页岩油气资源评价基本问题的讨论

doi:10.11743/ogg20220102

Abstract

Abstract:

The potential of shale oil/gas resources has become the focus of social attention. In order to better understand the shale oil/gas resources potential， it is necessary to constantly improve the methodology and strengthen the work of shale oil/gas resources assessment. Shale oil/gas belongs to unconventional resources， the geological characteristics of which are obviously different from those of conventional oil/gas， and the assessment methods for conventional oil and gas resources are thereby not fully applicable. Developing resources assessment method suitable for shale oil/gas is a must. Shale oil and gas resources are usually large-size in place， though with quite low recovery factor. Therefore， the specific resources assessment is supposed to stress both resources in-place and recoverable resources. At present， there are two main basic methods for shale oil/gas resources assessment， namely resource in-place assessment based on shale oil/gas content per unit volume and technically recoverable resource assessment based on shale oil/gas EUR per well. The factors that affect shale oil/gas resources assessment mainly include geological understanding， technology progress and economic factors， with geological evaluation as the foundation and key.

Key words: resources in-place, technically recoverable resources, economically recoverable resources, geological evaluation, resource categorization, assessment methodology, resource assessment, shale oil/gas

CLC Number:

TE155

Qingfan Zhou. Discussion on key issues of shale oil/gas resource assessment[J]. Oil & Gas Geology, 2022, 43(1): 26-33.

Figures/Tables 8

Table 1

Fig.1

Fig.2

Fig.3

Table 2

Table 3

Table 4

Table 5

References 51

1	邹才能，潘松圻，荆振华，等. 页岩油气革命及影响［J］.石油学报，2020， 41（1）： 1-12．
	Zou Caineng， Pan Songqi， Jing Zhenhua，et al. Shale oil and gas revolution and its impact ［J］. Acta Petrolei Sinica， 2020， 41（1）： 1-12.
2	周庆凡，金之钧，杨国丰，等. 美国页岩油勘探开发现状与前景展望［J］.石油与天然气地质，2019，40（ 3）： 469-477．
	Zhou Qingfan， Jin Zhijun， Yang Guofeng，et al. Shale oil exploration and production in the US： Status and outlook［J］. Oil ＆ Gas Geology， 2019， 40（3）： 469-477.
3	U.S. Energy information administration （EIA）. World shale resource assessments［OL］.［2015-09-24］. .
4	Geological Survey （USGS） U.S.，U.S. Geological Survey assessments of continuous （unconventional） oil and gas resources， 2000 to 2011， national and global petroleum assessment［R/OL］.2015..
5	Dong Z， Holditch S A， McVay D A， et al. Global unconventional gas resource assessment［R/OL］.2012， SPE 148356. .
6	国土资源部油气资源战略研究中心.页岩油气油气资源动态评价［M］.北京：地质出版社，2015.
	Strategic Research Center of Oil and Gas Resources. Dynamic evaluation of shale oil and gas resources［M］. Beijing： Geological Publishing House，2015.
7	国土资源部油气资源战略研究中心. 致密油气资源动态评价［M］.北京：中国大地出版社，2015.
	Strategic Research Center of Oil and Gas Resources. Dynamic evaluation of tight oil and gas resources［M］.Beijing： China Land Press， 2015.
8	邱振，邹才能，李建忠等，非常规油气资源评价进展与未来展望［J］.天然气地球科学，2013， 24（2）：238-245.
	Qiu Zhen， Zou Caineng， Li Jianzhong，et al. Unconventional petroleum resources assessment： Progress and future prospects［J］．Natural Gas Geoscience，2013，24（2）：238-245.
9	王社教，蔚远江，郭秋麟，等.致密油资源评价新进展［J］.石油学报，2014，35（6）：1095-1105.
	Wang Shejiao， Yu Yuanjiang， Guo Qiulin，et al. New advance in resources evaluation of tight oil［J］.Acta Petrolei Sinica， 2014，35（6）：1095-1105.
10	王世谦，页岩气资源开采现状、问题与前景［J］.天然气工业，2017， 37（6）：115-130.
	Wang Shiqian. Shale gas exploitation： Status， issues and prospects［J］Natural Gas Industry， 2017， 37（6）：115-130.
11	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 devolvement［J］.Oil ＆ Gas Geology， 2020，41（5）： 1038-1047.
12	金之钧，白振瑞，高波，等. 中国迎来页岩油气革命了吗？［J］.石油与天然气地质，2019，40（3）： 451-458．
	Jin Zhijun， Bai Zhenrui， Gao Bo， et al. Has China ushered in the shale oil and gas revolution？［J］ Oil ＆ Gas Geology， 2019，40（3）： 451-458.
13	周庆凡，杨国丰. 致密油与页岩油的概念与应用［J］.石油与天然气地质，2012，33（4）： 541-570．
	Zhou Qingfan， Yang Guofeng. Definition and application of tight oil and shale oil terms［J］. Oil ＆ Gas Geology， 2012，33（4）： 541-570.
14	姜福杰，庞雄奇，姜振学，等. 应用油藏规模序列法预测东营凹陷剩余资源量［J］.西南石油大学学报（自然科学版），2008，30（1）：54-63.
	Jiang Fujie， Pang Xiongqi， Jiang Zhenxue， et al. The principle and the application of predicting hydrocarbon resource by reservoir size sequence［J］. Journal of Southwest Petroleum University （Science & Technology Edition）， 2008， 30（1）： 54-63.
15	James W S， Timothy R K. U.S. Geological Survey assessment model for undiscovered conventional oil， gas and NGL resources； the seventh approximation［R/OL］.Bulletin 2165，U.S. Geological Survey， 1999. .
16	James W S， Timothy R K. U.S. Geological Survey assessment concepts for conventional petroleum accumulations［R/OL］.U.S. Geological Survey Digital Data Series DDS⁃69 ⁃D，2005. .
17	Liu Chenglin， Che Changbo， Zhu Jie， et al. Comparison of petroleum resource assessments of China by the U.S. Geological Survey and the China National Petroleum Assessment Team［J］.AAPG Bulletin， 2012， 96（8）：1415-1427.
18	James W S. U.S. Geological Survey Assessment concepts for continuous petroleum accumulations［R/OL］. U.S. Geological Survey Digital Data Series DDS⁃69⁃D， 2005， .
19	Ahmed U， Meehan D N. Unconventional oil and gas resources： exploitation and development［M］.Boca Raton：RC Press，Taylor & Francis Group，2016.
20	Larue D K， Smithard M， Mercer M. Three deep resource plays in the San Joaquin Valley compared with the Bakken Formation［J］.AAPG Bulletin， 2018， 102（2）：195-243.
21	邹才能，陶士振，袁选俊，等. “连续型”油气藏及其在全球的重要性：成藏、分布与评价［J］.石油勘探与开发，2009， 36（6）：669-681.
	Zou Caineng， Tao Shizhen， Yuan Xuanjunet al. Global importance of “continuous” petroleum reservoirs： Accumulation， distribution and evaluation［J］.Petroleum Exploration and Development， 2009， 36（6）：669-681.
22	邹才能，赵群，董大忠，等. 页岩气基本特征、主要挑战与未来前景［J］.天然气地球科学，2017， 28（12）：1781-1796.
	Zou Caineng， Zhao Qun， Dong Dazhong，et al. Geological characteristics， main challenges and future prospect of shale gas［J］．Natural Gas Geoscience，2017，28（12）：1781-1796.
23	杨智，邹才能，付金华，等．大面积连续分布是页岩层系油气的标志特征——以鄂尔多斯盆地为例［J］. 地球科学与环境学报，2019，41（4）：459-474．
	Yang Zhi， Zou Caineng， Fu Jinhua， et al. Characteristics and“sweet area（section）”evaluation of continuous tight ＆shale oiland gas in Ordos Basin，North-central China［J］. Journal of Earth Sciences and Environment，2019，41（4）：459-474．
24	Society of Petroleum Engineers （SPE），American Association of Petroleum Geologists，World Petroleum Council，and Society of Petroleum Evaluation Engineers，Petroleum Resources Management System［R/OL］. 2018. .
25	U.S. Energy information administration （EIA）， Technically Recoverable Shale Oil and Shale Gas Resources：United Arab Emirates［R/OL］.2014. .
26	Al-Madani H S， Holditch S A.A methodology to determine both the technically recoverable resource and the economically recove⁃rable resource in an unconventional gas play［R/OL］.2011， SPE141368 ⁃MS. .
27	Emil D A. Economics and the 1995 national assessment of united states oil and gas resources，U.S. Geological Survey Circular［R/OL］.1998..
28	Emil D A， Freeman P A.， Economic analysis of the 2010 U.S. Geological Survey assessment of undiscovered oil and gas in the national petroleum reserve in Alaska ［R/OL］. Open⁃File Report 2011-1103，2011. .
29	Cheng K， Holditch S A， Ayers W B， et al. Assessment of the distribution of technically⁃recoverable resources in North American basins［R/OL］.2010， SPE 137599. .
30	Energy information administration（EIA） U.S.. Shale gas and shale oil resource assessment methodology， EIA/ARI world shale gas and shale oil resource assessment［R/OL］.2013. .
31	周庆凡，张亚雄. 油气资源量含义和评价思路的探讨［J］. 石油与天然气地质， 2011， 32（3）：474-480.
	Zhou Qingfan， Zhang Yaxiong， A discussion on petroleum resource concepts and assessment approaches［J］， Oil ＆ Gas Geo⁃logy， 2011， 32（3）：474-480.
32	傅成玉. 非常规油气资源勘探开发［M］.北京：中国石化出版社，2015： 1-37.
	Fu chengyu. Exploration and development for unconventional hydrocarbons［M］.Beijing： China Petrochemical Press， 2015： 1-37.
33	陈斐然，段金宝，张汉荣，等，页岩气“压力系数”分级资源评价方法——以川东南上奥陶统五峰组-下志留统龙马溪组为例［J］.石油实验地质，2020，42（3）： 405-414.
	Chen Feiran， Duan Jinbao， Zhang Hanrong， et al. Shale gas resource evaluation based on pressure coefficient： A case study of Upper Ordovician Wufeng⁃Lower Silurian Longmaxi formations in southeastern Sichuan Basin［J］. Petroleum Geology ＆ Experiment， 2020，42（3）， 405-414.
34	U.S. Energy information administration （EIA）， World Shale Gas Resources： An initial assessment of 14 regions outside the United States［R/OL］.2011. .
35	U.S. Energy information administration （EIA）， Technically recoverable shale oil and shale gas resources： An assessment of 137 shale formations in 41 countries outside the United States［R/OL］. 2013..
36	张金川，林腊梅，李玉喜，等. 页岩气资源评价方法与技术：概率体积法［J］．地学前缘， 2012， 19（2）：184-191.
	Zhang Jinchuan， Lin Lamei， Li Yuxi， et al ．The method of shale gas assessment：Probability volume method［J］. Earth Science Frontiers，2012，19（2）：184－191.
37	郭秋麟，李峰，陈宁生，等. 致密油资源评价方法、软件及关键技术［J］．天然气地球科学，2016， 27（9）：1566-1575.
	Guo Qiulin， Li Feng， Chen Ningsheng，et al. Methodology，new software system andkey technology for tight oil resources assessment［J］．Natural Gas Geoscience，2016，27（9）：1566-1575.
38	王社教，李峰，郭秋麟，等. 致密油资源评价方法及关键参数研究［J］. 天然气地球科学，2016， 27（9）：1576-1582.
	Wang Shejiao， Li Feng， Guo Qiulin，et al. Tight oil resource assessment methods andkey parameters［J］. Natural Gas Geos⁃cience，2016，27（9）：1576-1582.
39	James W S. Resource⁃assessment perspectives for unconventional gas systems ［J］.AAPG Bulletin， 2002， 86（11）： 1993-1999.
40	Charpentier R R， Cook T A， Improved USGS methodology for assessing continuous petroleum resources ［R/OL］. 2012. .
41	Crovelli R A， Charpentier R R. Analytic resource assessment method for continuous （unconventional） oil and gas accumulations—The “ACCESS” method［R/OL］. Reston， Virginia： 2012. .
42	Klett T R， Charpentier R R. FORSPAN model users guide［R/OL］. 2003. .
43	Cook T A. Procedure for calculating estimated ultimate recoveries of Bakken and three forks formations horizontal wells in the Williston Basin［R/OL］.Reston， Virginia： 2013. .
44	Geological Survey（USGS） U.S.. 2011 assessment of potential unconventional carboniferous⁃permian gas resources of the Liaohe Basin Eastern Uplift， Liaoning Province， China［R/OL］. 2012. .
45	Geological Survey（USGS） U.S..2015 assessment of Paleozoic shale gas resources in the Sichuan Basin of China［R/OL］.2015. .
46	Geological Survey（USGS） U.S.. 2015 assessment of undiscovered continuous gas resources of the Ordos Basin Province， China［R/OL］.2016. .
47	Geological Survey（USGS） U.S.. 2018 assessment of Paleozoic shale⁃oil and shale⁃gas resources in the Tarim Basin of China［R/OL］.2019. .
48	Olea R A， Cook T A， Coleman J L. A methodology for the assessment of unconventional （continuous） resources with an application to the greater natural buttes gas field， Utah ［J］. Natural Resources Research，2010，19（4）：237-251.
49	郭秋麟，陈宁生，吴晓智，等. 致密油资源评价方法研究［J］.中国油气勘探，2013，18（2）： 67-76.
	Guo Qiulin， Chen Ningsheng， Wu Xiaozhiet al. Method for assessment of tight oil resources ［J］. China Petroleum Exploration， 2013，18（2）： 67-76.
50	苟红光，赵莉莉，梁桂宾，等.EUR分级类比法在致密油资源评价中的应用——以三塘湖盆地芦草沟组为例［J］.岩性油气藏，2016， 28（3）：27-33.
	Gou Hongguang， Zhao Lili， Liang Guibinet al. Application of EUR distribution analogous method to tight oil assessment： A case study from Lucaogou Formation in Santanghu Basin ［J］.Lithologic Reservoirs，2016， 28（3）：27-33.
51	Stueck H， Houseknecht D， Franke D， et al. Shale⁃gas assessment： Comparison of gas⁃in⁃place versus performance⁃based approaches［J］.Natural Resources Research，2016， 25： 315-329.

油气藏类型	常规油气藏	页岩油气藏
分布特征	不连续、独立分布	大面积、连续型分布
与水浮力关系	油气赋存与水的浮力直接相关	油气赋存不直接受水浮力的影响
储层特点	渗透率较高，与源岩不同层	渗透率低，与源岩同层或邻近源岩
赋存状态	游离态、溶解态	游离态、吸附态、溶解态
资源特点	资源量总体规模较小，开采相对容易，采收率较高	资源量总体规模较大，开采难度大，采收率低

盆地	地层组/区带	地质年代	页岩油/致密油采收率/%
威利斯顿	Bakken ND Core	密西西比纪—泥盆纪	8.40
	Bakken ND Ext.	密西西比纪—泥盆纪	7.70
	Bakken MT	密西西比纪—泥盆纪	3.90
	Three Forks ND	泥盆纪	8.20
	Three Forks MT	泥盆纪	3.60
马弗里克	Eagle Ford Play #3A	晚白垩世	8.10
	Eagle Ford Play #3B	晚白垩世	9.00
	Eagle Ford Play #4A	晚白垩世	4.20
	Eagle Ford Play #4B	晚白垩世	5.80
沃斯堡	Barnett Combo?Core	晚白垩世	1.50
沃斯堡	Barnett Combo?Ext.	密西西比纪	1.80
二叠	Del.Avalon/BS （NM）	二叠纪	1.90
	Del.Avalon/BS （TX）	二叠纪	2.10
	Del.Wolfcamp （TX Core）	二叠纪—宾西法尼亚纪	3.40
	Del.Wolfcamp （TX Ext.）	二叠纪—宾西法尼亚纪	1.30
	Del.Wolfcamp （NM Ext.）	二叠纪—宾西法尼亚纪	2.40
	Midl.Wolfcamp Core	二叠纪—宾西法尼亚纪	1.90
	Midl.Wolfcamp Ext.	二叠纪—宾西法尼亚纪	1.60
	Midl.Cline Shale	宾西法尼亚纪	2.80
阿纳达科	CanaWoodford?Oil	晚泥盆世	8.40
	Miss.Lime?Central OK Core	密西西比纪	3.10
	Miss.Lime?Eastern OK Ext.	密西西比纪	0.60
	Miss.Lime?KS Ext.	密西西比纪	1.30
阿巴拉契亚	Utica Shale?Oil	奥陶纪	2.10
D-J	Niobrara Core	晚白垩世	2.10
	Niobrara East Ext.	晚白垩世	1.20
	Niobrara North Ext.#1	晚白垩世	4.60
	Niobrara North Ext.#2	晚白垩世	0.90
	Niobrara North Ext.#2	晚白垩世	0.90

评价方法	优点	缺点
基于页岩油气层含油气量的地质资源量评价方法	适用范围广，也适用勘探开发不成熟的新区；地质资料和科技进步因素易于反映到评价中	不能直接计算可采资源量；因需通过采收率转换，增加了可采资源评价结果的不确定性
基于单井页岩油气EUR的技术可采资源量评价方法	直接计算可采资源量，避免因估算可采系数不确定性的影响；评价结果更符合生产实际	通常需要大量生产数据；没有考虑未来技术进步因素的影响；不能直接用于勘探开发程度低的新区

时间	机构	方法	评价层系	技术可采资源量/ （10¹²ft³）
2011	EIA/ARI	体积法	下寒武统筇竹寺组、	692.0
2011	EIA/ARI	体积法	下志留统龙马溪组	692.0
2013	EIA/ARI	体积法	下寒武统筇竹寺组、	625.9
			下志留统龙马溪组、
			二叠系
2015	USGS	FORSPAN法	下寒武统筇竹寺组、	23.9
			下志留统龙马溪组、
			二叠系龙潭组
2012	国土资源部	体积法	寒武系、志留系、二叠系、三叠系、侏罗系	227.4
2015	国土资源部	体积法	寒武系、志留系、二叠系、三叠系、侏罗系	398.3

页岩区带	FORSPAN				体积法
	技术可采资源量				地质资源量				技术可采资源量
	F95	F50	F5	均值	P95	P50	P5	均值	P95	P50	P5	均值
Woodford	6.06	10.16	17.04	10.68	347.0	148.0	49.5	171.3	34.70	14.80	4.95	17.13
Shublik	0	36.60	72.20	38.40	1186.0	293.0	56.5	413.0	118.60	29.30	5.65	41.30
Brookian	0	2.12	4.37	2.18	117.0	36.0	36.0	43.0	11.70	3.60	3.60	4.30

Discussion on key issues of shale oil/gas resource assessment

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 51

Related Articles 10

Recommended Articles

Metrics

[1]	Xiaoning Liu, Zaixing Jiang, Xiaodong Yuan, Chen Chen, Cheng Wang. Influence of the Cretaceous fine-grained volcanic materials on shale oil/gas， Luanping Basin [J]. Oil & Gas Geology, 2022, 43(2): 390-406.
[2]	Zhenxiang Song, Xuhui Xu, Baohua Wang, Linjie Zhao, Guoqiao Yang, Qi Qiu. Advances in shale gas resource assessment methods and their future evolvement [J]. Oil & Gas Geology, 2020, 41(5): 1038-1047.
[3]	Chen Zhuoheng, Li Maowen, Jiang Chunqing, Qian Menhui. Shale oil resource potential and its mobility assessment: A case study of Upper Devonian Duvernay shale in Western Canada Sedimentary Basin [J]. Oil & Gas Geology, 2019, 40(3): 459-468.
[4]	Jiang Qigui, Li Maowen, Qian Menhui, Bao Yunjie, Liu Peng, Tao Guoliang, Ma Xiaoxiao, Li Zhiming, Cao Tingting, Wu Shiqiang. Experimental procedures of well-site geological evaluation for shale oil and related technological progress [J]. Oil & Gas Geology, 2019, 40(3): 571-582.
[5]	Zhang Xinshun, Wang Hongjun, Ma Feng, Bian Congsheng, Wang Zhaoming. Method to assess recoverable tight oil based on multiple regression analysis [J]. Oil & Gas Geology, 2018, 39(6): 1323-1335.
[6]	Li Jinbu, Lu Shuangfang, Chen Guohui, Shan Junfeng, Hu Yingjie, Mao Junli, Xue Haitao, Wang Min. Correction of light and heavy hydrocarbon loss for residual hydrocarbon S₁ and its significance to assessing resource potential of E₂s⁴⁽²⁾ member in Damintun Sag, Bohai Bay Basin [J]. Oil & Gas Geology, 2016, 37(4): 538-545.
[7]	Fan Yumei, Zhang Jilong, Gao Xian, Li Guangchao, Song Lina. Potential reserve growth assessment of known oilfields: A case study from Zagros Basin [J]. Oil & Gas Geology, 2016, 37(3): 394-398.
[8]	Sheng Xiujie, Jing Zhijun, Yan Qi, Xiao Ye, Xie Guojun, Xu Jingxin. Statistical method series for the resource assessment of petroleum accumulation system [J]. Oil & Gas Geology, 2013, 34(6): 827-833,854.
[9]	. A discussion on petroleum resource concepts and assessment approaches [J]. Oil & Gas Geology, 2011, 32(3): 474-480.
[10]	Zhang Jiliang. SIMULATING METHOD OF PARETO TRUNCATED DISTRIBUTION: A New Approach to Predicting the Number,Size and Distribution of Gasfields [J]. Oil & Gas Geology, 2001, 22(2): 190-193.