Prestack seismic attribute-based carbonatite reservoir phase forecast method and device

Abstract

The invention provides a prestack seismic attribute-based carbonatite reservoir phase forecast method. The prestack seismic attribute-based carbonatite reservoir phase forecast method comprises the steps of inverting a carbonatite prestack reservoir elastic parameter; building a logging reservoir parameter information-based carbonatite reservoir phase prior probability model; and achieving reservoir three-dimensional reservoir phase forecast of carbonatite reservoir by a Bayesian classification method according to phased achievements of the first step and the second step. According to the prestack seismic attribute-based carbonatite reservoir phase forecast method, logging reservoir information-based reservoir phase division of carbonatite reservoir and carbonatite reservoir phase prior probability model is used as a basis, excellent reservoir phase forecast of the carbonatite reservoir is achieved by the prestack seismic reservoir elastic parameter inversion and reservoir multi-parameter Bayesian classification method, the carbonatite excellent reservoir description accuracy can be improved, the exploration and development risk of the carbonatite risk is reduced, and meanwhile, adecision basis is provided for well location deployment of the carbonatite reservoir.

Description

technical field [0001] The invention relates to the field of seismic oil and gas exploration and development, in particular to a method for predicting carbonate reservoir facies based on pre-stack seismic attributes. Background technique [0002] Carbonate oil and gas field reserves account for about 50% of the total reserves in the world, and their production also accounts for more than 60% of the total production. Carbonate reservoir is a very complex reservoir type, and the fine description of carbonate reservoir is still a long-term worldwide problem. [0003] Carbonate rocks are of various types, and their mineral structure and formation evolution are complex. Compared with sandstone reservoirs, carbonate reservoirs have more types of storage space and larger secondary changes, and have greater complexity and diversity. The pores of carbonate reservoirs are generally characterized by "porosity forming at the shallow surface, preservation and adjustment at the middle d...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of difficulty, low accuracy and high drilling risk in the description of carbonate reservoirs in the existing methods, the present invention proposes a method to improve the accuracy of description o

Images