QUANTITATIVE FORECAST OF MAPS OF EFFECTIVE PARAMETERS OF OIL AND GAS PRODUCTIVITY USING SEISMIC DATA WITH THE HELP OF DEEP NEURAL NETWORKS

(Priezzhev I.I. Egorov S.V. Tschelkunov A.E. )

A new productivity parameters prediction has been developed based on nonlinear operator using combination of deep learning neural network, genetic algorithm, gradient learning method and Tikhonov regularization. Proposed technology and methodology compares to classic attribute analysis based on linear regression approach.......

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  • 2017  № 6, pp. 2-9

FINITE-DIFFERENCE SEISMIC FORWARD MODELING TO IMPROVE THE PROCESSING EFFICIENCY AND QUALITY OF SEISMIC INTERPRETATION

(Tverdokhlebov D.N. Danko E.A. Kashirina E.G. Korobkin V.S. Filichev A.V. Gaiduk A.V. )

Seismic exploration has been carried out for more than a decade on the huge areas of Eastern Siberia. However, in spite of all the advances in the development of static and kinematic corrections algorithms, noise reduction, imaging in modern processing software and success in developing processing work-flows, seismic data characteristics of the Siberian platform geological settings remain one of the most difficult for processing and interpretation. In order for better understanding of the seismic imaging features on gathers and sections, it is necessary to perform special works on seismic forward modeling. The authors constructed a detailed seismogeological model involving all available geological and geophysical information for finite-difference modeling. Qualitative synthetic data approximated to real seismic materials were obtained as a result of modeling. The performed estimations make it possible to recommend the use of forward modeling on the basis of a detailed geological model for processing procedures testing and evaluating the results of geological and geophysical data interpretation.......

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  • 2017  № 6, pp. 10-18

THE ELASTIC PROPERTIES OF ROCKS UNDER STATIC AND DYNAMIC LOADS

(Gorodnov A.V. Chernoglazov V.N. Ravilov N.Sh. )

In the scientific literature, a large number of works are devoted to the study of the relationship between static and dynamic elastic modulus of a wide variety of materials: porous rocks of oil and gas fields, surface soils used in construction of buildings and structures, concrete of various grades, composite materials with specified properties. The paper presents a generalization of the regularities of the behavior of the elastic properties of rocks and uncultivated soils, depending on the degree of their compaction and lithification. The analysis of the results of experimental studies of static and dynamic elastic moduli performed on 40 core samples at a reservoir modeling plant is presented. These rocks are represented by carbonate rocks with an intergranular type of pore space and a wide range of porosity coefficient variation. The dependences of elastic characteristics of rocks from petrophysical parameters.......

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  • 2017  № 6, pp. 19-24

SPATIAL POTENTIAL FIELDS ANALYSIS BASED ON POISSON WAVELETS

(Bulychev A.A. Kuznetsov K.M. )

Current article discusses a possibility of applying a continuous wavelet transformation based on Poisson kernel for processing and interpretation of gridded gravity and magnetic data. A number of examples, based on modelling simple geometric bodies, highlight applicability of using a wavelet spectrum to determine singular points of potential field sources.......

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  • 2017  № 6, pp. 25-32

APPLICATION OF ELECTROMAGNETIC TECHNIQUES FOR PROSPECTING, EXPLORING AND MONITORING HYDROCARBONS

(Spichak V.V. )

Modern possibilities of the electromagnetic sounding methods with respect to the search, exploration and monitoring of the hydrocarbons are considered. A special attention is paid to mapping of the HC migration paths, increasing of the HC search reliability in the complex geological conditions, decreasing of the probability of drilling of empty wells, assessment of the reservoir rock properties and fluid saturation, determining of the deposit spatial boundaries and optimization of the exploitation cycle. A new drilling scheme is discussed, which enables spatial forecast of the reservoir rock properties, temperature and fluid saturation while drilling.......

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  • 2017  № 6, pp. 33-44
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