pollution, so that the channels of methane, oil and basic channel after color correction can be used to predict the gas flow.

For specialists in the art will understand that you can implement a color correction algorithm applied to channel different from the channel of the oil channel and methane. To carry out a color correction with the help of specific embodiments of this invention can be in any channel component of the fluid. The channel component of the fluid" is any channel that can be used to determine the composition of the sample fluid CPE is s or any properties of the sample fluid. For example, some downhole samplers for fluid includes an optical sensor for the channel that corresponds to the gaseous non-methane hydrocarbons. In this channel color correction with the help of certain specific variants of the present invention.

Figure 10 shows a method that meets certain variants of the invention. First, the method involves obtaining data associated with an optical density of the sample fluid medium (optical density)at least one color channel and at least one channel component of the fluid (as shown in step 1002). In this description, the term "data optical density" is usually used to specify the data associated with the optical density or transmittance. In some embodiments, the invention provides for obtaining data of optical density for the two color channels. In some embodiments, the implementation provides for the collection of data for some set of points in time during the sampling process. In some embodiments, the implementation of the envisaged amendments for some set of points in time during the sampling process. Data may include data of optical tightly the tee in the required channels or can contain data of another type, which are related to the optical density, such as the value of the transmission coefficient. In addition, in some embodiments, the invention provides for receiving data by measuring, whereas in some other specific embodiments, the implementation of the data represent a previously measured data received from the media. In some embodiments, implementation of the latter, at least one channel component of a fluid medium includes a channel methane and channel oil.

Furthermore, the method provides for the determination resulting from the color acquisition function of wavelength for the optical density of the sample fluid based on the data of optical density for the said at least one color channel (as shown in step 1004). In some specific embodiments, the implementation of such a function ("color absorption") is defined in each of the set of moments of time. One example of such a function shown in equation 1. Data of at least one color channel can be used for defining constants in the General form of any equation selected to describe the color of acquisitions.

It should be noted that equation 1 contains two unknowns, which must be defined, but the invention is not limited to definition wide-angle the two unknowns. For example, the color absorption can evaluate one of the values or permit evaluation. This color absorption may contain only one unknown, which can be determined using data from only one color channel. In addition, specialists in the art will be able to withdraw, color absorption, which includes more than two unknowns. A typical fluid analyzer includes five color channels, which ensures that the definition of more than two unknowns. The invention is not limited to the form of the function of the color absorption.

In addition, when the process determines part of the optical density, color imparted by acquisitions at least one channel component of the fluid (as shown in step 1006). In some specific embodiments, the implementation part of the OP, due to the color of the acquisitions, is expected in each of the set of moments of time. In other specific embodiments, the implementation in the process determine the part of the optical density due to the color removals in the base channel.

In addition, when implementing the method is carried out a color correction data by subtracting the part of the optical density due to the color of the acquisitions, each mention is om, at least one of the channels of the components of the fluid (as shown in step 1008). In some embodiments, the implementation is done in each of some set of points in time. In some specific embodiments, the implementation of the method also provides for the elimination of the influence of scattering, at least one channel component of the fluid through the implementation of color correction in the base channel and subtracting the optical density after color correction in the base channel of the optical density after color correction in each of the mentioned at least one of the channels of the components of the fluid (as shown in step 1010), which is further described below.

The correction for water content

In the sample fluid water can affect the optical density measured in all channels. This "influence of water can be significant in wells that are drilling using the drilling fluid is water-based, and in wells that are drilling through formations containing natural water. 7 shows the influence of water, based on the sample of the fluid that is composed entirely of water. "Water channel" (represented by curve 710) works on the wavelength, which corresponds to the peak molecular vibrational absorption for water. As shown in this drawing, the water in the sample those who UCA environment can also significantly increase the optical density in the base channel (represented by curve 706), channel oil (represented by curve 702) and the channel of methane (represented by curve 704). The effect of water is more pronounced in the channel of the base oil and the channel (shown on the curves 702, 706)than in the channel of methane (represented by curve 704). Therefore, even small amounts of water in the sample fluid can have a significant impact on the accuracy of the predictions of pollution and gas factor, which is based on accurate measurement of optical density in the channel of methane.

Absorption in water in all channels associated with percentage weight (hereinafter referred to as the partial density of water in the sample fluid. That is, the impact of acquisitions in the water to an optical density increases with increasing amount of water or water density in the sample fluid. Another feature of acquisitions in the water is the fact that the relationship of acquisitions in the water for the different channels remain almost constant at any density of water. Thus, using the water channel in which the current absorption determined only by water, it is possible to calculate the absorption in water in all other channels.

For example, in some embodiments, the implementation of absorption in water in the channel of methane of approximately 17.2% of acquisitions in the water in the water channel. The ratio of acquisitions in the water channel of methane is 0,172. Thus, ODchannel methane=,172·OD water channel. Similarly, in some embodiments, the implementation of absorption in water in the channel of oil approximately 18.7% of the acquisitions in the water in the water channel (the ratio of acquisitions in the water = 0,187), and absorption in water in the base channel of approximately 22.8% of acquisitions in the water in the water channel (the ratio of acquisitions in the water = 0,228) (i.e ODchannel oil=0,187·ODcanal water,ODbasic channel=0,228·ODwater channel). It should be noted that the relationship of acquisitions in the water in different channels for acquisitions in the water in the water channel determined through experiments. Specific values may vary depending on the specific wavelengths used in each channel. In addition, different ways of determining these relations can give slightly different results. The values of the ratios of acquisitions in the water are not restrictive features of the present invention.

At each time level, the algorithm provides a measure of the optical density in the water channel, the calculation of acquisitions in the water in the channels of methane, and oil in the base channel on the basis of experimentally derived relationships and subtraction parameters acquisitions in the water of the parameters of each channel. Note that the influence of water can be eliminated from any channel, not just the channels of methane, oil and basic channel.

On Fig shown Cree is passed to channel oil (represented by curve 802), channel methane (represented by curve 804) and the base of the channel (shown on the curve 806)obtained in the analysis of liquid samples taken from wells drilled using the drilling fluid is water-based. The curves on Fig received after the expiry of a certain period of time, so the initial increase is not noticeable, and the lines are relatively flat. However, Fig you may notice that changing the water content in the sample fluid causes fluctuations in optical density measured in the channels.

Figure 9 shows curves for channel oil (represented by curve 902), channel methane (represented by curve 904) and the base of the channel (shown on the curve 906); these curves similar to the curves according pig, but obtained after elimination of the influence of the water by subtracting the settings acquisitions in the water from the respective parameters of each channel. Curves 902, 904 and 906 are much less fluctuation than the one that was before the implementation of the correction algorithm on the water content. This increases the accuracy of the predictions of pollution and gas factor.

Figure 11 shows a method that meets certain variants of the invention. First, the method involves obtaining data associated with an optical density of the sample fluid in the water channel and at least one Kan is Le component of the fluid (as shown in step 1102). In some embodiments, the implementation provides for the collection of data for some set of points in time in the sampling process. The data may contain optical density in specified channels or can contain data of another type, which are connected with an optical density, such as the value of the transmission coefficient. In addition, in some specific embodiments, the implementation provides for the receipt of data by measuring, whereas in some other specific embodiments, the implementation of the data represent a previously measured data received from the media. In some specific embodiments, implementation of the latter, at least one channel component of a fluid medium includes a channel methane and channel oil.

In addition, in the process I expect part of the optical density caused by acquisitions in the water in the channels of the components of the fluid (as shown in step 1104). In some embodiments of the invention, this calculation is based on the optical density in the channel of water and acquisitions in the water. In some other specific embodiments, the implementation in the process determine the part of the optical density due to acquisitions in the water in the base channel.

In addition, in the process carried out is orecchio data on water content, subtracting the portion of the optical density caused by acquisitions in the water, in each of the channels of the components of the fluid (as shown in step 1106). In some embodiments, the implementation is carried out in each of some set of points in time. In some embodiments, the implementation in the process also correction for scattering at least one channel component of the fluid conducting the correction of the water content in the base channel and subtracting the optical density after correction for the water content in the base channel of the optical density after correction for the water content in said at least one channel component of the fluid (as shown in step 1108), which is further described below.

The correction algorithm for scattering

Scattering is usually caused by the presence of fine particles in a sample fluid, which change the direction of some of the rays of incident light so that it does not reach the detector (photodetector). It is assumed that the scattering does not depend on the wavelength, i.e. it has the same impact on all channels. In most cases, the effect of scattering can be eliminated by subtracting the base channel from the channel parameters of methane and channel oil before these channels will be used to predict pollution and the gas factor. Note that in the base channel, you can perform color correction and correction of water content before the correction for scattering in the channels of methane and oil.

General algorithms

Descriptions of the above algorithms is given in relation to the offline algorithms designed to eliminate the influence of color, water effects and the influence of scattering. However, in many cases there are two or three such effect, so that these impact on the optical density of the sample fluid must be corrected at the same time.

In some specific embodiments implement consistently used offline algorithms to eliminate the influence of color, water, and scattering. On Fig shows one particular implementation of the first General algorithm as it is used at each time level. First, a stand-alone color correction algorithm designed to eliminate the influence of color or color correction channels (as shown in step 1202). This can be done, for example, as shown in figure 10. In addition, Fig shown that there is a correction for the water content to avoid the influence of water from the channels of methane, oil and base of the channel, as shown in figure 11. And finally, on Fig shown that it is possible to use a correction algorithm for Russ is affected to remove the effects of scattering of the channels of methane and oil (as shown in step 1206). This can be done by subtracting the base channel after color correction and correction for the water content of the channel parameters of methane and oil after color correction and correction for water content.

Normal specialists in the art will understand that certain specific embodiments of the invention may not include all of the steps shown in Fig. You can skip any of the three Autonomous algorithms. For example, if a sample of fluid taken from the reservoir, which contains only light oil and condensate, then you can skip the color correction algorithm (shown in step 1202). In addition, the order in which are separate, stand-alone algorithms, not a limiting characteristic of the invention. For example, in some specific embodiments, the implementation of the first perform the correction for water content (shown in step 1204), followed by the algorithms for color correction and correction for scattering. The order in which are separate, stand-alone algorithms, should not be considered limiting characteristic of the invention.

In other specific embodiments, the implementation of the color effect, the influence of water and the influence of scattering eliminate all of the channels at each time level at the same time. In some specific embodiments, the implementation is then carried out by constructing a mathematical model for the optical density in each channel. The following equation 3-12 illustrate the optical density in each of the ten channels for possible device analyzer fluid containing gaseous reservoir fluids. These equations represent the color absorption, absorption in water, scattering and absorption in methane and oil for each channel. In the case of the device with the analyzer fluid containing gaseous reservoir fluids, channel 0 is the channel of methane, channel 8 is the channel of oil, and channel 9 is characterized by absorptions due to all components - water, methane and oil.

You can build a system of equations that simulate the absorption in each channel:

In equations 3-12: α and β constant, L is the path length, w is the absorption of water in the water channel (in this case - in channel 6), s is the effect of scattering is independent of wavelength, λnthe wavelength of the n-th channel, p and q are constant, showing a very small absorption due to oil in the channels 5 and 6 respectively. A, b and C represent the mol the molecular vibrational absorption, due to methane and oil in the channels 0, 8, and 9. Using equation 10 as an example, note that the first member (αLeβ/λ0displays color absorption, the second member (s) displays scattering, the third member (0,172w) displays absorption in water, and the fourth member (A) shows the molecular vibrational absorption due to methane and oil. Methods for determining contamination and gas factor on the basis of permanent, such as a, b and C, are well known in the art. For example, methods for determination of gas factor described in U.S. patent No. 6476384 issued to Mullins and other

Ten separate equations described in equations 3-12 include seven unknown variables. Thus, to solve the system of equations for unknowns, including a, b and C, a reliable measurement of the optical density of only seven channels. If there is data from a larger number of channels, then to solve the system of equations can be used to choose the most reliable seven or you can use a minimization algorithm for solving a system of equations using data from all available channels. The algorithms minimize well-known in this technical field.

It should be noted that a specific equation, shown in equation 3-12, are not restrictive signs and is gaining. These specific equations are used only as an example. Normal specialists in the art will be able to create other forms of these equations, which could be used within the scope of the claims of the invention. For example, the absorption coefficient in water in the water channel (w channel 6) in the typical case determined experimentally. Thus, different experiment may give different results. In addition, another optical sensor, you can use channels with other wavelengths of light. The coefficients for each channel may differ from those shown in the above example.

In some embodiments of the invention, the system of equations includes the component of the scattering is independent of wavelength. Instead of using a constant s as a component of the dispersion in each channel use component of the scattering is independent of wavelength. In some embodiments of the invention component of the scattering is independent of wavelength, takes the form s+d/λnwhere s is the influence of scattering is independent of wavelength, d is a constant scattering and λnthe wavelength of the n-th channel.

The system of equations 13-22 has ten equations and eight unknowns. Thus, to solve the system of equations for a, b and C data required optical density only for the eight channels.

On Fig shows how corresponding to one variant of implementation of the present invention. The method comprises, first, obtaining data associated with an optical density of the sample fluid in one color channel, and at least in the aggregate optical channels (as shown in step 1302). In some specific embodiments, the implementation provides for the collection of data for some set of points in time during the sampling process. In some specific embodiments, the implementation of the envisaged amendments for some set of points in time during the sampling process. The data may contain optical density in specified channels or can contain data of another type, which are connected with an optical density, such as the value of the transmission coefficient. In addition, in some embodiments, the invention provides for Dan who's by measuring, while in some other embodiments, the implementation of the data represent a previously measured data received from the media.

The method further includes the construction of a system of equations that simulate the optical density of the sample fluid in each of the optical channels as the amount of color removals, molecular vibrational removals, removals in water and the dispersion (as shown in step 1304). In some specific embodiments, the implementation of this amount only includes two of the above factors, and at least in one specific embodiment, this amount includes three of the above factors. In some specific embodiments, the implementation provides for the determination of colour & a with the function of the wavelength. At least in one particular embodiment, the system of equations correspond to equations 3-12.

In some embodiments the invention dispersion is a function of wavelength. In at least one embodiment, the system of equations correspond to equations 13-22.

Furthermore, the method provides the solution to the system of equations for the molecular vibrations in the channel of methane and channel oil (as shown in step 1305). In some specific embodiments, the implementation of these the level of the Oia are solved in each of the set of moments of time.

In some specific embodiments implementing the invention relates to the electronic system and configured to receive data of optical density and the implementation of specific embodiments of the methods described above. In one particular embodiment, the electronic system includes a storage device, an input device configured to receive data of optical density, and a processor. The processor can be configured to use data to construct a system of equations that simulate the optical density in each of the set of optical channels as a sum of at least two elements from the group consisting of color options acquisitions, molecular vibrational removals, removals in water and scattering that depends on the wavelength, and for solving a system of equations determining the molecular vibrational absorptions in the channel of methane and channel oil.

Electronic system corresponding to some specific variants of the invention, made with the possibility of operative connection to a downhole sampler. In other specific embodiments, the implementation of the electronic system may be accomplished by incorporation into a downhole sampler.

Specific embodiments of the infusion is his invention may provide one or more of the following advantages. In some specific embodiments, its implementation of the invention provides a signal processing optical density obtained from the downhole fluid analyzer, when these signals are influenced by the color of the sample fluid. In certain specific embodiments implementing the invention mainly provides a signal processing optical density in circumstances where the signal is affected by the scattering of incident light in the sample fluid. Signal processing provides a more precise definition of pollution, gas factor, and any other important properties of the fluid, the definition of which is possible through analysis of this fluid.

In certain specific embodiments implementing the invention mainly provides a signal processing optical density in the circumstances, when the signal is influenced by more than one of such factors as color, water and scattering in the sample fluid. In some specific embodiments implementing the invention provides a signal processing optical density in the circumstances, when the signal is influenced by the colors of the water and scattering. At least in one specific embodiment, the invention provides for the simultaneous removal of color effects, water effects and influences of scattering that is allows to achieve a more precise definition of pollution, gas factor and other properties of the fluid.

Although the invention is described in connection with a limited number of specific variants of its implementation, specialists in the art, using this description, will understand that within the scope of the claims of the invention described above, it is possible to develop other embodiments of the invention. Therefore, the scope of claims of the invention should be considered limited only by the attached claims.

1. Way to Refine the data samples of the fluid, namely, that
get the data of optical density for the sample fluid, at least one color channel by measuring the optical density of the sample fluid at a wavelength of static fluid medium and at least one channel component of the fluid to determine the composition or properties of the sample fluid through the downhole sampler for fluid equipped with an optical sensor,
determine the color absorption on the basis of optical density for the sample of fluid in said at least one color channel,
determine the part of the optical density due to the color of the acquisitions, in the above-mentioned at least one channel component of the fluid, and
carry out the color correction data, discarding part of the optical density due to the color absorption, in the above-mentioned at least one channel component of the fluid.

2. The method according to claim 1, in which the received data of the optical density of the sample fluid in the two color channels and color absorption contains two unknowns.

3. The method according to claim 1, wherein the function definition color absorption, calculation of the optical density due to the color of the acquisitions, and the color correction is carried out on the basis of the data of optical density, collected over a set of points in time.

4. The method according to claim 1, in which the function of the color absorption depends on the wavelength of the incident light.

5. The method according to claim 1, wherein the aforementioned at least one color channel has a channel selected from the group consisting of methane, channel oil, as well as channel of methane together with channel oil.

6. The method according to claim 1, wherein an additional count gas factor of the sample fluid.

7. The method according to claim 1, wherein an additional count percentage contamination of the sample fluid.

8. The method according to claim 1, which additionally receives data of optical density for the sample fluid in the base channel,
expect part of the optical density due to color what ogladanymi, in the base channel on the basis functions of the color absorption,
carry out the color correction data of optical density in the base channel, discarding part of the optical density due to the color absorption, basic channel, and
perform data correction optical density of scattering for the said at least one channel component of the fluid, eliminating the optical density of the base channel of the optical density of the mentioned at least one channel component of the fluid.

9. Way to Refine the data samples of the fluid, namely, that
get the data of optical density for the sample fluid in the channel of water by measuring the optical density of the sample fluid at a wavelength of static fluid medium and at least one channel component of the fluid to determine the composition or properties of the sample fluid through the downhole sampler for fluid equipped with an optical sensor,
determine the part of the optical density due to acquisitions in the water, in the above-mentioned at least one channel component of the fluid on the basis of the optical density in the channel and water relations of acquisitions in the water, at least one channel component of the fluid, and
carry to the rrectio data of optical density on the water content in the above-mentioned, at least one channel component of the fluid, eliminating the portion of the data of optical density due to acquisitions in the water.

10. The method according to claim 9, wherein the calculation part of the data of optical density due to acquisitions in the water, and correction of water content is performed on data of optical density, collected over a set of points in time.

11. The method according to claim 9, wherein the ratio of acquisitions in the water is determined through experiments.

12. The method according to claim 9, wherein the aforementioned at least one channel component of a fluid medium contains a channel selected from the group consisting of methane, channel oil, as well as channel of methane together with channel oil.

13. The method according to claim 9, which additionally
get the data of optical density for the sample fluid in the base channel and
expect part of the optical density due to acquisitions in the water in the base channel on the basis of the optical density in the channel and water relations of acquisitions in the water for the base of the channel
perform data correction optical density on the content of water in the base channel, excluding the part of the optical density due to acquisitions in the water in the base channel and
perform data correction optical density of scattering for mentioned, Melsheimer, one channel component of the fluid, eliminating the optical density of the base channel of the optical density of the mentioned at least one channel component of the fluid.

14. The method according to claim 9, wherein an additional count gas factor of the sample fluid.

15. The method according to claim 9, wherein an additional count percentage contamination of the sample fluid.

16. Way to Refine the data samples of the fluid at which the received data of the optical density for the sample fluid, at least one color channel, the water channel, by measuring the optical density of the sample fluid at a wavelength of static fluid medium and at least one channel component of the fluid to determine the composition or properties of the sample fluid through the downhole sampler for fluid equipped with an optical sensor,
determine the color absorption on the basis of the optical density of the sample fluid in said at least one color channel,
determine the part of the optical density due to the color of the acquisitions, in the above-mentioned at least one channel component of the fluid
determine the part of the optical density due to acquisitions in the water, in the above-mentioned, at least on the s channel component of the fluid on the basis of the optical density in the channel and water relations of acquisitions in the water for mentioned, at least one channel component of the fluid, and
adjust the data of optical density in the above-mentioned at least one channel component of the fluid, eliminating the part of the optical density due to the color of the acquisitions, in the above-mentioned at least one channel component of the fluid and removing the part of the optical density due to acquisitions in the water, in the above-mentioned at least one channel component of the fluid.

17. The method according to clause 16, which receive the data of optical density for the sample of fluid in two color channels and color absorption contains two unknowns.

18. The method according to item 16, wherein the function definition color absorption, calculation of the optical density due to the color of the acquisitions, in the above-mentioned at least one channel component of the fluid, the calculation of the optical density due to acquisitions in the water, in the above-mentioned at least one channel component of the fluid and the correction data of optical density is carried out on the basis of the data of optical density, collected over a set of points in time.

19. The method according to clause 16, which additionally receives data of optical density for the sample fluid in the base channel,
I hope the part about the optical density, due to the color removals in the base channel based on the function of the color absorption,
expect part of the optical density due to acquisitions in the water in the base channel on the basis of the optical density in the channel and water relations of acquisitions in the water for the base of the channel
adjust the data of optical density in the base channel, excluding the part of the optical density due to the color removals in the base channel and excluding part of the optical density due to acquisitions in the water in the base channel and
perform data correction optical density of scattering for the said at least one channel component of the fluid by removing the optical density in the base channel of the optical density in the above-mentioned at least one channel component of the fluid.

20. Way to Refine the data samples of the fluid at which the received data of the optical density of the sample fluid in the aggregate optical channels by measuring the optical density of the sample fluid at a wavelength of static fluid, collect data from the optical density over the set of moments of time,
form model of optical density on the basis of collected data of optical density on about is agenie set of points in time as a function of the color acquisition function of wavelength, represents the summation of data from at least two components of the group consisting of color removals, molecular vibrational removals, removals in water and scattering, and
determine the molecular vibrational absorption, at least in the channel of methane and channel oil.

21. The method according to claim 20, wherein the aforementioned at least two components of the group consisting of color removals, molecular vibrational removals, removals in water and scattering, are a function of acquisitions in water as a function of wavelength.

22. The method according to claim 20, wherein the aforementioned at least two components of the group consisting of color removals, molecular vibrational removals, removals in water and scattering, are a function of scattering on wavelength.

23. Electronic system for more accurate data samples of fluid obtained using a downhole sampler for fluid containing
an input device configured to receive data of optical density for the sample fluid over the set of moments of time,
a storage device operatively associated with the input device, for storing received data and
a processor, operatively associated with the storage device and configured to used the I data of optical density for model generation optical density based on the collected data of optical density over the set of time points as a function of color removals from length waves, representing the summation of data from at least two components of the group consisting of color removals, molecular vibrational removals, removals in water and scattering, determination of molecular vibrational absorptions in the channel of methane and channel oil.

24. The electronic system according to item 23, which is operatively connected to the downhole sampler for fluid.

25. The electronic system according to item 23, which is made with the possibility of embedding in the downhole sampler for fluid.



 

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