强非均质性断陷湖盆优质烃源岩总有机碳预测及对成藏的控制作用——以东濮凹陷葛岗集地区为例

doi:10.3969/j.issn.1672-7703.2025.06.014

中国石油勘探 ›› 2025, Vol. 30 ›› Issue (6): 201-214.DOI: 10.3969/j.issn.1672-7703.2025.06.014

• 工程技术 • 上一篇

强非均质性断陷湖盆优质烃源岩总有机碳预测及对成藏的控制作用——以东濮凹陷葛岗集地区为例

高永涛¹,李路¹,郭栋¹,宋晓航¹,潘永帅^2,3,徐田武¹

1 中国石化中原油田分公司勘探开发研究院；2 东北石油大学陆相页岩油气成藏及高效开发教育部重点实验室；3 东北石油大学多资源协同陆相页岩油绿色开采全国重点实验室

出版日期:2025-11-14 发布日期:2025-11-14
通讯作者: 徐田武（1981-），男，山东临沂人，博士，2009年毕业于中国石油大学（北京），正高级工程师，主要从事石油地质研究工作。地址：河南省濮阳市中原东路360号勘探开发研究院，邮政编码：457001。
作者简介:高永涛（1983-），男，河南禹州人，硕士，2014年毕业于中国石油大学（北京），高级工程师，现主要从事石油地质综合研究及油气勘探方面的工作。地址：河南省濮阳市中原路277号中国石油化工股份有限公司中原油田分公司勘探开发研究院东濮勘探研究所，邮政编码：457001。
基金资助:
国家油气重大专项“渤海湾超级盆地油气富集规律与新领域勘探技术”（2024ZD1400100）。

Prediction of total organic carbon of high-quality source rocks and their control on hydrocarbon accumulation in strongly heterogeneous rift lake basin: a case study of Gegangji area, Dongpu Sag

Gao Yongtao¹,Li Lu¹,Guo Dong¹,Song Xiaohang¹,Pan Yongshuai^2,3,Xu Tianwu¹

1 Research Institute of Exploration and Development, Sinopec Zhongyuan Oilfield Company; 2 Key Laboratory of Continental Shale Oil and Gas Accumulation and Efficient Development, Ministry of Education, Northeast Petroleum University; 3 State Key Laboratory of Multi-resource Collaborated Green Development of Continental Shale Oil, Northeast Petroleum University

Online:2025-11-14 Published:2025-11-14

摘要/Abstract

摘要： 东濮凹陷葛岗集地区沙河街组优质烃源岩分布非均质性极强，传统测井方法难以精确识别和预测，严重制约了洼陷区油气勘探成效。据此，结合地球化学数据与测井响应特征，基于随机森林算法构建了高精度TOC预测模型，实现了强非均质地质条件下烃源岩总有机碳（TOC）的有效预测，揭示了薄层优质烃源岩的分布规律及其对油气成藏的控制作用。结果表明，研究区优质烃源岩以灰黑色页岩为主，有机质丰度高、类型好，但单层厚度薄、纵横向分布变化快、测井响应复杂，导致传统方法识别精度不足。随机森林算法通过融合多类测井参数，显著提升了对复杂岩性组合中有机质非均质分布的预测能力。预测结果显示，研究区优质烃源岩主要分布于沙河街组三段下亚段（Es₃^下）底部和沙河街组四段上亚段（Es₄^上）中上部，且在近洼—深洼区呈现自西向东、自南向北厚度逐渐增大的趋势。优质烃源岩的分布对油气成藏具有明显控制作用，表现出典型的“近源成藏”特征，高产油气层及油气显示层段均分布于优质烃源岩附近，且油气富集程度与优质烃源岩厚度密切相关。该研究成果为东濮凹陷洼陷带的油气勘探部署提供了重要的地质依据。

关键词: 优质烃源岩, 非均质性, 随机森林, 控藏作用, 沙河街组, 东濮凹陷

Abstract: In Gegangji area, Dongpu Sag, the distribution of high-quality source rocks in Shahejie Formation exhibits extremely strong heterogeneity, making it difficult for conventional logging methods to accurately identify and predict, which significantly hinders effective oil and gas exploration in the subsag area. By integrating geochemical data with logging response characteristics, and employing a random forest algorithm, a high-precision TOC prediction model has been developed, achieving effective prediction of total organic carbon (TOC) content of source rocks in the context of highly heterogeneous geological conditions, which reveals the distribution pattern of high-quality thin source rocks and their controlling effect on hydrocarbon accumulation. The study results indicate that the high-quality source rocks in the study area are mainly composed of gray black shale, with high organic matter abundance, and favorable kerogen types, but thin single-layer thickness, rapid vertical and lateral variations, and complex logging response, leading to insufficient identification accuracy of traditional methods. The random forest algorithm significantly improves the prediction capability for heterogeneous organic matter distribution in complex lithological associations by integrating multi-type logging parameters. The prediction results show that high-quality source rocks are mainly distributed at the base lower sub-member of the third member (Es₃^l) and the middle-upper part of the upper sub-member of the fourth member of Shahejie Formation (Es₄^u) in the study area. Moreover, their thickness gradually increases from west to east and from south to north in the near-subsag to deep-subsag areas. The distribution of high-quality source rocks had a clear control on hydrocarbon accumulation, demonstrating typical characteristics of “near-source rock hydrocarbon accumulation”. The high-yield oil and gas layers as well as hydrocarbon-bearing intervals are all located near high-quality source rocks, and the degree of hydrocarbon enrichment is closely related to source rock thickness. This research provides an important geological basis for oil and gas exploration planning in the subsag area in Dongpu Sag.

Key words: high-quality source rock, heterogeneity, random forest, controlling effect on hydrocarbon accumulation, Shahejie Formation, Dongpu Sag

中图分类号:

TE122

高永涛, 李路, 郭栋, 宋晓航, 潘永帅, 徐田武. 强非均质性断陷湖盆优质烃源岩总有机碳预测及对成藏的控制作用——以东濮凹陷葛岗集地区为例[J]. 中国石油勘探, 2025, 30(6): 201-214.

Gao Yongtao, Li Lu, Guo Dong, Song Xiaohang, Pan Yongshuai, Xu Tianwu. Prediction of total organic carbon of high-quality source rocks and their control on hydrocarbon accumulation in strongly heterogeneous rift lake basin: a case study of Gegangji area, Dongpu Sag[J]. China Petroleum Exploration, 2025, 30(6): 201-214.

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强非均质性断陷湖盆优质烃源岩总有机碳预测及对成藏的控制作用——以东濮凹陷葛岗集地区为例

Prediction of total organic carbon of high-quality source rocks and their control on hydrocarbon accumulation in strongly heterogeneous rift lake basin: a case study of Gegangji area, Dongpu Sag

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