石油科技论坛 ›› 2023, Vol. 42 ›› Issue (6): 23-29.DOI: 10.3969/j.issn.1002-302x.2023.06.004

• 专家观点 • 上一篇    下一篇

我国新版油气资源分类探讨

仝志刚1 高玉飞1 郭继刚2 郝建荣1   

  1. 1.中海油研究总院;2.中海石油(中国)有限公司勘探开发部
  • 出版日期:2023-12-30 发布日期:2024-02-28
  • 作者简介:仝志刚,1969年生,2010年毕业于中国地质大学(北京)能源地质工程专业,博士,高级工程师,长期从事盆地模拟技术开发应用及油气资源评价研究工作。
  • 基金资助:
    自然资源部项目“‘十四五’全国油气资源评价——中海油矿业权区及周边空白区油气资源评价项目”(编号:QGYQZYPJ2022-3)。

Discuss China’s New Version of Oil and Gas Resources Classification

Tong Zhigang1, Gao Yufei1, Guo Jigang2, Hao Jianrong1   

  1. 1. CNOOC Research Institute, Beijing 100028, China; 2. Exploration and Development Department of CNOOC Limited, Beijing 100010, China
  • Online:2023-12-30 Published:2024-02-28

摘要: 业界以往采用2004年油气资源储量分类进行资源评价和资源数据发布。2020年新版油气资源储量分类标准修改了资源量和储量分类,取消了潜在资源量和推测资源量分类,并将未发现资源量以资源量替代,这给资源数据发布和标准使用带来困扰。通过对比分析新旧版资源分类标准、石油工程师协会和美国地质调查局资源管理体系,提出保留2004版资源分类框架,吸收石油工程师协会资源分类,完善我国油气资源储量分类的方案。建议采用容积法、基于目标规模和个数分布预测的蒙特卡洛抽样模拟进行评价,重点估算潜在地质资源量,并进一步评价资源经济可采性,估算未来一段时间有可能发现并升级为储量的资源量。

关键词: 油气资源分类;资源量;储量;潜在资源量;资源评价

Abstract: The Chinese petroleum industry adopted the 2004 version of oil and gas resources classification for evaluation of resources and release of data. The 2020 version of the classification standards revised the resources and reserves classification with cancellation of prospective resources and speculative resources. In addition, undiscovered resources is replaced with the resources, leading to some troubles for release of resource data and application of standards. Based on comparison of the new and old versions of resources classification standards as well as the SPE and USGS management systems of resources, this paper proposes to reserve the framework of resources classification in the 2004 version, take in the SPE resources classification and perfect the plan for China’s classification of oil and gas resources. It is also proposed to adopt the volumetric method and the Monte Carlo sampling simulation based on prospect scale and number distribution prediction for evaluation. The emphasis is placed on estimation of the prospective resources in place with efforts to make further evaluation on economic recoverability of resources, thus estimating possible additions to reserves within a certain timeframe.

Key words: oil and gas resources classification, resources, reserves, prospective resources, evaluation of resource

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