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富有机质页岩天然裂缝表征研究进展 被引量:7

Progress in characterization of natural fractures in organic-rich shale
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摘要 天然裂缝对富有机质页岩油气的勘探开发具有极其重要的地质及工程意义,由于页岩独特的非均质性及复杂性使得天然裂缝研究更加困难。围绕富有机质页岩中天然裂缝的分类、发育特征参数及分布规律预测等方面,国内外学者在理论和技术上均取得了显著的进展。通过系统分析全球页岩气资源勘探开发现状、天然裂缝的类型、发育特征参数及预测方法等问题,结果表明:富有机质页岩储层与常规储层具有一致性和独特性,基于地质成因的天然裂缝分类方案优于其他分类方案,并得到了广泛的应用,其裂缝类型与常规储层存在一定的差异,基于分形理论、地震检测及古构造应力场模拟的天然裂缝预测方法是当前常用且效果较好的裂缝预测技术,可正确识别、评价不同尺度的天然裂缝对页岩含气性的影响,该研究对页岩气的开采具有重要意义。 Natural fractures are of great geological and engineering significance for exploring and developing organic-rich shale oil and gas.Due to their heterogeneity and complexity, the study of natural fractures is more difficult.Scholars at home and abroad both made significant theoretical and technical progress in the classification, development characteristic parameters, and distribution prediction of natural fractures in organic-rich shale.Through systematic analysis of the current situation of global shale gas exploration and development, types of natural fractures, development characteristic parameters and prediction methods, the results indicate that the organic shale reservoir is consistent and unique with the conventional reservoir.The natural fracture classification scheme based on geological genesis is superior to other classification schemes, and has been widely used.There are some differences between its fracture types and conventional reservoirs.The natural fracture prediction method based on fractal theory, seismic detection and paleotectonic stress field simulation is a commonly used and effective fracture prediction technology at present.It can correctly identify and evaluate the impact of natural fractures of different scales on shale gas-bearing property, and provides guidance for shale gas exploitation.
作者 李雨桐 杨西燕 范存辉 LI Yutong;YANG Xiyan;FAN Cunhui(School of Geoscience&Technology,Southwest Petroleum University,Chengdu,Sichuan 610500,China)
出处 《石油地质与工程》 CAS 2023年第1期32-38,共7页 Petroleum Geology and Engineering
关键词 天然裂缝 裂缝类型 预测方法 富有机质页岩 量化表征 natural fractures fracture type prediction method organic-rich shale quantitative characterization
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