Method for determining oil bed productiveness in three-dimensional inter-well space

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.

 

The invention relates to petroleum Geology and can be used to optimize the placement of exploration and production wells on the subject of research on complex data ground-based three-dimensional seismic survey 3D, electrical, radioactive, acoustic, seismic, logging, study of the core, well test.

There is a method of geophysical prospecting to determine the productivity of the oil reservoir (patent for invention №2098851), in which nefteproductproect 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 principal disadvantage of this method is:

- the assumption of the constancy of the radius of the pore channels in the development zones of the same 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;

- the neglect of possible seismic demolition, because this is a two-dimensional seismic survey 2D, characterized by a lack of detail, especially in complex seismolog the economic conditions and operational phase of the drilling object.

There is also known a method of geophysical prospecting to determine nefteproduktov porous reservoirs in the interwell space (patent for invention №2236030), is selected as the nearest equivalent.

The principal disadvantage of this method, is selected as the closest analogue is the neglect of possible spatial seismic demolition, because the SWAN is on temporary cuts of two-dimensional 2D seismic data, and associated lack of detailed studies and loss of precision work at the final stage, when carrying out the contour of the spectral-temporal parameters (SVP) and the coefficients of nefteproduktov in the process of mapping and interpolation of values between profiles. The disadvantage is that are physically homogeneous spectral-time parameters, which does not allow to make an integral estimation of reservoir properties of the oil reservoir on a fundamentally different seismic attributes.

In addition, in both of these known methods, the reliability of seismic SVP is not in full - without the use of natural analogue - vertical (borehole) SVP distribution curves GIS (acoustic, electric, radioactive).

Due to these shortcomings can be admitted, oshibki predicting nefteproduktov collectors in the interwell space and as a consequence, optimal placement of wells, the increase in development costs of objects.

Technical problem on which this invention is directed, is to increase the reliability and validity of the geological conditions of inception of exploration and production wells by determining nefteproduktov (flow rates, coefficients of nefteproduktov) porous reservoirs at any point in the three-dimensional crosshole space based on the use of seismic and GIS attributes of different physical nature and their subsequent integration algorithm of artificial neural networks.

How to determine nefteproduktov oil formation in three-dimensional interwell space includes terrestrial three-dimensional seismic survey 3D longitudinal waves by the method of common-depth-point (CDP), drilling with coring, acoustic, seismic, electrical, radioactive logging; the study of core and well testing.

On set of drilling data and GIS by known criteria is judged on the presence of collectors, their capacity, permeability, hydroconductivity, nefteproduktov, level caps, the location of oil fields, as well as correlation between capacity, water permeability and nefteproductproect (flow rates, ratios nefteproduktov the spine).

According to acoustic, seismic, and radioactive logging, laboratory core studies are stiffness (the product of the speed density) model of the target interval of the geological section in the wells, are computed synthetic seismic trace which are SWAN, determine the reference model seismic spectral-temporal images (NWO) and their spectral-temporal attributes (EAS).

According to GIS spend SWAN curves GIS in the frequency range equal to or close to the seismic, and in the time interval corresponding to the target nefteproduktov deposits, determine the reference borehole (vertical) ITS nefteproduktov porous reservoirs and their CBA (patent for invention №2201606).

According to ground-based three-dimensional 3D seismic in the area of wells to determine the reference experimental seismic ITS nefteproduktov reservoirs on the basis of TFA target interval seismic records and their volumetric spectral seismic attributes (OSS).

Model, borehole IAS and experimental OSS should be the same with correlation coefficient CVR≥to 0.75, indicating a reasonable definition of OSS on 3D seismic data.

ITS seismic data 3D - temporal cube, i.e. based seismic am is lited from three coordinates - x, y, t - A=f(x, y, t) is a four-dimensional dependence of seismic amplitudes from the coordinates x, y, f, t, or two cubes according to A=(x, f, t) and A=f(u, f, t), where f is a variable Central frequency spectra of seismic records, t - axis (depth), x, y spatial coordinates. The NWO is determined for each track temporary seismic cube.

ITS characterized quantitatively using OSS for each of the two cubes and the receipt of six cubes of OSS, i.e. three-dimensional dependence of OSS from the three coordinates of OSS=f(x, y, t).

The OSS in the amount of six attributes are determined by the energy (frequency along the frequency axis f) and temporary (on-axis time-t) spectra of the three-dimensional results, the SWAN cubes NWO.

OSSA along the frequency axis:

where S(A2)(t) is the spectral density of the frequency power spectrum is proportional to the square of the amplitude of seismic records in the target time interval (Δt); fnand fto- the initial (low) and end (high) frequency spectrum at the level of 10% of its maximum;

Thus, the OCCA1is the ratio of the energy of the high frequencies to the energy of low frequency energy spectrum.

where Δf=fto-fn,- weighted average of the frequency.

Thus, the OCCA2is the product of the specific power spectral density of the frequency spectrum by the average frequency.

where fmaxmaximum frequency energy of a frequency spectrum at the level of 30%-70% of its maximum.

Thus, the OSS3this is the product of the specific power spectral density of the frequency spectrum at the maximum frequency to select level (30%-70%) of its definition.

OSSA-axis times:

where S(A2)(f), tn, ttothat Δt, tcp,- the same parameters of the energy spectrum, only along the axis of time (t).

Values of OSS axis t are determined by the shift of the target interval (Δt) on a constant selected value.

Thus, two cubes of NWO are six cubes OCCA1-6in the coordinates x, y, t.

The combination of OSS in the area of wells quantify ITS reference oil reservoir. At the higher CVR model with seismic and borehole IAS determine optimal for a specific geologic conditions of OSS.

All the routes temporary seismic cube in the target recording interval is determined psevdoakusticheskuyu soon the ti (Y PAK) using well-known algorithms. Reliability YPAKshall be established by comparison with the acoustic velocity (VAK). KVK VPAK=f (VAKmust be >is 0.75, indicating a reliable determination of VPAKaccording to the survey interval oil reservoir. Cuba optimal OSS and VPAKtranslated in Cuba capacity, hydroconductivity and nefteproduktov using reference attributes of drilling data and artificial neural networks based learning perceptron and Kohonen algorithm. Fundamental physical basis of these translations is the fact that the NVA and the OSS can be initially classified by their structure in accordance with the principles of structural-formational interpretation and physical content of the spectral analysis.

The structure of the CBA1and OCCA1is that their main purpose is to identify and commit 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 spectral attributes, 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, as is well known, the characteristics of Arisue permeability and water permeability. The symmetric structure of the IAS4and the OSS4axis of time allows you to rely on the detection of the direction of sedimentation, i.e. to assess 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, μ - dynamic coefficient of viscosity of the fluid, in this case oil, which is defined for the field in General.

Thus, CBA1,4and the OSS1,4in a physical sense is entirely determined by the permeable volume, i.e. the CBA1,4, OCCA1,4=f(KCR×heff), because μ=const.

It is theoretically proved and experimentally confirmed that the maximum CVR is achieved when the correlation CBA1,4and OCCA1,4with values of Knpxheffand not with average or weighted average values ForCR.

OSS2and the OSS3characterize the analyzed interval of the section is mainly based on integral types of stratification and its severity, i.e. macro-, MIDI-, thin-layering, types of periodicity, rhythm, which is directly related to the volume of void spaces is or capacity.

OCCA5and the OSS6having the same structure as the OSS2The OSS3but defined by the axis of the times, can characterize the propagation characteristics of the layering (capacity) for the analyzed interval of the section.

Thus, the OSS by its physical and geological fact can be used to determine the hydroconductivity and capacity neftegazoperspektivnyh manifolds in three-dimensional inter-well space.

Nefteproductproect collectors is determined or known formula Dupuy during the operational phase of the drilling field, or on empirical linear relationship ToNPR=f(T), where KNPRis the coefficient of nefteproduktov,

,

where Q is the flow rate of oil, Δp - pressure drop in the well. Psevdoakusticheskuyu speed as well as acoustic, depend mainly on the capacity of the oil reservoir. Thus, the integrated use of seismic and GIS attributes having different physical nature of the spectral axis frequency - time and speed - formalized mathematical algorithms, artificial neural networks, physically quite reasonable.

Thus, the present proposal allows you to define according to the land seismic survey 3D nefteproductproect collectors in either the three-dimensional point crosshole space continuously, quantitatively, the model rationale and coordination with the results of the borehole research on several seismic attributes of different physical nature.

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

How to determine the productivity of the oil layer in the three-dimensional inter-well space, including three-dimensional seismic survey 3D method (common depth point), drilling with coring, electrical, radioactive, acoustic and seismic well logging, well testing, the study of core and judgment on the obtained information about the presence of the reservoir, forming an oil reservoir, capacity, 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 the wells define a reference model of seismic and borehole spectral-temporal and acoustic images nefteproduktov deposits, as well as their spectral-temporary and speed attributes, and according to the three-dimensional 3D seismic in the area of wells to determine the reference experimental spectral-temporal and psevdoakusticheskuyu samples and their bulk and spectral psevdoakusticheskuyu speed attributes on the new application of spectral analysis and psevdoakusticheskuyu transformations seismic records in the target time interval with subsequent cross-correlation of the reference attributes according to drilling, geophysical research wells and 3D seismic, finding the optimal volumetric spectral seismic attributes and reliability psevdoakusticheskuyu speeds by the highest values of the coefficients of cross-correlation, while the spectral-temporal attributes represent the ratio of the energy of high frequencies and large times to the energy of low frequency and small frequency energy and time spectra of the spectral image, and works of specific spectral density at the maximum frequency and time, or by the average frequency and time, then all the routes temporary seismic cube-determine the optimal volumetric spectral seismic attributes and psevdoakusticheskuyu speed in the target recording interval with building cubes optimum volume spectral seismic attributes and psevdoakusticheskuyu speeds, these cubes of seismic spectral-speed attributes are translated into Cuba capacity, hydroconductivity and nefteproduktov using reference attributes of drilling data and artificial neural networks based learning perceptron and Kohonen algorithm, they will judge the productivity of the oil reservoir at any point in the three-dimensional inter-well space.



 

Same patents:

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 three-dimensional seismic operations, drilling wells with extracting of core, electric, radioactive, acoustic and seismic logging, testing of wells. According to data from drilling and geophysical well research type of geological cross-section of target oil-gas productive deposits is determined. According to data from acoustic, seismic and radioactive logging, laboratory research of core, rigidity models of target deposits are set, synthetic seismic routes are calculated, which are used to perform spectral-temporal analysis and standard model seismic spectral-temporal images of oil-gas deposits are also determined. On basis of data of geophysical wells research - acoustic, electric, radioactive logging - well (vertical) standard spectral-temporal images of target range are determined by spectral-temporal analysis of well geophysical research curves. According to three-dimensional seismic operations data in well zone standard experimental spectral-temporal images are determined for oil-gas productive and other types of geological cross-section on basis of use of spectral-temporal analysis of seismic operations data in target recording range. Numeric estimation of model, well and experimental spectral-temporal images is performed. Model, well and spectral-temporal attributes and experimental volumetric spectral seismic attributes should correlate mutually with mutual correlation coefficient more than 0.75. Greatest mutual correlation coefficients are used to select optimal volumetric spectral seismic attributes. Along all routes of seismic temporal cube in target range of recording spectral-temporal analysis is performed and its numeric spectral-energetic parameterization by frequency and time with construction of cubes for optimal volumetric spectral seismic attributes or complex volumetric spectral seismic attribute. Results are compared to standard optimal volumetric seismic spectral attributes and different types of geological cross-section are determined numerically in any point of three-dimensional inter-well space with detection of position of oil-gas productive types of geological cross-section.

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.

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. 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.

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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.

SUBSTANCE: method includes performing three-dimensional seismic operations, drilling wells with extracting of core, electric, radioactive, acoustic and seismic logging, testing of wells. According to data from drilling and geophysical well research type of geological cross-section of target oil-gas productive deposits is determined. According to data from acoustic, seismic and radioactive logging, laboratory research of core, rigidity models of target deposits are set, synthetic seismic routes are calculated, which are used to perform spectral-temporal analysis and standard model seismic spectral-temporal images of oil-gas deposits are also determined. On basis of data of geophysical wells research - acoustic, electric, radioactive logging - well (vertical) standard spectral-temporal images of target range are determined by spectral-temporal analysis of well geophysical research curves. According to three-dimensional seismic operations data in well zone standard experimental spectral-temporal images are determined for oil-gas productive and other types of geological cross-section on basis of use of spectral-temporal analysis of seismic operations data in target recording range. Numeric estimation of model, well and experimental spectral-temporal images is performed. Model, well and spectral-temporal attributes and experimental volumetric spectral seismic attributes should correlate mutually with mutual correlation coefficient more than 0.75. Greatest mutual correlation coefficients are used to select optimal volumetric spectral seismic attributes. Along all routes of seismic temporal cube in target range of recording spectral-temporal analysis is performed and its numeric spectral-energetic parameterization by frequency and time with construction of cubes for optimal volumetric spectral seismic attributes or complex volumetric spectral seismic attribute. Results are compared to standard optimal volumetric seismic spectral attributes and different types of geological cross-section are determined numerically in any point of three-dimensional inter-well space with detection of position of oil-gas productive types of geological cross-section.

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.

FIELD: prospecting.

SUBSTANCE: method comprises exciting seismic vibration by means of a seismic source, generating simultaneously electric field by means of at least two electrodes, recording seismic vibration at least once when current is supplied to the electrodes and at least once when electric power is not supplied to them, producing the difference of seismic records obtained in the presence and absence of electric field, and detecting anomalous phenomena from the variation of the amplitude of reflected waves of seismic and seismic-electric fields.

EFFECT: enhanced precision and reduced cost of prospecting.

4 cl, 2 dwg

FIELD: oil geology, particularly to determine occurrence depths and relief structure of prospective geological horizons.

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.

FIELD: geophysics.

SUBSTANCE: in accordance to method by transformation of excited and registered wave fields, amplitude-frequency and transfer characteristics of deposits of hydrocarbon resources are formed along lateral line and below face of control well, which are used to determine position and depth of oil-gas deposits. After transformation and comparison of frequency characteristics of longitudinal and transverse resilient oscillations, character of saturation and filtering-capacity properties of oil-gas deposits are determined.

EFFECT: higher efficiency, higher trustworthiness.

2 cl, 6 dwg

FIELD: geology, particularly to predict aerial extent and localization of metal, non-metal and fuel deposits of any genesis and age.

SUBSTANCE: method involves discovering geological structures and determining perspective zones for further deposit prospecting. In the case of ore deposit prediction above perspective zones are determined in low-order dome and composite type structures allied with crystal magma chambers and located over faults of different orders or in areas in which faults of one or several classes intersect. In the case of gravel deposit prediction the zones are determined in area located near ore deposits in neighboring low-order depression structures. In the case of oil and gas reservoir prediction the zones are prospected in all medium-order structures along radial, ring or oval fault areas and along super-deep ring or oval fault areas in zones in which crystal magma chambers are absent.

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

2 dwg

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