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Research Progress and Prospect of Sweet Spot Prediction and Evaluation Methods for Shale Reservoirs
YANG Zhaozhong , TENG Jinchi , WANG Xiaowei , XU Mingyang , LI Jiawen , GUO Jing , LIU Yiwen
Xinjiang Oil & Gas    2026, 22 (2): 57-65.   DOI: 10.12388/j.issn.1673-2677.2026.02.007
Abstract (1812)      PDF (1727KB)(10)       Save

Given the accurate prediction and evaluation of reservoir sweet spots,a core demand for the large-scale and cost-effective development of shale oil and gas against the backdrop of China’s high dependence of imported oil and gas,this study systematically reviews the research progress of prediction and evaluation methods for shale reservoir sweet spots,clarifies the applicability and limitations of various methods,and provides theoretical reference and technical support for the efficient deployment of shale oil and gas exploration and development. Based on relevant domestic and international research achievements,this study focuses on two core dimensions,namely the geological and engineering sweet spots,and systematically analyzes the core control factors,index system and technical characteristics of sweet spot evaluation with respect to three mainstream technical routes:experimental core tests,well logging and seismic data analysis,and numerical simulation. It is demonstrated that the evaluation concept of the geological-engineering "dual sweet spot" has become a consensus across the industry. Moreover,the core advantages of the three types of evaluation methods are clarified,and the key limitations are presented,including the uncertainty of scale conversion in core experiments,the multiplicity of well logging and seismic interpretation,and the accuracy of numerical simulation restricted by simplified assumptions. Finally,it is pointed out that the future evaluation of shale reservoir sweet spots needs to develop towards multi-dimensional integration,intelligent multi-source data fusion,and multi-physical field coupling dynamic evaluation,so as to comprehensively improve the prediction accuracy and engineering applicability.

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