Method for bedrock crack prediction based on multi-attribute fusion

Abstract

Provided is a method for bedrock crack prediction based on multi-attribute fusion. The method includes following steps: firstly, searching and performing statistics on data and information of bedrocksin a research region; secondly, developing calibration of a basement layer position, performing a seismic interpretation work on the boundary of the top surface of the basement of the research region, and establishing a bedrock stratigraphic framework of the research region through the interpretation work; thirdly, calculating an AFE fracture prediction attribute; fourthly, calculating a frequency division coherent attribute; fifthly, calculating an ant tracking attribute; sixthly, performing datamation on an obtained basement lithologic distribution map of the region through identification of the basement lithology, calculating different lithologic crack influence factors epsilon according to statistical results, and generating an influence factor epsilon planar data volume; and seventhly, performing an attribute fusion calculation based on the well attribute. The efficiency for basement crack prediction is substantially improved, the crack distribution characteristics can be accurately determined, bedrock buried-hill exploration target regions are further figured out, and an important practical significance is attached to acceleration of oil gas productivity construction.

Description

technical field [0001] The invention is a method for predicting bedrock cracks applied in the field of exploration, in particular to a method for predicting bedrock cracks based on multi-attribute fusion. Background technique [0002] With the sharp decline in the output of old oil areas, both at home and abroad regard the deep layers of old oil areas as a key exploration field for discovering new oil and gas reservoirs and finding new reserves. As an important deep exploration field, bedrock oil and gas reservoirs contain huge exploration potential Potential is one of the key areas of oil and gas exploration at present and in the future. The storage spaces of bedrock oil and gas reservoirs are mainly fractures, and the degree of oil and gas enrichment is closely related to the development of fractures. Therefore, successful prediction of fractures is the key to finding bedrock oil and gas reservoirs. Predecessors have done a lot of work on fracture prediction. At present, ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings of large prediction errors in the prior art, and to provide a technology for predicting bedrock fractures by using the multi-attribute fusion method (WFGI) based on geological attributes for various post-stack seismic attributes of fractures of different scales method, thereby improving the reliability and accuracy of bedrock fracture prediction

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