Assessment of oil-gas resources based on genetic method: whole petroleum system theory and new generation basin modeling technology

doi:10.7623/syxb202309001

Acta Petrolei Sinica ›› 2023, Vol. 44 ›› Issue (9): 1399-1416.DOI: 10.7623/syxb202309001

• WHOLE PETROLEUM SYSTEM COLUMN • Next Articles

Assessment of oil-gas resources based on genetic method: whole petroleum system theory and new generation basin modeling technology

Jia Chengzao^1,2, Pang Xiongqi^1,3, Guo Qiulin⁴, Chen Zhangxing^1,5, Wang Feiyu^1,3, Liu Guoyong⁶, GaoYongjin⁷, Shi Kanyuan^1,3, Jiang Fujie^1,3, Jiang Lin⁴

1. National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum(Beijing), Beijing 102249, China;
2. China National Petroleum Corporation Limited, Beijing 100724, China;
3. College of Geoscience, China University of Petroleum, Beijing 102249, China;
4. PetroChina Research Institute of Exploration and Development, Beijing 100083, China;
5. Department of Chemical and Petroleum Engineering, University of Calgary, Calgary T2N1N4, Canada;
6. PetroChina Xinjiang Oilfield Company, Xinjiang Karamay 834000, China;
7. Oil and Gas Survey Center, China Geological Survey, Beijing 100083, China

Received:2023-06-05 Revised:2023-07-14 Online:2023-09-25 Published:2023-10-09

基于成因法评价油气资源:全油气系统理论和新一代盆地模拟技术

贾承造^1,2, 庞雄奇^1,3, 郭秋麟⁴, 陈掌星^1,5, 王飞宇^1,3, 刘国勇⁶, 高永进⁷, 施砍园^1,3, 姜福杰^1,3, 姜林⁴

1. 油气资源与工程全国重点实验室, 中国石油大学(北京) 北京 102249;
2. 中国石油天然气集团有限公司北京 100724;
3. 中国石油大学(北京)地球科学学院北京 102249;
4. 中国石油勘探开发研究院北京 100083;
5. 卡尔加里大学化学与石油工程系加拿大卡尔加里 T2N1N4;
6. 中国石油新疆油田公司新疆克拉玛依 834000;
7. 中国地质调查局油气资源调查中心北京 100083

通讯作者: 贾承造,男,1948年3月生,1987年获南京大学博士学位,现为中国科学院院士,中国石油学会会士,《石油学报》编委会主任,《Petroleum Research》主编,长期从事构造地质学、石油地质学研究和油气勘探工作。Email:jiacz@petrochina.com.cn
作者简介:贾承造,男,1948年3月生,1987年获南京大学博士学位,现为中国科学院院士,中国石油学会会士,《石油学报》编委会主任,《Petroleum Research》主编,长期从事构造地质学、石油地质学研究和油气勘探工作。Email:jiacz@petrochina.com.cn
基金资助:
中国石油科学研究与技术开发项目"油气地质基础新理论新技术研究"项目01课题"全油气系统理论与非常规油气成藏机理"(2021DJ0101)资助。

Abstract

Abstract: The genetic method with basin modeling as the core has been widely used in hydrocarbon exploration and production. China’s basin modeling theory and research are in the front ranks of countries of the world, but the application software development lags far behind other countries. According to statistics, 75 % of the 39 pieces of basin modeling software or algorithms available in China are developed by foreign companies, and 100 % of the popular software on the international market are developed by overseas companies. At present, the main challenge faced by basin modeling research is that the classical petroleum system theory widely applied in the past cannot effectively evaluate unconventional oil-gas resources. In this study, whole petroleum system theory is adopted to address the current challenges. Firstly, the basic characteristics, genetic mechanism and distribution regularities for the joint coexistence of conventional and unconventional oil-gas resources are elaborated based on the whole petroleum system theory, providing theoretical and methodological guidance for the prediction and assessment of conventional and unconventional oil-gas resources. Secondly, key technologies for predicting and assessing conventional, tight and shale oil-gas resources have been developed by establishing a combined genetic model for conventional and unconventional oil-gas reservoirs and a material balance relationship between total hydrocarbon generation and hydrocarbon resources. Thirdly, this paper establishes five sets of material balance equations between the total hydrocarbon production and the evolution and productivity of the whole petroleum system, analyzes the key geological parameters such as primitive hydrocarbon production ratio, migration-accumulation coefficient, movable hydrocarbon ratio and oil recovery, and proposes 12 key technologies of three categories for basin modeling. The new generation basin modeling system based on the whole petroleum system theory and modern information technology is expected to achieve quantitative, automated and intelligent assessment of oil-gas resources, increase the total amount of resources as the study objects by 5 to 8 times, deepen the research of predicted and assessed resources by more than 3 times, significantly improve the reliability of the predicted and assessed results, and solve the existing bottleneck problem.

Key words: whole petroleum system, basin modeling, genetic method, assessment of oil-gas resources, oil-gas dynamic field

摘要： 以盆地模拟为核心内容的成因法在勘探生产中得到广泛应用。中国的盆地模拟理论研究走在世界前列,但应用软件研发落后于世界其他国家。中国市场上的39种盆地模拟应用软件或算法中有75 % 来自国外公司,而国际市场上流行的盆地模拟软件,100 % 出自国外公司。盆地模拟研究目前面临的主要挑战是早前普遍应用的经典油气系统理论不能有效适用于非常规油气资源评价。采用全油气系统理论可以应对当前挑战:首先,基于全油气理论阐述了常规和非常规油气资源联合共存的基本特征、成因机制和分布规律,为常规和非常规油气资源预测评价提供了理论和方法指导;其次,通过建立常规和非常规油气藏的联合成因模式,确立了生烃总量与油气资源量之间的物质平衡关系,研发了常规油气、致密油气和页岩油气3类资源的预测评价关键技术;然后,建立了全油气系统生烃总量等与其演化产物之间的5组物质平衡方程,分析了原始烃量比率、运聚系数、可动烃比率、采收率等关键地质参数,提出了研发3类12项盆地模拟关键技术。基于全油气系统理论和现代信息技术来构建新一代盆地模拟系统,有望实现油气资源评价定量化、自动化和智能化,使油气资源总量提高5~8倍,预测评价资源的深度增大3倍以上,预测评价资源结果的可靠性大幅提升,并解决目前面临的卡脖子难题。

关键词: 全油气系统, 盆地模拟, 成因法, 油气资源评价, 油气动力场

CLC Number:

TE122.3

Jia Chengzao, Pang Xiongqi, Guo Qiulin, Chen Zhangxing, Wang Feiyu, Liu Guoyong, GaoYongjin, Shi Kanyuan, Jiang Fujie, Jiang Lin. Assessment of oil-gas resources based on genetic method: whole petroleum system theory and new generation basin modeling technology[J]. Acta Petrolei Sinica, 2023, 44(9): 1399-1416.

贾承造, 庞雄奇, 郭秋麟, 陈掌星, 王飞宇, 刘国勇, 高永进, 施砍园, 姜福杰, 姜林. 基于成因法评价油气资源:全油气系统理论和新一代盆地模拟技术[J]. 石油学报, 2023, 44(9): 1399-1416.

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Assessment of oil-gas resources based on genetic method: whole petroleum system theory and new generation basin modeling technology

基于成因法评价油气资源:全油气系统理论和新一代盆地模拟技术

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