中国石油勘探 ›› 2025, Vol. 30 ›› Issue (3): 122-135.DOI: 10.3969/j.issn.1672-7703.2025.03.009

• 工程技术 • 上一篇    下一篇

基于全油气系统理论预测深层—超深层油气资源最大埋深

庞雄奇1,2,李才俊1,2,贾承造1,3,陈雨萱1,2,黎茂稳4,姜林5,肖惠译 1,2,姜福杰1,2,曹鹏1,2,6,陈冬霞1,2,徐帜1,2,林会喜4,胡涛1,2,郑定业4,王雷1,2   

  1. 1 中国石油大学(北京)油气资源与工程全国重点实验室;2 中国石油大学(北京)地球科学学院;3 中国石油天然气集团有限公司;4 中国石化石油勘探开发研究院;5 中国石油勘探开发研究院;6 中国石油杭州地质研究院
  • 出版日期:2025-05-15 发布日期:2025-05-15
  • 作者简介:庞雄奇(1961-),男,湖北崇阳人,博士,1991年毕业于中国地质大学(北京),中国石油大学(北京)教授,博士生导师,主要从事油气成藏机理和油气资源评价等方面的科研和教学工作。地址:北京市昌平区府学路18号中国石油大学(北京)地球科学学院,邮政编码:102249。
  • 基金资助:
    国家重点基础研究发展计划“973”项目(2006CB202300 和 2011CB2011);国家自然科学基金企业联合基金项目“深层碳酸盐岩油气成藏动力机制与潜在发育区预测方法”(19B6003-02-04);中国石油前瞻性基础研究项目“非常规油气自封闭与成藏机理研究”(2021DJ0101)。

Predicting the maximum depth of hydrocarbon resources in deep-ultradeep layers based on the theory of the Whole Petroleum System

Pang Xiongqi1,2,Li Caijun1,2,Jia Chengzao1,3,Chen Yuxuan1,2,Li Maowen4,Jiang Lin5,Xiao Huiyi1,2,Jiang Fujie1,2,Cao Peng1,2,6,Chen Dongxia1,2,Xu Zhi1,2,Lin Huixi4,Hu Tao1,2,Zheng Dingye4,Wang Lei1,2   

  1. 1 State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing); 2 College of Geosciences, China University of Petroleum (Beijing); 3 China National Petroleum Corporation; 4 Petroleum Exploration and Production Research Institute, SINOPEC; 5 PetroChina Research Institute of Exploration and Development; 6 PetroChina Hangzhou Institute of Geology
  • Online:2025-05-15 Published:2025-05-15

摘要: 深层—超深层由于其蕴藏的丰富油气资源成为了当前国内外油气勘探和研究的重点领域,揭示深层—超深层油气藏最大埋深对深层油气资源评价、超深钻井部署、勘探风险认识等具有重要的现实意义。本文基于全油气系统理论提出了一种预测深层—超深层油气藏最大埋深的方法和流程,该方法能够对含油气盆地内常规、致密和页岩油气藏的最大埋深进行定量预测。研究以已经发现的油气藏和钻井资料为例,分别对我国塔里木、准噶尔、四川、鄂尔多斯、松辽、渤海湾等含油气盆地油气藏最大埋深进行了预测。结果显示,中国六大含油气盆地常规油气藏、致密油气藏和页岩油气藏对应的最大埋深通常情况下分别介于800~4400m、5050~7990m和5400~9300m。油气藏的最大埋深随着大地热流减小、含有机母质类型变好、储层亲油性增强而增大,随着钻探技术和预测水平提升发现油气资源的领域将不断扩大。此外,构造变动也会改变实际地质条件下油气成藏的最大埋深,研究依据浅—中—深油气实际钻探结果,预测出塔里木盆地寒武系—奥陶系碳酸盐岩超深层油藏的最大埋深(9500±50)m,气藏最大埋深超(10500±100)m。

关键词: 自然资源, 化石能源, 全油气系统, 深层—超深层, 油气成藏底限, 油气勘探下限, 油气资源, 常规和非常规油气

Abstract: Deep-ultradeep layers have become a key focus of petroleum exploration and research both domestically and internationally due to their abundant hydrocarbon resources. Revealing the maximum depth of deep-ultradeep oil and gas reservoirs has important practical significance for evaluating deep hydrocarbon resources, deploying ultradeep drilling, and understanding exploration risks. In this paper, a method and process for predicting the maximum depth of deep-ultradeep oil and gas reservoirs based on the theoretical of the Whole Petroleum System (WPS) was proposed. This method can quantitatively predict the maximum depth of conventional, tight, and shale oil and gas reservoirs in petroliferous basins. This article uses discovered oil and gas reservoirs and drilling data as examples to predict the maximum depth of hydrocarbon reservoirs in petroliferous basins such as Tarim, Junggar, Sichuan, Ordos, Songliao, and Bohai Bay in China. The results show that the maximum depths of conventional, tight, and shale oil and gas reservoirs in China’s six major petroliferous basins are usually between 800-4400m, 5050-7990m, and 5400-9300m. The maximum depth of oil and gas reservoirs in petroliferous basins increases with the decrease of geothermal gradient, improvement of organic matter types, and the enhancement of reservoir oil affinity. With the improvement of drilling technology and prediction level, the field of discovering hydrocarbon resources will continue to expand. Additionally, tectonic movements can also change the maximum depth of hydrocarbon reservoirs under actual geological conditions. The maximum depth of ultradeep oil and gas reservoirs in Cambrian-Ordovician carbonate of Tarim Basin were predicted to be more than 9500±50m and 10500±100m according to the results of actual shallow-medium-deep oil and gas drilling.

Key words: Natural resources, Fossil energy, Whole Petroleum System, Deep-ultradeep layers, Hydrocarbon accumulation depth limit, Lower limit of hydrocarbon exploration, Oil and gas resources, Conventional and unconventional oil and gas

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