Earthquake prediction method and device based on effective reservoir of tight sandstone oil and gas reservoir

Abstract

The invention provides an earthquake prediction method and device based on an effective reservoir of a tight sandstone oil and gas reservoir. The earthquake prediction method based on the effective reservoir of the tight sandstone oil and gas reservoir comprises the following steps: generating low-frequency and high-frequency data volumes of an effective reservoir indication factor of a target block according to a pre-generated rock modulus model and a pre-established effective reservoir indication factor; generating low-frequency and high-frequency data volumes of the effective reservoir indication factor according to a pre-generated synthetic seismic record and pre-generated seismic trace data; and predicting an effective reservoir according to the intermediate-frequency data volume, the low-frequency data volume and the high-frequency data volume. The method and device can accurately predict the distribution condition of the effective reservoir under the background that the reservoir is compact sandstone and the heterogeneity is very strong, which is proved on the proved reserve of an actual work area.

Description

technical field [0001] The invention relates to the field of petroleum exploration, especially to the technical field of seismic data processing, in particular to a seismic prediction method and device based on effective reservoirs of tight sandstone oil and gas reservoirs. Background technique [0002] With the deepening of geophysical exploration research, the reservoir prediction technology using combined well-seismic inversion is becoming more and more mature. In recent years, geological exploration has faced the difficulties of complex target geological bodies and refined reservoir prediction requirements, and the research target has changed from conventional clastic rock reservoirs to tight sandstone reservoirs. [0003] Due to the strong heterogeneity of tight sandstone reservoirs, complex pore structure, large differences in diagenesis, and low oil saturation. The complex lithology and pore characteristics of tight sandstone lead to a small difference in logging res...

AI Technical Summary

Problems solved by technology

The complex lithology and pore characteristics of tight sandstone lead to a small difference in logging response between sand bodies and mudstone, and a small difference in logging response between effective reservoirs and tight layers. Effective reservoirs cannot be distinguished simply from logging responses, resulting in reservoir difficulty of forecasting

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