Dolomite reservoir prediction method, system and storage medium based on well-seismic combination

Abstract

The invention discloses a dolomite reservoir prediction method, system and storage medium based on well-seismic combination. The steps of the method include: obtaining logging data in a test area; analyzing the logging data in a drilling area with a sensitive curve to obtain Dolomite index characteristic curve and distinguish dolomite and limestone according to its response range difference; After the dolomite index characteristic curve of the described drilling area is subjected to artificial intelligence depth learning, obtain the dolomite index characteristic curve of the virtual drilling area; The dolomite index characteristic curves of the drilling area and the virtual drilling area are used as constraints, and post-stack seismic data are used for inversion to obtain the distribution and development of dolomite reservoirs in the test area. The present invention effectively distinguishes dolomite from limestone through the dolomite index characteristic curve, and accurately predicts the distribution and development status of dolomite reservoirs in the test area through deep learning of artificial intelligence and combined with post-stack seismic data, which is a good example for few wells. The exploration work in this area provides an effective prediction method.

Description

technical field [0001] The invention relates to the field of oil and gas exploration, in particular to a dolomite reservoir prediction method, system and storage medium based on well-seismic combination. Background technique [0002] As one of the most important carbonate reservoirs, dolomite has been favored by explorers for many years. In recent years, the discovery of many large oil and gas fields in China is closely related to the status of dolomite reservoirs, so the exploration method of predicting the distribution of oil and gas fields based on the distribution of dolomite reservoirs has been paid more and more attention. Due to the fast longitudinal and lateral phase changes and strong heterogeneity of dolomite reservoirs, especially the small difference in shear wave impedance and limestone, it is difficult to distinguish between dolomite layers and limestone layers on seismic sections. At present, the geophysical prediction of dolomite reservoirs is mostly based o...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a dolomite reservoir prediction method, system and storage medium based on well-seismic combination, which is used to solve the problem that dolomite and limestone are difficult to distinguish on the shear wave impedance diagram in the prior art, and in few wells Problems with relatively large limitations when using post-stack inversion technology for dolomite reservoir prediction

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