6 april 35

AP25795061 – Development of scientifically based methods for determining calculation parameters for the growth of residual oil reserves and substantiation of technological indicators at a late stage of field development

AP25795061 – Development of scientifically based methods for determining calculation parameters for the growth of residual oil reserves and substantiation of technological indicators at a late stage of field development

Objective of the projectDevelopment and creation of a scientific and methodological basis for petrophysical modeling of heterogeneous terrigenous reservoirs to increase the geological information content and reliability of the construction of geological and technological models of supra-salt oil and gas fields.

Relevance: The project aims to improve the accuracy of evaluating the properties of reservoirs in supra-salt oil and gas fields at the late stage of development and to enhance the reliability of geological and technological models. Comprehensive analysis of geophysical and laboratory data enables modeling of spatial patterns of heterogeneous terrigenous reservoirs. As a result, the calculated parameters of productive horizons and technological characteristics of operational facilities are determined more reliably. The methodology increases the stability of reservoir parameter forecasts at long-developed fields and ensures more efficient development of new fields.

Scientific supervisor: Aliakbar Madiyar Manarbekuly, Ph.D., Associate Professor, K. Turysov Institute of Geology and Oil & Gas, Satbayev University.

Expected and achieved results: The research results aim to increase the reliability of constructing geological and technological models of post-salt oil and gas fields. A scientific and methodological basis for petrophysical modeling of heterogeneous terrigenous reservoirs will be developed. To assess reservoir heterogeneity, the influence of clayey and silty content and the geophysical parameters of sandy-siltstone-clayey rocks will be studied. The obtained correlation dependencies will improve the accuracy of reserve calculations and enhance the efficiency of field development. The research findings will be published in scientific journals and support the commercialization of the technology.

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