Experience and prospects of using modern research methods in tight reservoir studies

UDK: 551.263.553.98
DOI: 10.24887/0028-2448-2026-4-13-17
Key words: oil, gas, tight crystalline rocks, fractured carbonate reservoirs, seals, research methods, research experience
Authors: A.N. Dmitrievsky (Oil and Gas Research Institute of the RAS, RF, Moscow); V.L. Shuster (Oil and Gas Research Institute of the RAS, RF, Moscow)

As oil and gas exploration depths increase, rock compaction occurs, altering the reservoir structure, the volume of carbonate and crystalline rocks increases. The structure of tight rock deposits, particularly in basement formations, is characterized by significant heterogeneity in the composition and petrophysical properties of the rocks, and uneven distribution of decompressed reservoir rocks within the section. This article presents the summary results of the application and prospects of using modern research methods and approaches to studying the structure of oil and gas deposits in tight rock, predicting reservoirs within crystalline and carbonate deposits, and assessing their fracturing and cavernosity. A systems approach to evaluating geological and geophysical data was used to address these challenges. Modern «scattered wave» technology was used in the processing and interpretation of seismic data obtained by the 3D common depth point method, enabling the prediction of decompressed rock zones in the section based on elevated local energy attribute values. Using «seismic imaging» technology, the trap type is predicted based on seismic characteristics. Applying optical core analysis methods (with a scanning microscope) enables the identification of micro- and macrofractures in the rock, the sizes of identified caverns and microfractures, and the establishment of metasomatic zoning of hydrothermally altered rocks, thereby creating a detailed geological model of the reservoir. Joint research of OGRI of the RAS along with Gazpromneft and Rosneft companies using seismic research methods, core analysis, and well logging data enabled refinement of geological models of oil deposits in carbonate sediments and identification of promising targets.

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