油气资源储量分类体系对比及中国最新分类体系特点

doi:10.11743/ogg20220321

Abstract

Abstract:

A full understanding of China’s latest oil and gas reserves classification system and its differences with foreign classification systems serves to promote the reform of China’s resources/reserves management and provides the premise for international cooperation and exchange. The study focuses on introducing the latest framework of China’s oil and gas resource/reserve classification system in 2020 and the key points of revision， and expounding the characteristics of China’s system by comparing with the representative foreign classification systems， following the comprehensive illustration of China’s classification system evolution. China’s classification system has undergone five revisions， with the latest one simplifying the division of exploration and development stages， types of oil and gas reserves and economic significance. The representative classification systems in the world can be grouped into three levels： government， oil companies and international organizations. China and foreign countries have similarities in the overall structural framework and basic units， but they are different in the classification of resources and reserves and the definition of terms. The Chinese classification system taking oil and gas reservoirs and traps as basic units of gradation， and geological reserves as the basis of classification， has been designed along the line of “discovery， geological understanding， recoverability， and economic value. This meets the needs of Chinese government in management and development planning， as well as the complex geological conditions in reality. In view of the implementation of the new system， it is suggested that the data of relevant resources and reserves should be conversed and the evaluation system should be adjusted as soon as possible， and a cooperation and exchange mode that takes into account both domestic and international needs should be explored energetically.

Key words: reserves, resources, classification system, oil and gas resources, classification of reserves and resources

CLC Number:

TE155

Hongjin Hu, Wenli Jiang, Denghua Li, Kai Zhao, Xuan Gao, Jun Jia, Xin Zan. Comparison of oil and gas resources/reserves classification systems and characteristics of the latest classification system of China[J]. Oil & Gas Geology, 2022, 43(3): 724-732.

Figures/Tables 4

Fig.1

Table1

Fig.2

Table 2

References 29

1	全国国土资源标准化技术委员会. 油气矿产资源储量分类：［S］.北京：中国标准出版社，2020.
	National Land and Resources Standardization Technology Committee. Classifications for petroleum resources/reserves：［S］. Beijing： Standards Press of China， 2020.
2	全国国土资源标准化技术委员会. 石油天然气资源/储量分类：［S］.北京：中国标准出版社，2004.
	National Land and Resources Standardization Technology Committee. Classifications for petroleum resources/reserves：［S］. Beijing： Standards Press of China，2004.
3	全国矿产储量委员会. 石油储量规范：［S］. 北京：国家标准局，1988.
	National Commission of Mineral Reserves. Petroleum reserves stan⁃dards：［S］.Beijing： National Bureau of Standards，1988.
4	全国矿产储量委员会. 天然气储量规范：［S］. 北京：国家标准局，1988.
	National Commission of Mineral Reserves. Natural gas reserves standards：［S］.Beijing： National Bureau of Standards，1988.
5	Norwegian Petroleum Directorate. The Norwegian Petroleum Directorate’s resource classification system ［S］. 2016.
6	Norwegian Petroleum Directorate. The Norwegian Petroleum Directorate’s resource classification system ［S］. 2001.
7	Knudsen K R. The Norwegian Petroleum Directorate’s resource classification system［J］.Norwegian Petroleum Society Special Pub⁃lications， 1996， 6（7）：77-81.
8	罗富平. 俄联邦与SPE-PRMS最新储量-资源量标准对比研究［J］. 油气藏评价与开发， 2011，1（4）：4-8.
	Fu Luoping. Comparison and research of the latest reserve and resource standards between Russian Federation and SPE‑PRMS［J］. Reservoir Evaluation and Development， 2011，1（4）：4-8.
9	史崇周. 俄罗斯油气储量和资源的新分类［J］. 国土资源情报， 2004， 95（7）：47-50.
	Shi Chongzhou. New classification of oil and gas reserves and resources in Russia［J］. Land and Resources Information， 2004， 95（7）：47-50.
10	张建国，史建忠，王世艳. 2016版俄罗斯储量-资源量规范与石油工程师协会SPE-PRMS对比研究［J］. 中国石油和化工标准与质量， 2017，（13）：140-142.
	Zhang Jianguo， Shi Jianzhong， Wang Shiyan. Comparative study between 2016 Russian reserve resource specification and SPE⁃PRMS of the society of Petroleum Engineers［J］.China Petroleum and Chemical Standard and Quality， 2017，（13）：140-142.
11	SPE， WPC， AAPG， SPEE， SEG， SPWLA， EAGE. Petroleum resources management system ［S］.2018.
12	SPE， WPC， AAPG， SPEE. Petroleum resources management system ［S］.2007.
13	王永祥，段晓文，徐小林，等. SEC准则油气证实储量判别标准与评估方法［J］. 石油学报， 2016， 37（9）：1137-1144.
	Wang Yongxiang， Duan Xiaowen， Xu Xiaolin， et al. Determination criterion and the estimation methods for the proved reserves under the US.SEC regulation［J］. Acta Petrolei Sinica， 2016， 37（9）：1137-1144.
14	胡允栋，萧德铭，王永祥. 按SEC标准进行油气证实储量评估的基本原则［J］. 石油学报， 2004， 25（2）：19-24.
	Hu Yundong， Xiao Deming， Wang Yongxiang. Ten Principles for estimating proven reserves following SEC standards［J］. Acta Pe⁃trolei Sinica， 2004， 25（2）：19-24.
15	查全衡. 国内外油气资源分类沿革及启示［J］. 石油科技论坛，2020，39（4）：7-15.
	Zha Quanheng. Evolution and enlightenment of domestic and foreign oil and gas resources classification［J］. Petroleum Science and Technology Forum， 2020，39（4）：7-15.
16	查全衡. 代表性石油资源分类的比较研究［J］. 石油学报， 2008， 29（6）：809 -814.
	Zha Quanheng. Comparative study on the typical classification of petroleum resources［J］. Acta Petrolei Sinica， 2008， 29（6）： 809-814.
17	张伦友. 国内外油气储量的概念对比与剖析［J］. 天然气工业， 2005， 25（2）：186-189.
	Zhang Lunyou. Comparison and analysis of domestic and foreign oil/gas reserve concepts［J］. Natural Gas Industry， 2005， 25（2）：186-189.
18	李洪玺，张培军，代琤，等. 美国PRMS与SEC两种油气储量准则差异分析［J］. 西南石油大学学报（自然科学版）， 2016， 38（5）：75-80.
	Li Hongxi， Zhang Peijun， Dai Cheng， et al. Difference analysis of oil & gas reserve rule Between PRMS and SEC in U. S. ［J］. Journal of Southwest Petroleum University （Science & Technology Edition）， 2016， 38（5）：75-80.
19	王建宁. SPE石油资源管理系统和中国石油天然气资源/储量分类标准对比［J］. 中国矿业， 2013（S1）：206-209.
	Wang Jianning. The difference between SPE‑PRMS and Chinese petroleum resources/reserves classifications［J］. China Mining Ma⁃gazine，2013（S1）：206-209.
20	康永尚，刁顺，陈安霞，等. 中外油气资源分类体系对比和资源潜力概念探讨［J］. 地球科学与环境学报， 2013， 35（1）：66-73.
	Kang Yongshang， Diao Shun， Chen Anxia， et al. Comparison of domestic and foreign petroleum resource classification systems and discussion on resource potential concepts［J］. Journal of Earch Sciences and Environment，2013，35（1）：66-73.
21	宋振响，徐旭辉，王保华，等. 页岩气资源评价方法研究进展与发展方向［J］. 石油与天然气地质，2020，41（5）：1038-1047.
	Song Zhenxiang， Xu Xuhui， Wang Baohua， et al. Advances in shale gas resource assessment methods and their future evolvement［J］. Oil & Gas Geology，2020，41（5）：1038-1047.
22	李进步，李娅，张吉，等. 苏里格气田西南部致密砂岩气藏资源评价方法及评价参数的影响因素［J］. 石油与天然气地质，2020，41（4）：730-743，762.
	Li Jinbu， Li Ya， Zhang Ji， et al. Resource evaluation method and influence factors of its parameters for tight sand gas reservoir in southwestern Sulige gas field［J］. Oil & Gas Geology， 2020，41（4）：730-743，762.
23	周庆凡. 页岩油气资源评价基本问题的讨论［J］. 石油与天然气地质，2022，43（1）：26-33.
	Zhou Qingfan. Discussion on key issues of shale oil/gas resource assessment［J］. Oil & Gas Geology，2022，43（1）：26-33.
24	王升辉，姚星，张昊泽，等. 美国油气资源管理机制对中国的借鉴［J］. 中国矿业， 2016， 25（9）：30-33.
	Wang Shenghui， Yao Xing， Zhang Haoze， et al. The reference of the United States oil and gas resources management mechanism in China China［J］. Mining Magazine，2016，25（9）：30-33.
25	潘继平，王越，申延平，等. 挪威、巴西及英国油气资源管理体制及其对中国的启示［J］. 国土资源情报， 2009，100（4）：19-23.
	Pan Jiping， Wang Yue， Shen Yanping， et al. Oil and gas resource management system in Norway， Brazil and Britain and its enlightenment to China ［J］.Land and Resources Information， 2009，100（4）：19-23.
26	王永祥，张君峰，段晓文. 中国油气资源/储量分类与管理体系［J］. 石油学报， 2011， 32（4）：645-651.
	Wang Yongxiang， Zhang Junfeng， Duan Xiaowen. A classification and management system of petroleum resources/reserves in China［J］. Acta Petrolei Sinica，2011，32（4）：645-651.
27	陈治军，文志刚，刘护创，等. 二连盆地伊和乌苏凹陷烃源岩地球化学特征与生烃潜力［J］. 中国石油大学学报（自然科学版），2022，46（1）：34-43.
	Chen Zhijun， Wen Zhigang， Liu Huchuang， et al. Geochemical characteristics and hydrocarbon generation potential of source ro⁃cks in Yihewusu Sag， Erlian Basin［J］. Journal of China University of Petroleum（Edition of Natural Science）， 2022，46（1）：34-43.
28	吴国干，胡允栋，王永祥，等. 油气储量评估与油气藏圈闭成因的主控因素［J］. 石油学报，2008，29 （6）：804-808.
	Wu Guogan， Hu Yundong， Wang Yongxiang， et al. Main control factors for estimation of oil and gas reserves and genesis of traps in oil and gas reservoirs［J］. Acta Petrolei Sinica，2008，29（6）：804-808.
29	汪勇，杨少春，樊爱萍，等. 准噶尔盆地 PX 地区石炭系火山岩储层储量参数研究［J］. 中国石油大学学报（自然科学版），2017，41（3）：31-41.
	Wang Yong， Yang Shaochun， Fan Aiping， et al. Reserves parame⁃ters of Carboniferous volcanic rock reservoirs in PX Block， Jungger Basin［J］. Journal of China University of Petroleum （Edition of Natural Science）， 2017，41（3）：31-41.

分类体系	阶段	主要开展工作	提交资源储量类别	落实矿产资源
国标（2004）	区域普查	盆地远景评价勘探	远景资源量	“有没有”
	区域普查	盆地含油气评价勘探	推测资源量
	圈闭预探	区带评价勘探	圈闭资源量
	圈闭预探	圈闭预探	预测储量或控制储量
	油气藏评价	油气藏评价	探明储量	“有多少”
	产能建设	油气田开发至枯竭	储量复算、储量结算	“可采多少”
	油气生产	油气田开发至枯竭	储量复算、储量结算	“可采多少”
国标（2020）	预探	区带评价勘探	—	“有没有”
	预探	圈闭预探		“有没有”
	评价	油气藏评价		“有多少”
	开发	油气田开发至枯竭		“可采多少”

代表性分类体系	已发现的						未发现的
	可采					非可采	可采	非可采
	产量	储量			边际储量或资源量	非可采	可采	非可采
国标（2020）	产量	剩余经济可采（含探明、控制、预测）			经济不可采（含探明、控制、预测）	技术不可采（含探明、控制、预测）	资源量
PRMS（2018）	产量	P₁	P₂	P₃	C₁，C₂，C₃	不可采部分	U₁，U₂，U₃（远景资源量）	不可采部分
SEC（2010）	—	P₁	P₂	P₃	—	—	—
USGS（1995）	产量	证实储量	扩展储量			不可采部分	待发现资源量	不可采部分
NPD（2016）	产量	1，2，3			4，5，6，7	不可采部分	8，9 （待发现资源量）	不可采部分
俄罗斯（2016）	产量	A，B₁，B₂			C₁，C₂	不可采部分	D₀，D_Л，D₁，D₂（资源量）	不可采部分

[1]	Jin LAI, Tianyu BAI, Lu XIAO, Fei ZHAO, Dong LI, Hongbin LI, Guiwen WANG, Ronghu ZHANG. Well-logging evaluation of in-situ stress fields and its geological and engineering significances [J]. Oil & Gas Geology, 2023, 44(4): 1033-1043.
[2]	Mingshui Song, Yongshi Wang, Xuejun Wang, Xuefeng Hao, Youqiang Li, Dongxia Chen, Fuwei Wang, Qiaochu Wang, Xuebin Shi, Yi Zou. Research of “synthem units of exploration” in mature exploration area and its application in the Dongying Sag， Bohai Bay Basin [J]. Oil & Gas Geology, 2022, 43(3): 499-513.
[3]	Qingfan Zhou. Discussion on key issues of shale oil/gas resource assessment [J]. Oil & Gas Geology, 2022, 43(1): 26-33.
[4]	Chiyang Liu, Jianqiang Wang, Dongdong Zhang, Hongge Zhao, Junfeng Zhao, Lei Huang, Wenqing Wang, Yang Qin. Genesis of rich hydrocarbon resources and their occurrence and accumulation characteristics in the Ordos Basin [J]. Oil & Gas Geology, 2021, 42(5): 1011-1029.
[5]	Jun Li. Non-deterministic method for tight oil reserves upgrade potential assessment and its application [J]. Oil & Gas Geology, 2021, 42(3): 755-764.
[6]	Zhu Guiliang, Sun Jianfang, Liu Zhongchun. An approach to calculate developed reserves in gas drive fractured-vuggy reservoirs in Tahe oilfield [J]. Oil & Gas Geology, 2019, 40(2): 436-442,450.
[7]	Sheng Xiujie, Jin Zhijun, Xiao Ye. Petroleum resources assessment methodology in play exploration stages [J]. Oil & Gas Geology, 2017, 38(5): 983-992.
[8]	Zhang Qin, Mei Xiaohan, Xie Yinfu, Wang Quanxin, Li Chenxi, Yang Xiaofa, Du Huiyao, Lu Jiajing. Characteristics of different types of glauconite and their classification systems [J]. Oil & Gas Geology, 2016, 37(6): 952-963.
[9]	Luo Xiaomin. Application of SEC dynamic reserves evaluation method in extra-low permeability and tight gas reservoir:A case from Daniudi gasfield,Ordos Basin [J]. Oil & Gas Geology, 2016, 37(2): 276-279.
[10]	Liu Ziliang, Shen Fang, Zhu Xiaomin, Liao Jijia, Zhang Xiuqian, Meng Hao. Progress of shallow-water delta research and a case study of continental lake basin [J]. Oil & Gas Geology, 2015, 36(4): 596-604.
[11]	Liu Chaoying, Yan Xiangbin, Gao Shanlin, Min Bin. Play evaluation methods and their application in preliminary exploration [J]. Oil & Gas Geology, 2015, 36(2): 314-318,329.
[12]	Zhang Zhonghua, Zhou Jitao. Calculation of the minimum commercial reserves of petroleum reservoirs [J]. Oil & Gas Geology, 2015, 36(1): 148-153.
[13]	Huang Xuebin, Li Jun, Yan Xiangbin, Cai Lixue. Probability distribution of parameters for trap resources assessment and its validation [J]. Oil & Gas Geology, 2014, 35(4): 577-584.
[14]	Shi Jijian, Fu Guang, Lü Yanfang, Li Lili, An Zhenyue, Zhu Na'na. Comprehensive evaluation of regional seal in the middle of the first member of Shahejie Fm in the Qikou Sag [J]. Oil & Gas Geology, 2011, 32(5): 671-681.
[15]	. Reserve classification and evaluation of the Ordovician fracturedvuggy reservoirs in Tahe oilfield [J]. Oil & Gas Geology, 2011, 32(4): 625-630.

Comparison of oil and gas resources/reserves classification systems and characteristics of the latest classification system of China

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 4

References 29

Related Articles 15

Recommended Articles

Metrics