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Method for bedrock crack prediction based on multi-attribute fusion

A fracture prediction and multi-attribute technology, applied in the field of bedrock fracture prediction, can solve problems such as large prediction errors and achieve the effect of improving efficiency

Active Publication Date: 2018-12-04
CHINA PETROLEUM & CHEM CORP +1
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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

Method used

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  • Method for bedrock crack prediction based on multi-attribute fusion
  • Method for bedrock crack prediction based on multi-attribute fusion
  • Method for bedrock crack prediction based on multi-attribute fusion

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Embodiment

[0115] The SN area of ​​the Northeast LS Fault Depression is used for illustration. Such as figure 1 The fracture prediction flow chart of multi-seismic attribute fusion is shown. (1) Collect bedrock fracture data in the LS fault depression and SN area, collect field outcrop and drilling core samples, observe and count field outcrop and core fractures. Based on the measured results, basic maps such as fracture filling characteristic distribution map and fracture density map were compiled, and the main directions of fractures in the study area were analyzed. (2) Carry out horizon calibration for the seismic reflection interface T5 in the SN area of ​​the LS fault depression, carry out seismic interpretation work, interpret the boundary line T5 of the basement top surface, form an 8×8 grid, and grid it; (3) Calculate the AFE fault predictive properties. AFE fracture prediction technology is used to predict the distribution of large-scale fractures in the study area.

[0116] ...

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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, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/30G01V2210/646
Inventor 杨昊周卓明陆建林宋振响韩志艳李浩张欣国
Owner CHINA PETROLEUM & CHEM CORP
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