A method for predicting the structural plan of the deep boundary of the sedimentary cover

 

Usage: in the study of regional peculiarities in the territories. Essence: according to seismographically and drilling form within the study area mixed space of geological and geophysical characteristics, including geological parameters of the upper section intervals, such as structural and paleostructure indicators of Mesozoic part of the sedimentary cover, and the set of characteristics of the observed geophysical fields and/or their transformations. Perform zoning of the study area. Allocate similar in structure areas. Transform within similar areas mixed space of geological and geophysical characteristics in the principal component space of the Ledger. Allocate significant GK, determine the best equation regressions, which calculates the depth of the reflecting horizon. Applying equation regressions predict structural plan deeply immersed boundaries of the sedimentary cover. Effect: increased accuracy and reliability. 1 Il., table 1.

The invention relates to the field of prospecting and exploration of minerals, in particular to methods for study of regional peculiarities of the structure of Saraswati, gravimetry, magnetometry, structural drilling, formation of different sets of fields of the original observations of different nature, their transformations and forecasting based on these results, the depth of the reflecting boundary (Brodovoy centuries, Nikitin A. A. Integration of geophysical methods. M., Nedra, 1984, S. 78-89). A distinctive feature of this method is the use of the received seismic data from the depths of the reflecting boundaries profiles as reference array for establishing a quantitative relationship between the depth and the characteristics of the geophysical fields.

The disadvantages of the method are the low accuracy of the prediction of the depth of the reflecting boundaries in structurally complex regions, technological difficulties multivariate data analysis of large dimension, nezadejstvovannye information on wells not uncovered target horizons, but containing a considerable amount of information about them.

Also known a method comprising conducting seismic and gravimetric followed by a comprehensive interpretation of the data by the method of correlation and separation anomalies (COMR). Method developed at the Department of field Geophysics MINH SE them. University (Shrilly. M. , Nedra,, 1977. 237 C.). It is a direct translation of the set of analyzed geophysical characteristics in the studied geological characteristics, while evaluating the accuracy of the reforms. Thus, the separation of geophysical anomalies is not through the use of a number of parameters (dimensions of the samples) and obtain a set of transformed maps, and subject specific set of geological task. Method COMR uses a quantitative assessment of the quality of separation of the field and the strength of links useful component of the field with the depth of the target boundary. In practice, however, the effectiveness of this method is reduced due to the following drawbacks: - there are elements of subjectivity in the study of optimal degree of background polynomial (optimal order background) due to the adjustment of the background under the study abroad; - the method is based on a very simplified model of the structure of the background component. It is believed that the background component selects for information about regional changes section. Meanwhile, in the observed fields can occur, and other components that are not associated with structural plan predictable borders; no of hypotheses about the spatial-temporal regularities of the formation of the section of the studied areas. The result of this points to the presence of possible geological interpretation of the observed correlation dependences between the analyzed geological and geophysical characteristics; - the method does not account for the entire volume of indirect quantitative information about the studied border. The result of the analysis is a large number of other indicators that contain valuable information about hypsometry deep borders. So, not involved materials drilling structural wells, not uncovered the target boundary, the data of near-surface geophysical surveys and others,

Closest to the invention (prototype) for the purpose and essential features is a method for predicting the structural plan of the deep reflecting horizon, including seismology, gravimetry, magnetometry, drilling, formation of different sets of fields of the original observations of different nature and/or their transformations and forecasting on the basis of these data the structural plan of the reflecting horizon (U.S. Pat. 2145106, MKI G 01 V 11/00, publ. BI 3 dated 27.01.2000 year). In this way to establish quantitative relationships between geophysical data and structural plan reflecting horizon method main Comte and at the best multiple regression dependence is the conversion of one or a set of principal components in the forward-looking structural plan reflecting horizon, the optimal variant regression is determined by the criterion of uniform convergence of predicted depths to depths installed by drilling or minimum mean square residual.

The disadvantages of this method is: - not taking into account the variability of correlations in the study area, leading to less accurate prediction of the structural plans of the target horizons; - conservation and use of the forecast of the depths of all computed on the original data principal component (CC). Meanwhile, the civil code, not related to the formal features to significant, means included in equation regressions random noise, which, by reducing the root mean square residual depths in fully characterized reference points, will adversely affect the accuracy of the forecast in the other; - the method does not account for the entire volume of indirect quantitative information about the studied border. The result of the analysis is a large number of other indicators that contain valuable information about hypsometry deep borders. So, not involved materials drilling structural wells, not uncovered the target boundary, the data of near-surface geophysical surveys and others; - analysis of the quality of the regression of drilling data. However, this value does not fully characterize the quality of the regressions, especially in the case study of small-scale structures in terms of horizontal bedding of the interfaces. So, when a small number of structural holes (the author of the invention of the prototype, it is recommended to use data on at least three wells) interval estimates of depths can be acceptable in practice, as suggested by the use of a point will create a false impression of the achieved accuracy.

An object of the invention is to improve the accuracy and reliability of the prediction of the depth discontinuities in the sedimentary cover and the reduction due to this, the number of empty wells in oil and gas exploration activities.

The problem is solved as follows.

In the method for predicting the structural plan of the deep boundary of the sedimentary cover, including seismology, gravimetry, magnetometry, drilling, formation of sets of fields of the original observations of different nature and/or their transformations, the transition from spaces geophysical characteristics to the space of principal components, the determination of the optimum variant of multiple the NT in depth discontinuities in the sedimentary cover, form a mixed space of geological and geophysical characteristics, which includes geological parameters of the upper section intervals, such as structural and paleostructure indicators of Mesozoic-Cenozoic part of the sedimentary cover, perform the zoning of the study area and highlight similar in structure plots, calculate mixed geological and geophysical principal components, regression analysis and forecast of the depths of the reflecting boundaries choose only significant principal components, when selecting the optimal regression equation as an additional criterion is used the coefficient of determination is calculated by the optimal regression equations the depth of the reflecting boundaries.

The difference of the proposed method against known is the ability to Refine the structural plan of the deep boundary of the sedimentary cover predicted by seismic data, gravity survey, magnetic and structural or deep drilling through the use of characteristics of the upper section intervals, such as structural and paleostructure indicators of Mesozoic-Cenozoic part of the sedimentary cover.

Studied scientific-technical and patent literature availa able scientific C of the proposed facility to the criteria of the invention.

The drawing shows a projected structural map on the roof of terrigenous Devonian.

The method is implemented as follows.

1. According to seismographically and drilling form within the study area mixed space of geological and geophysical characteristics, which includes geological parameters of the upper section intervals, such as structural and paleostructure indicators of Mesozoic part of the sedimentary cover, and a set of geophysical characteristics of the observed field and/or their transformations.

2. Perform zoning of the study area and highlight similar in structure areas.

The method of division is as follows.

- At the first stage of the analyzed set of points is divided into a number of elementary subsets corresponding to individual areas and structural objects in the study area. To define subsets related to these samples statistics: variance (s2) and standard deviation (s).

In the second stage to eliminate from sets of individual measurements, providing an unacceptably large impact on the average value, use the criteria Sovine. According to this criterion, the measurement should be Olsa variance will be less than 0.5 n, where n is the number of dimensions.

The third stage of "elementary" sample defined in the first stage, and some combination of their associations subjected to analysis according to the normal distribution. The analysis is carried out by bringing each observation in the sample to a standard normal form (Z) and later use2 - criterion (Pearson criterion).

In the fourth phase out the question of a possible set of two samples from the same General population, i.e. the Union of some elementary samples. These studies were performed by analysis of samples according to F-test (Fisher's exact test and t-test (student test).

3. Using the known method of principal component transform within similar in structure plots mixed space of geological and geophysical characteristics of the complex space of independent parameters - the main component (CC). The transition to the space GK denotes the additive decomposition of a mixture of signal and noise of different nature on the components. This makes it possible to increase the accuracy of the prediction of the structural plan of reflecting boundaries by eliminating interference and use only informative costumesa regression analysis only, that proved to be significant.

5. On the basis of regression analysis of the relationships between the values of the relevant Ledger and depth of the reflecting boundary of the EXHAUST gas at the points where the border was opened by wells, find the equation to calculate the depths of the EXHAUST gas. According to the criterion of statistical significance, the maximum value of the determination coefficient, the minimum mean-square residuals of predicted depths to depths that are installed by drilling data, among the regression equations choose the best. If statistically significant regression equations cannot be diagnosed, drilling additional wells, which should open the EXHAUST gas, after which it re-runs the regression analysis.

6. Calculate the optimal regression equation for the depth of the EXHAUST gas at the points where uncovered it well no. Based on the analysis of the predicted structural plan of the EXHAUST gas detected new and clarifies the structure of previously identified anticlinal structures and the point of inception of new wells.

Note: the Results of drilling of new wells are used to Refine the forecast structural plan, performing actions with p. 6.

As a specific example describes the materials section of the Saratov Volga region with a total area of 4 the owls of hydrocarbons is very urgent task of examining the structural plan of the reflecting horizon, identified with the roof of the deep Devonian terrigenous sediments. Difficulties of mapping this horizon is defined by the fact that it opened only 93 deep well.

On the above site was analyzed seismic data, deep and structural drilling and gravimagnetic. Formed a mixed space of geological and geophysical characteristics included:
1. D - absolute mark of the roof terrigenous Devonian according to deep drilling;
2. Di - box isochrons roof terrigenous Devonian by seismic data;
3. DD - temporary power Devonian terrigenous sediments on seismic data;
4. S - absolute mark of the roof Cenomanian according to structural drilling;
5. Al - absolute mark of the roof of the Albian stage according to structural drilling;
6. t-st - power between the roofs Turonian and Santonian stages according to structural drilling;
7. st-km - power between the roofs of Santonian and Campanian stages according to structural drilling;
8. Ga - observed anomalies in the gravity field according to the gravity survey area;
9. DG - transformed according to the method Saxova-Niguarda field gravity

Features 4-7 relate to the structural indicators of the upper section intervals - Mesozoic part of the sedimentary cover.

According to the invention was performed zoning of the study area with a selection similar to the structure sites. All the formal characteristics stood out six plots. Will give you a brief description.

Section 1 covers an area 770,25 km2. Within drilled 334 well - 173 deep and 161 structural. The target horizon opened 16 wells.

Plot 2 has an area of 987,5 km2and is ugleee section 1. Within drilled 219 structural wells. The roof of terrigenous strata of the Devonian revealed only two deep wells.

Section 3 covers the area 489,25 km2. It drilled 178 wells, of which 142 structural and 36 deep, the target horizon opened 21 wells.

Section 4 covers the territory 657,94 km2. Within this area there are 225 wells, of which 80 - structural and 145 - deep. Opened the target horizon 23 wells.

Area 5 area 768,5 km2characterized by the presence of 220 wells, of which 105 deep and 115 structural. Deposits of terrigenous Devonian revealed only five wells.

At points where the wells were exposed roof deep Devonian terrigenous sediments space of geological and geophysical characteristics were transformed into the complex space of independent parameters - the main component (CC). For comparison with the prototype of the calculation by the method of principal components was performed with inclusion in the feature data space on the upper intervals of the profile (characteristics metiskow column) and without taking into account these characteristics. Moreover, we have analyzed variants of the forecast builds a target horizon with a preliminary zoning studies and procedures without zoning.

For the regression analysis to forecast the depths of the reflecting boundaries were used only significant principal components. At 5% level of significance was three for sites 2, 4, 5, and four - for sites 1, 3, 6. In the variant without zoning areas of research relevant Ledger was four. When choosing the best regression equations for the prediction of the depth of the reflecting boundary used the coefficients of determination and standard error of the forecast. At the established optimal equations to calculate the depth of terrigenous Devo the table enables to conclude that a significant gain in accuracy and reliability of the forecast, achievable compared to the prototype due to the introduction of additional procedures preliminary zoning and inclusion in the feature space of the geological characteristics of the upper section intervals (for example, characteristics of Mesozoic strata). In all cases, after zoning studies, the coefficient of determination increased significantly. The increase of the coefficient of determination varies from 5,9 to 19.6%, averaging 12.1 per cent. There has also been a reduction in RMSFE target boundary from 4.7 to 12.2 with an average value of 7.5. Accounting characteristics of the upper section intervals (characteristics of Mesozoic strata) increased the coefficients of determination for the amount of between 6.6 to 18.8% (average 12.3%). Mean square error of prediction of the roof terrigenous Devonian decreased the size from 4.9 to 11.6 (on average by 8.0).

In the structural maps-sediment terrigenous Devonian strata for each of the sites.

The drawing shows a projected structural map on the roof of terrigenous Devonian. Section 6.

The results obtained in section 6 confirmed the presence of Izykowski STU fold. Identified two lifting (I and II), located in the Northern and South-Western parts, which are confirmed by seismic previous years. Thus, the use of the claimed method has allowed to clarify the structural plan deeply immersed boundary of the sedimentary cover - roof terrigenous Devonian deposits.

The results obtained lead to the conclusion that the prospects of Devonian rock complex in these areas should be reviewed to assess their productivity should conduct detailed seismic work.

Thus, a specific example of implementation shows that the proposed method is industrially applicable and effective in the implementation process of exploration for oil and gas. The transparency of each of the performed actions with the item content interpretation when implementing the method provides a high degree of physical and geological study of forecasting anticlinal traps of hydrocarbons at great depths of the EXHAUST gas.


Claims

A method for predicting the structural plan of the deep boundary of the sedimentary cover, including seismology, gravimetry, manicured from spaces geophysical characteristics to the space of principal components, determination of the optimum variant of multiple regression dependence and recalculate the optimal regression of one or a set of principal components in the depth discontinuities in the sedimentary cover, wherein forming the mixed space of geological and geophysical characteristics, which includes geological parameters of the upper section intervals, for example, structural and paleostructure indicators of meso-Cenozoic part of the sedimentary cover, then perform the zoning of the study area and highlight similar in structure plots, calculate mixed geological and geophysical principal components, regression analysis and forecast of the depths of the reflecting boundaries choose only significant principal components, when choosing the best regression equations as an additional criterion is used the coefficient of determination is calculated by the optimal regression equations the depth of the reflecting boundaries.

 

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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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