Method of geophysical prospecting to determine nefteproduktov porous reservoirs in the interwell space

 

(57) Abstract:

Usage: in petroleum Geology to optimize the placement of exploration and production wells in the studied sites with porous reservoirs. The method includes conducting a detailed seismic work, drilling with coring, electrical, radioactive, acoustic, seismic, logs, research core, test wells, and judgment on the obtained information about the presence of porous reservoirs, their hydroconductivity, nefteproduktov, the level of water-oil contact and the location of oil fields. According to the drilling and geophysical surveys of wells to determine the model of the reference spectral-temporal images nefteproduktov sediments and their spectral-time parameters. According to the survey area wells define the reference experimental spectral-temporal images nefteproduktov sediments and their spectral-time parameters based on the application of spectral-time analysis of seismic data and a quantitative evaluation of its results. Correlation and construction of the reference correlation dependences of the spectral-temporal parameters on seismic data in the area whom I am well testing. All seismic profiles continuously in the target recording interval hold time-frequency analysis and its quantitative spectral and temporal parameters in frequency and time scans with subsequent recalculation of the spectral-temporal parameters by reference correlation dependencies in the value of hydroconductivity and nefteproduktov porous collectors anywhere in the interwell space on the territory of the oil fields. The technical result consists in increasing the reliability, and usefulness of the data obtained.

The invention relates to petroleum Geology and can be used to optimize the placement of exploration and production wells on the examined object on the complex data of the ground seismic, electrical, radioactive, acoustic, seismic, logging, study of the core and well test.

Conduct seismic work, drilling with coring, electrical, radioactive, acoustic and seismic logging, well testing, the study of the core.

The sum of the data of drilling and geophysical research wells (GIS) by known criteria is judged on the presence of porous kollektoren oil fields.

According to acoustic, seismic, and radioactive logging, laboratory core studies are stiffness model of the target sediments, are computed synthetic seismic trace which are the time-frequency analysis (TFA), and determine the model of the spectral-temporal images (NWO) nefteproduktov porous reservoirs.

According to the survey area wells determine ITS experimental nefteproduktov deposits on the basis of the SWAN the target interval of the seismic record. Produce a quantitative evaluation of the model and ITS experimental using spectral-temporal parameters (SVP) in the frequency and time domains. These SVP represent the ratio of the energy of high frequencies and large times to power the low frequencies and small times. Model and experimental seismic SVP mutually correlated with each other, with water permeability and nefteproductproect porous reservoirs by drilling data and GIS, with the construction of the reference correlation charts and the assessment of the closeness of connections the correlation coefficient (ICC).

All seismic profiles continuously in the target interval of the seismic recording provideproduct using reference correlation dependences anywhere in the interwell space on-site oil fields.

The closest method of the prototype is “a Method of geophysical prospecting to determine the productivity of oil reservoir” (Arie A. G., Kopelevich E. A., B. C. Slavkin, Patent No. 2098851, 1997); “Assessment of hydroconductivity and potential productivity of productive layers in the interwell space” (B. C. Slavkin, Arie A. G., Kopelevich E. A., Geology of oil and gas, No. 7, M., 1997).

In this way the prototype productivity is determined based on the average constant values of the radius of the pore channels for each type of the geological section, as well as an effective unit of capacity, equal to the product of the coefficient of porosity on the effective thickness, and the dynamic coefficient of viscosity of the fluid in reservoir conditions.

The disadvantage of the prototype method is the assumption of the constancy of the radius of the pore channels in the areas of development of one particular type of the geological section, which (type of structure), in turn, are identified and mapped on the basis of spectral-time analysis of seismic records, proatherogenic on drilling data and GIS (“Method of geophysical prospecting to determine nefteproduktov types of geologic section” Kopilevich E. A., Davydova, E. A., B. C. Slavkin, Mushin, I. Ki when predicting nefteproduktov porous reservoirs in the interwell space and as a consequence, optimal placement of wells, increased development costs of the facility.

Technical problem on which this invention is directed, is to increase the reliability and validity of the determination of the conditions of laying new exploration and production wells on the basis of not discrete, averaged, and the continuous determination of hydroconductivity and nefteproduktov porous reservoirs in the interwell space on seismic profiles.

Method of geophysical prospecting to determine nefteproduktov porous reservoirs in the interwell space includes seismic surveying, drilling with coring, electrical, radioactive, acoustic, seismic, logging, the study of core and well testing.

The sum of the data of drilling based on the use of known methods and criteria define the reference water permeability and nefteproductproect porous reservoirs, level caps and the location of oil fields.

According to acoustic, seismic, and radioactive logging, laboratory core studies are stiffness model in wells, calculated synthetic According to seismic-based SWAN determine the reference experimental NWO and their SVPs in area wells.

Reference model and ITS and SVP must be the same with CVR>of 0.75, which indicates a reasonable and reliable determination of NWO and the SVP by seismic data.

The NWO are the results of TFA target interval of time sections based on seismic profiles in the form of a Swan column and its frequency (along the frequency axis) and time (on axis) energy spectra. SVP determined by the spectral densities of these spectra by formulas

where aiand Ajthe amplitude of the spectrum at frequencies fifjf1and f2- the start and end of the frequency spectrum at the level of 0.1 of the maximum; - the average frequency of the spectrum.

,

where Atoand arthe amplitude spectrum on the axis of time t0=tKand tr, t1, t2- start and end times of the spectrum; - the average value of time.

Thus, and are determined by the square of the sum of the amplitudes in the time interval t=t2-t1at one frequency, and and are determined by the square of the sum of the amplitudes in the frequency range of f=f2-f1at the same time.

SVP K1(f) and K2(t) can be initially classified by their structure in accordance with the principles of Art. A., Brody L. J., Kozlov, E. A., Fatianov F. I., M.: Nedra, 1990).

Structure SVP K1is that its main purpose is the detection and fixation of the integral indicator of the number of ranks in the analyzed interval of the section and the assessment ratio on dynamic expressiveness, i.e. the shape of the signal, and consequently, its spectrum and the SVP, as a consequence of the pore space structure or otherwise - size cross-sectional area of the channels of the porous medium, which is filtered fluid, which is known to characterize the permeability and water permeability. The structure of the symmetric K1(f) TO SVP2(t) you can count on the detection of the direction of sedimentation, i.e. to evaluate the degree of progressivity or regressivity of the analyzed interval of the section, and hence the nature of changes in permeability and hydroconductivity collectors in depth.

As you know, water permeability , where KCRthe permeability coefficient, heffis the effective thickness of the reservoir, the dynamic coefficient of viscosity of the liquid, in this case oil, which is defined for the field in General.

Thus, SVP K1and K2physically, the entire clerical established and experimentally confirmed, the maximum CVR is achieved when the correlation SVP k1and K2with values of KCRheffand not with average or weighted average values FORCR.

SVP k1and K2determined by all seismic profiles of the study area and then on empirical dependence of K1TO2=f(KCRheff) recalculated values hydroconductivity .

The achieved amount of information is sufficient to objectively characterize porous reservoirs for the parameter of hydroconductivity in all their points, where he conducted seismic surveys. The task of determining nefteproduktov porous reservoirs (the flow rate of the fluid per unit reduction in reservoir pressure in the wells) is solved using the well-known formula Dupuy, from which it follows that the desired parameter Q0=0,366 T/lg(L/r), where T is the water permeability, L is half the grid spacing of wells; r - radius wells.

If the definition of nefteproduktov is earlier than the operational stage, is used empirical dependence of Q0=f(T), which in most cases is linear.

Thus, the present predlozeniami point crosshole space on-site oil fields continuously, quantitatively, the model rationale and coordination with the results of the borehole research.

This provides a sharp decline in the cost of subsequent drilling exploration and production wells.

Method of geophysical prospecting to determine nefteproduktov porous reservoirs in the interwell space of the oil fields, including detailed seismic work, drilling with coring, electrical, radioactive, acoustic, seismic, logs, research core, test wells, and judgment on the obtained information about the presence of porous reservoirs, their hydroconductivity, nefteproduktov, the level of the oil-water contact and the location of oil fields, characterized in that according to the drilling and geophysical surveys of wells to determine the model of the reference spectral-temporal images nefteproduktov sediments and their spectral-time parameters, and by seismic data in the area of wells to determine the reference experimental spectral-temporal images nefteproduktov sediments and their spectral-time parameters based on the application of spectral-time analysis of seismic data and to the men to the energy spectra of low frequency and small times, with the subsequent cross-correlation and construction of the reference correlation dependences of the spectral-temporal parameters on seismic data in the area of wells with water permeability porous reservoirs by drilling data, as well as hydroconductivity and nefteproduktov according to the drilling and testing of wells, then by all seismic profiles continuously in the target recording interval hold time-frequency analysis and its quantitative spectral and temporal parameters in frequency and time scans with subsequent recalculation of the spectral-temporal parameters by reference correlation dependencies in the value of hydroconductivity and nefteproduktov porous collectors anywhere in the interwell space on the territory of the oil fields.

 

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FIELD: oil and gas industry.

SUBSTANCE: method includes performing three-dimensional seismic prospecting operations, drilling wells with taking of core, electric, radioactive, acoustic and seismic logging, testing of wells. On basis of drilling data and geophysical well research standard modeling seismic and well spectral-time images of oil-productive deposits and their spectral-time attributes are determined. On basis of data of surface three-dimensional seismic prospecting in area of wells standard experimental spectral-time images of oil and gas productive porous collectors and their volumetric spectral seismic attributes are determined on basis of use of spectral-time analysis of seismic prospecting data in goal range of recording and numeric estimation of its results. Following mutual correlation of values of hydraulic conductivity and capacity is performed on basis of drilling geophysical well research data with standard modeling seismic, well time-spectral attributes and volumetric spectral time attributes on basis of seismic prospecting data from area of wells. Optimal volumetric spectral seismic attributes are selected with greatest mutual correlation coefficients. Regression dependencies of optimal spectral seismic attribute are built, or same for complex attribute, with values of hydraulic conductivity and oil and gas productive porous collectors capacity according to drilling and geophysical well research data. Along all tracks of seismic time cube spectral-time analysis is performed and its numeric spectral-time parameterization on basis of optimal volumetric spectral seismic attribute, or complex attribute, with construction of attribute cubes and their following recalculation according to regression dependencies to hydraulic conductivity cubes and capacity cubes.

EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

SUBSTANCE: method includes performing three-dimensional seismic prospecting operations, drilling wells with taking of core, electric, radioactive, acoustic and seismic logging, testing of wells. In inter-well space seismic prospecting operations are performed by three-dimensional longitudinal waves according to deep point method. On basis of drilling data and geophysical well research standard modeling seismic and well spectral-time images of oil-productive deposits and their spectral-time attributes are determined. On basis of data of surface three-dimensional seismic prospecting in area of wells standard experimental spectral-time images and their volumetric spectral seismic attributes are determined on basis of use of spectral-time analysis of seismic prospecting data in goal range of recording and numeric estimation of its results. Following mutual correlation of values of hydraulic conductivity and coefficients of oil productiveness is performed on basis of drilling geophysical well research data with standard modeling seismic, well time-spectral attributes and volumetric spectral time attributes on basis of seismic prospecting data. Optimal volumetric spectral seismic attribute is selected with greatest mutual correlation coefficient. Regression dependencies of optimal spectral seismic attribute are built, or same for complex attribute, with value s of hydraulic conductivity and oil-productiveness coefficient of porous collectors according to drilling and geophysical well research data. Along all tracks of seismic time cube spectral-time analysis is performed and its numeric spectral-time parameterization on basis of optimal volumetric spectral seismic attribute, or complex attribute, with construction of attribute cube and its following recalculation according to regression dependencies to hydraulic conductivity cubes and oil productiveness cubes.

EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

SUBSTANCE: method includes performing three-dimensional seismic-prospecting operations, drilling wells with taking of core, electric, radioactive, acoustic and seismic logging, testing of wells. In inter-well space seismic-prospecting operations are performed in longitudinal waves according to deep point method. On basis of drilling and geophysical research data standard modeling seismic and well spectral-time samples of oil-productive cracked carbonate collectors and their spectral-time attributes are determined. On basis of three-dimensional seismic prospecting data in area of wells, standard experimental spectral-time images of oil-productive cracked carbonate collectors are determined as well as their volumetric spectral seismic attributes on basis of use of spectral-time analysis of three-dimensional seismic prospecting data in goal recording range and numeric estimation of its results. Mutual correlation of specific integral capacity of cracked carbonate collectors, hydraulic conductivity and oil productiveness is performed on basis of drilling data and geophysical researches of wells with standard modeling seismic, well spectral-time and volumetric spectral seismic attributes in zone of well. Optimal volumetric spectral seismic attributes are selected with greatest value of mutual correlation coefficients. Regression dependencies of optimal standard volumetric spectral seismic attributes are built, or complex attribute, with depth-specific integral capacity of cracked carbonate collectors, their hydraulic conductivity and oil productiveness on basis of drilling and geophysical well research data are built. Along all tracks of seismic time cube in goal range of recording spectral-time analysis is performed and its numeric spectral-time parameterization on basis of optimal volumetric spectral seismic attributes and their following recalculation on basis of set regression dependencies to cubes of integral depth-specific capacity, hydraulic conductivity and oil productiveness is performed as well.

EFFECT: higher reliability, higher precision, higher efficiency.

FIELD: oil and gas industry.

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EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

SUBSTANCE: method includes performing three-dimensional seismic operations, drilling wells with taking of core, electrical, radioactive, acoustic and seismic logging, testing of wells. Seismic operations are performed in three-dimensional inter-well space by longitudinal waves on basis of common deep point method. According to data from drilling and geophysical well research standard model seismic and well spectral-temporal images of cracked argillaceous collectors are determined as well as their spectral-temporal attributes. According to data from three-dimensional seismic operations in zone of wells standard experimental seismic attributes are determined and their volumetric spectral seismic attributes on basis of use of spectral-temporal three-dimensional seismic data analysis in target recording interval and numeric estimation of its results. Following mutual correlation of values of coefficients of capacity differentiation and oil productiveness is performed on basis of data from drilling and geophysical wells research with standard model seismic, well spectral-temporal attributes and volumetric spectral-temporal seismic attributes according to three-dimensional seismic data. Optimal volumetric spectral seismic attributes are selected with greatest mutual correlation coefficients and regressive dependencies of optimal volumetric spectral seismic attributes are built, or of a complex attribute, with values of coefficients of capacity differentiation and oil-productiveness of cracked argillaceous collectors according to drilling data and geophysical well research. Along al routes of seismic temporal cube spectral-temporal analysis is performed and its numeric spectral-temporal parameterization on basis of optimal volumetric spectral seismic attributes, or a complex attribute, with construction of attributes cubes and following recalculation thereof according to regressive dependencies to cubes of coefficients for capacity differentiation and oil productiveness.

EFFECT: higher reliability, higher precision.

FIELD: oil and gas industry.

SUBSTANCE: method includes performing surface three-dimensional seismic operations using 3D longitudinal waves according to common-depth-point method, drilling wells with extraction of core, electric, radioactive, acoustic and seismic logging, testing of wells, research of core. On basis of total data from drilling and geophysical research of wells, and known criteria, presence of collectors, their capacity, penetrability, hydro-conductivity, oil productiveness, level of water-oil contact, position of oil fields, and also presence of correlative connection between capacity, hydro-conductivity and oil productiveness, are detected and/or estimated. According to data from acoustic, seismic and radioactive logging, and laboratory research of core, liquid models of target deposits are constructed, synthetic seismic trajectories are calculated, along which spectral-temporal analysis is performed and model seismic spectral-temporal and acoustic samples of oil-productive collectors are determined, which together form an oil bed. According to data from surface three-dimensional seismic 3D operations and results of common-depth-point method in area of wells experimental seismic spectral-temporal and pseudo-acoustic images of oil bed are determined. Acoustic and pseudo-acoustic images are estimated using bed-average acoustic and pseudo-acoustic speeds within target range of depths and times. Model seismic, well spectral-temporal analysis results and standard optimal specific results, acoustic and pseudo-acoustic speeds are correlated to capacity, hydro-conductivity, oil productiveness of collectors, regressive dependencies are set as well as mutual correlation coefficient. Along all trajectories of seismic temporal cube within target range of seismic record spectral-temporal analysis is performed and pseudo-acoustic conversions with determining of optimal specific results, pseudo-acoustic speeds and construction of cubes of spectral-speed attributes, which are recalculated to cubes of third powers of capacity, hydro-conductivity and oil productiveness of collectors.

EFFECT: higher reliability, higher precision, higher trustworthiness, higher efficiency.

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EFFECT: enhanced precision and reduced cost of prospecting.

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SUBSTANCE: method involves performing seismic exploration; drilling wells; determining reflection horizon seam depth on the base of drilling data; obtaining dependence of above seam depth as a function of relief altitude and determining interval velocity of upper non-uniform layer for following subsurface geologic imaging.

EFFECT: increased accuracy.

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2 cl, 6 dwg

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EFFECT: increased efficiency of aerial deposit extend and age prediction.

2 dwg

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