石油物探2024，Vol.63Issue(4)：846-857,12.DOI:10.12431/issn.1000-1441.2024.63.04.013
储层断裂高分辨预测及连通性评价方法研究与应用
High-resolution fault detection and connectivity evaluation method and its application
摘要
Abstract
Identifying fault system is the first step in seismic interpretation and a key component of formulating exploration and de-velopment strategies;it is of great significance for the early,middle,and late stages of exploration and development.Attribute ex-traction using seismic data with high resolution and high signal-to-noise ratio is the key to low-relief structure interpretation and fault detection.High-precision evaluation results of reservoir fault connectivity can effectively guide and formulate reasonable devel-opment technology plans,and improve oil and gas reservoir recovery efficiency.When oil and gas reservoirs are deeply buried and the underground geological conditions are complex,the quality of seismic data will be reduced.In this case,directly using methods based on seismic data discontinuity(e.g.coherence cube technology)to identify faults will lead to problems such as low resolution,imprecision,and insufficient description of faults connectivity;thus it is difficult to meet the needs of fine exploration.In order to improve the accuracy and resolution of fault prediction and analyze the connectivity of reservoir faults,we propose a method of res-ervoir fault prediction and connectivity evaluation,which combines fault enhancement based on a LoG operator,fault refinement based on feature vector,and fault connectivity assessment based on three-dimensional steady-state saturation and flow equation.As per a case study of Longmaxi shale reservoirs in Weiyuan,improved signal-to-noise ratio and horizontal and vertical resolution by fault enhancement and refinement facilitate detailed interpretation of small fractures;seismic attributes extracted after processing perform better than coherence attribute in fault identification with improved resolution and precision.Connected faults are high-lighted using the connectivity evaluation method,and small faults are connected.According to above results and porosity predic-tion,fracture connectivity is divided into three types and evaluated separately.In conclusion,target reservoirs are rich in faults and medium-to small-scale fractures with good connectivity,which may function as the reservoir space and migration pathways of gas.关键词
储层断裂/高分辨预测/连通性评价/断层增强/断层细化处理Key words
reservoir fault/high-resolution prediction/connectivity evaluation/fault enhancement/fault refinement分类
天文与地球科学引用本文复制引用
雍林,程冰洁,徐天吉..储层断裂高分辨预测及连通性评价方法研究与应用[J].石油物探,2024,63(4):846-857,12.基金项目
国家自然科学基金面上基金(42074160)和四川省自然科学基金项目(2023NSFSC0255)共同资助.This research is financially supported by the National Natural Science Foundation of China(Grant No.42074160)and the Natural Science Founda-tion of Sichuan(Grant No.2023NSFSC0255). （42074160）
