石油地球物理勘探2023，Vol.58Issue(6)：1499-1507,9.DOI:10.13810/j.cnki.issn.1000-7210.2023.06.022
非常规储层脆性研究进展及展望
Progress and prospects of brittleness research in unconventional reservoirs
摘要
Abstract
This paper briefly reviews the current domestic and international research status and influencing factors re-lated to brittleness.On this basis,we summarize seven main expressions for brittleness indices and expound upon their respective physical interpretations.Brittleness prediction methods for reservoirs are categorized into seismic brittleness inversion based on conventional approaches and brittleness prediction based on deep learning techniques.Meanwhile,the advantages and disadvantages of the two methods are evaluated.Conventional methods are charac-terized by wide applications,relatively mature algorithms,stability and reliability,and requirements for substantial prior knowledge with limited effects in complex geological conditions.Conversely,deep learning methods feature adaptability to intricate geological conditions,no need for prior information,and straightforward principles and pro-cedures.However,the training process demands significant computational resources and time.Additionally,we in-troduce new technologies such as direct inversion of Bayesian AVAZ brittleness,machine learning brittleness predic-tion based on well-logging derivatives and volatility attributes,and hybrid neural network brittleness prediction by employing CNN-LSTM models.Finally,this study provides an outlook on the future development of brittleness prediction techniques.关键词
非常规储层/脆性指数/杨氏模量/泊松比/叠前反演/机器学习Key words
unconventional reservoirs/brittleness index/Young's modulus/Poisson's ratio/prestack inversion/ma-chine learning分类
天文与地球科学引用本文复制引用
刘震,张军华,于正军,任瑞军,孙有壮..非常规储层脆性研究进展及展望[J].石油地球物理勘探,2023,58(6):1499-1507,9.基金项目
本项研究受国家自然科学基金项目"含油气盆地低级序断裂的发育规律及其与高级序断裂的成因联系——以渤海湾盆地济阳坳陷为例"(42072169)和中国石化股份公司先导项目"准东地区二叠系非常规甜点预测技术研究"(P21007)联合资助. （42072169）
