源-储共存型陆相页岩源-储耦合关系岩石物理评价OA
Rock-physics-guided evaluation of source-reservoir coupling in lacustrine self-sourced shales:A case study of Shahejie Formation in Dongpu sag
陆相页岩源-储耦合关系地质评价目前多侧重于宏观地质描述和定性分析,缺乏可直接用于支撑有利层段优选的定量评价体系,导致地质评价结果难以有效指导勘探开发实践.以东濮凹陷沙河街组为目标区,基于对岩心的烃源及储集特征分析,明确了沙河街组页岩油气的源-储共存模式.在此基础上,将孔隙度与有机质含量视为一个整体,定义其为源-储耦合系数(source-reservoir coupling coefficient,SRCC),并将该系数作为地质甜点评价的关键参数之一.为实现SRCC的定量评价,以岩石物理实验分析为核心,构建了垂直层理方向纵波速度预测SRCC模型,分析了SRCC累积频率分布特征,最终确定将SRCC值为 2.1和 0.7作为划分Ⅰ类、Ⅱ类和Ⅲ类源-储配置层段的阈值.单井源-储耦合关系评价结果表明,沙四上亚段 3小层整体以Ⅰ类和Ⅱ类源-储配置层段为主.其中,Ⅰ类层段兼具较高的生烃潜力和良好的储集条件,与黏土质混合页岩和碳酸质混合页岩这两类纹层状优势岩相一一对应.研究成果为前梨园洼陷甜点段的优选以及水平井的靶窗设计提供了技术支撑.
Despite its significant progress,current geological evaluation of source-reservoir coupling in lacustrine shales predominantly focuses on macroscopic description and qualitative analysis.The lack of a quantitative parameter system that can directly support sweet spotting restricts the practical application of the evaluation results in effectively guiding exploration and development.Targeting the Shahejie Formation in the Dongpu sag,this study identifies a typical self-sourced pattern for shale oil and gas based on a comprehensive core analysis of the source and reservoir characteristics.Building on this,porosity and total organic carbon(TOC)content are integrated and defined as the source-reservoir coupling coefficient(SRCC),which is adopted as a key parameter for geological sweet-spot evaluation.To achieve quantitative SRCC evaluation,an exponential model is established,using rock physics experimental data,to predict SRCC from vertical P-wave velocity.An analysis of the cumulative frequency distribution of SRCC leads to the establishment of thresholds at 2.1 and 0.7 to delineate three classes(Class Ⅰ,Ⅱ,and Ⅲ)of source-reservoir configurations.Single-well evaluation suggests that Classes Ⅰ and Ⅱ are dominant in Zone 3 of the upper Sha4 Member.Class-Ⅰ intervals,comprising two predominant lithofacies of laminated argillaceous mixed shales and laminated calcareous mixed shales,exhibit both high hydrocarbon generation potential and promising reservoir properties.These findings provide a foundation for optimizing sweet-spot prediction and designing horizontal well target windows in the Qianliyuan sub-sag.
徐旭辉;刘卫华;李传强;蔡振家;王洋
中石化石油物探技术研究院有限公司,江苏 南京 211103中石化石油物探技术研究院有限公司,江苏 南京 211103中国石化中原油田分公司物探研究院,河南 濮阳 457001中石化石油物探技术研究院有限公司,江苏 南京 211103中石化石油物探技术研究院有限公司,江苏 南京 211103
能源科技
沙河街组页岩源-储耦合系数地震岩石物理纵波速度源-储配置分级
Shahejie shalesource-reservoir coupling coefficientseismic rock physicsP-wave velocitysource-reservoir configuration classification
《石油物探》 2026 (2)
294-307,14
国家自然科学基金重点项目(42430810)资助. This research is financially supported by the National Natural Science Foundation of China(Grant No.42430810).
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