METHOD FOR GEOPHYSICAL PROSPECTING FOR DETERMINING OIL PRODUCTIVENESS OF CRACKED CARBONATE COLLECTORS IN THREE-DIMENSIONAL INTER-WELL SPACE

摘要

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.