石油与天然气地质2025，Vol.46Issue(6)：1745-1761,17.DOI:10.11743/ogg20250601
中国陆相页岩油分类分级评价的现状、挑战与发展趋势
Current status,challenges,and future trends of the classification and grading evaluation of lacustrine shale oil in China
摘要
Abstract
Scientific classification and grading evaluation provide a theoretical foundation and key prerequisite for the cost-effective development of lacustrine shale oil in China.Based on a systematic literature review,along with comprehensive investigation and judgement,we present a thorough summary of advances in research on the classification and grading evaluation of lacustrine shale oil in China,andidentify core challenges and future trends.The evolutionary path and inherent logic of the shale oil classification system are clarified.Furthermore,we elaborate high dynamism and type-dependence of key parameter thresholds,and systematically compare the applicability and limitations of various evaluation methods ranging from multi-parameter overlay to machine learning,while focusing on the"four-property"parameter system consisting of reservoir properties,oil-bearing capacity,oil mobility,and fracability for shale oil evaluation.The analytical results reveal three major limitations in the current classification and grading evaluation.First,the classification schemes,in spite of diversity,lack a unified framework,leading to conceptual confusion and hindered popularization.Second,the evaluation parameters prove cumbersome and lack universal criteria,resulting in key parameter threshold significantly varying by basin and type,thus the absence of a unified understanding of the formation mechanisms of shale oil.Third,the disconnection between assessment methods with exploration and exploitation practices is manifested in the mismatches between geological and engineering sweet spots and broken links in the upgrade chain from resource volume to productivity.Currently,the lacustrine shale oil evaluation paradigm in China is shifting from static description to dynamic prediction and from a single geological dimension to a geological-engineering-economic multi-dimension synergy.Future efforts should be put into constructing a dynamic,full-lifecycle classification and grading assessment system by deepening the integration and applications of multi-source data and artificial intelligence(AI)technologies.Furthermore,it is necessary to thoroughly analyze typical calibration areas and develop industry standards,thus enhancing the standardization,precision,and cost-effective applications of the classification and grading evaluation of lacustrine shale oil in China.关键词
地质-工程-经济一体化/源-储耦合/人工智能/分类分级/陆相页岩油Key words
geological-engineering-economic integration/source rock-reservoir coupling/artificial intelligence(AI)/classification and grading/lacustrine shale oil分类
能源科技引用本文复制引用
郭旭升,马晓潇,李鹏,赵培荣,张宇,申宝剑,李倩文,李沛,李雄,钱恪然,蔡生娟..中国陆相页岩油分类分级评价的现状、挑战与发展趋势[J].石油与天然气地质,2025,46(6):1745-1761,17.基金项目
国家自然科学基金项目(U24B6002) （U24B6002）
中国石化科技部项目(724029). （724029）
