岩性油气藏 ›› 2026, Vol. 38 ›› Issue (2): 1–11.doi: 10.12108/yxyqc.20260201

• 地质勘探 • 上一篇    下一篇

北美Appalachian盆地泥盆系油页岩资源评价新方法

马峰1(), 胡菲2(), 薛罗1, 陈瑞银3, 刘招君2, 雷明1, 郑茜1   

  1. 1 中国石油勘探开发研究院 西北分院， 兰州 730020
    2 吉林大学 地球科学学院， 长春 130061
    3 中国石油勘探开发研究院， 北京 100083
  • 收稿日期:2025-07-04 修回日期:2025-08-21 出版日期:2026-03-01 发布日期:2025-10-31
  • 第一作者:马峰(1981—),男,硕士,教授级高级工程师,主要从事油气成藏方面的研究工作。地址：（730020）甘肃省兰州市城关区雁儿湾路535号。Email:mafeng@petrochina.com.cn。
  • 通信作者: 胡菲(1986—),男,博士,副教授,主要从事石油地质学、非常规能源地质学科研与教学方面的研究工作。Email:hufei@jlu.edu.cn。
  • 基金资助:
    中国石油天然气股份有限公司科技项目“海外油气地质新理论资源评价新技术与超前选区研究”(2023ZZ07)

New method for resource evaluation of Devonian oil shale in Appalachian Basin, North America

MA Feng1(), HU Fei2(), XUE Luo1, CHEN Ruiyin3, LIU Zhaojun2, LEI Ming1, ZHENG Xi1   

  1. 1 Research Institute of Petroleum Exploration & Development-Northwest （NWGI）， PetroChina， Lanzhou 730020， China
    2 College of Earth Sciences， Jilin University， Changchun 130061， China
    3 Research Institute of Petroleum Exploration & Development， Beijing 100083， China
  • Received:2025-07-04 Revised:2025-08-21 Online:2026-03-01 Published:2025-10-31

RichHTML

2

PDF (PC)

20

摘要：

针对中—低勘探程度盆地的油页岩资源评价，传统的体积法与类比法存在局限性，利用间接参数体积法更适用于北美Appalachian盆地的资源评价。基于泥页岩总有机碳（TOC）含量与含油率的良好正相关性，确定油页岩阈值及含油率区间，并计算校正系数，再进一步应用校正系数获得油页岩厚度、面积及热解烃量（S2），进而估算油页岩的资源量。研究结果表明：①北美Appalachian盆地的油页岩资源主要分布在西部Ohio地区，Ohio地区主力层位为上泥盆统Ohio油页岩段，自下而上可细分为Huron、Chagrin和Cleveland等3个亚段。总体上岩性以深灰色—黑色页岩为主，夹薄层粉砂岩。②研究区Ohio泥页岩TOC为1%~12%，含油率为0.33%~9.31%，油页岩含油率为3.50%~9.31%，S2为35.2~95.7 mg/g，校正系数为0.647。③泥页岩厚度乘以校正系数可获得研究区油页岩厚度为10~80 m。将TOC等值线转换为含油率等值线，以含油率3.50%圈定为油页岩面积（4.612×104 km2）。④应用间接参数体积法计算出研究区地面干馏和原位转化油页岩的油资源量分别为202×108 t和173×108 t，相应可采资源量分别为86×108 t和39×108 t。

关键词: 油页岩, 资源评价, 校正系数, 可采资源量, 间接参数体积法, 泥盆系, Ohio地区, Appalachian盆地

Abstract:

For the evaluation of oil shale resources in basins with medium-low exploration levels, traditional volumetric methods and geological parameter analogy methods have limitations. An indirect parameter volumetric method is more suitable for resource evaluation of Appalachian Basin in North America. Based on the good positive correlation between total organic carbon content (TOC) of shale and its oil content, the threshold value and oil content range of oil shale were determined, and the correction coefficient was calculated. The correction coefficient was further applied to obtain the thickness, area, and pyrolysis hydrocarbon quantity (S2) of oil shale, thereby the oil resource of oil shale was estimated. The results show that: （1） Oil shale resources in Appalachian Basin of North America are primarily distributed in the western Ohio area. The main formation of Ohio area is the Upper Devonian Ohio shale, which can be further divided into three submembers from bottom to top: Huron, Chagrin, and Cleveland. The lithology is predominantly deep gray to black shale, with thin interbeds of siltstone.（2） TOC of Ohio shale in the study area is 1%-12%, with oil content ranging from 0.33% to 9.31%. The oil content of oil shale ranges from 3.50% to 9.31%, S2 is 35.2-95.7 mg/g and correction coefficient is 0.647. （3） Multiplying the mud shale thickness by the correction coefficient obtain the oil shale thickness of 10-80 m in the study area. Convert TOC contour lines into oil content contour lines, and the area delineated by an oil content of 3.50% is the oil shale area, which is 46,120 km2. （4） Using the indirect parameter volumetric method, the estimated oil resource of surface dry distillation and in-situ transformation oil shale in the study area are 202×108 t and 173×108 t, respectively, with corresponding recoverable resources of 86×108 t and 39×108 t, respectively.

Key words: oil shale, resource evaluation, correction coefficient, recoverable resource, indirect parameter volumetric method, Devonian, Ohio area, Appalachian Basin

中图分类号: 

  • TE122.115

图1

北美Appalachian盆地区域位置（a）及Ohio地区泥盆系岩性地层综合柱状图（b）（据文献[17]和[18]修改）"

图2

Appalachian盆地Ohio州东部到Pennsylvania州西部中上泥盆统地层剖面（据文献[22]修改）"

图3

Appalachian盆地上泥盆统Ohio页岩Ro分布等值线（据文献[2]修改）"

图4

Appalachian盆地上泥盆统Ohio油页岩岩心及显微镜照片 （a） Huron黑色油页岩，夹粉砂岩纹层；（b） Huron油页岩，发育水平层理；（c） Chagrin深灰色油页岩；（d） Chagrin深灰色油页岩，发育生物扰动构造；（e） Cleveland黑色油页岩，夹粉砂岩薄层；（f） Cleveland油页岩，水平层理发育。"

图5

间接参数体积法资源评价流程"

图6

美国绿河地区Piceance盆地w与TOC、S2的相关性"

表1

不同开采方式下的油页岩技术可采系数取值标准[1]"

影响因素 技术可采系数的取值标准/%
开采方式 厚度/
m		 倾角/
(°)		 地质类型 基
数		 基础储量 探明资源量 控制
资源量		 推断
资源量		 预测
资源量
露天开采 — — 简单 95.0 95.0 76.0 66.5 57.0 47.5
— — 中等 90.0 90.0 72.0 63.0 54.0 45.0
— — 复杂 85.0 85.0 68.0 59.5 51.0 42.5
地下开采 0.7~1.3 < 25 简单 75.0 75.0 60.0 52.5 45.0 37.5
中等 70.0 70.0 56.0 49.0 42.0 35.0
复杂 65.0 65.0 52.0 45.5 39.0 32.5
25~45 简单 70.0 70.0 56.0 49.0 42.0 35.0
中等 65.0 65.0 52.0 45.5 39.0 32.5
复杂 60.0 60.0 48.0 42.0 36.0 30.0
> 45 简单 65.0 65.0 52.0 45.5 39.0 32.5
中等 60.0 60.0 48.0 42.0 36.0 30.0
复杂 55.0 55.0 44.0 38.5 33.0 27.5
1.3~3.5 < 25 简单 70.0 70.0 56.0 49.0 42.0 35.0
中等 65.0 65.0 52.0 45.5 39.0 32.5
复杂 60.0 60.0 48.0 42.0 36.0 30.0
25~45 简单 65.0 65.0 52.0 45.5 39.0 32.5
中等 60.0 60.0 48.0 42.0 36.0 30.0
复杂 55.0 55.0 44.0 38.5 33.0 27.5
> 45 简单 60.0 60.0 48.0 42.0 36.0 30.0
中等 55.0 55.0 44.0 38.5 33.0 27.5
复杂 50.0 50.0 40.0 35.0 30.0 25.0
> 3.5 < 25 简单 65.0 65.0 52.0 45.5 39.0 32.5
中等 60.0 60.0 48.0 42.0 36.0 30.0
复杂 55.0 55.0 44.0 38.5 33.0 27.5
25~45 简单 60.0 60.0 48.0 42.0 36.0 30.0
中等 55.0 55.0 44.0 38.5 33.0 27.5
复杂 50.0 50.0 40.0 35.0 30.0 25.0
> 45 简单 55.0 55.0 44.0 38.5 33.0 27.5
中等 50.0 50.0 40.0 35.0 30.0 25.0
复杂 45.0 45.0 36.0 31.5 27.0 22.5

表2

世界各国油页岩干馏生产页岩油的主要工艺对比[31-34]"

炉型 抚顺发生式炉 爱沙尼亚发生式炉 Kiviter炉 Petrosix炉 Galoter炉 Taciuk炉
国家 中国 爱沙尼亚 爰沙尼亚 巴西 爱沙尼亚 澳大利亚
地点 抚顺 Kivioli Kivioli SaoMateus Narva Stuart
公司 抚顺矿务局 ViruKeemia ViruKeemia Petrobras NarvaPower SPP/CPM
油页岩处理量/(t·d-1) 100 100 1 000 1 500~6 000 3 000 6 000
页岩块径/mm 10~75 10~100 10~125 6~50 0~25 0~16
型式 垂直圆筒 垂直圆筒 垂直圆筒 垂直圆筒 水平圆筒 水平圆筒
过程 页岩热解
半焦气化		 页岩热解
半焦气化		 页岩热解
半焦冷却		 页岩热解
半焦冷却		 页岩热解
半焦燃烧		 页岩热解
半焦燃烧
热载体 低热载体 低热载体 低热载体 高热值气 页岩灰 页岩灰
热源 干馏气及
半焦潜热		 干馏气及
半焦潜热		 干馏气及
半焦显热		 干馏气及
半焦显热		 半焦潜热 半焦潜热
铝甄油收系数/% 65 68 75~80 85~90 85~90 85~90
产品 燃料油 燃料油 燃料油 燃料油 燃料油 轻燃料油
低热值气 化工品 化工品 轻油硫黄 化工品 低硫轻油
页岩灰 低热值气 低热值气 高热值气 高热值气 高热值气
— 页岩灰 页岩半焦 页岩半焦 页岩灰 页岩灰

表3

油页岩原位开发资源转化系数取值标准"

厚度/m 倾角/
(°)		 地质
类型		 资源转化系数的取值标准/%
基数 基础
储量		 探明
资源量		 控制
资源量		 推断
资源量		 预测
资源量
< 60 < 20 简单 60.0 60.0 48.0 42.0 36.0 30.0
中等 55.0 55.0 44.0 38.5 33.0 27.5
复杂 50.0 50.0 40.0 35.0 30.0 25.0
20~45 简单 50.0 50.0 40.0 35.0 30.0 25.0
中等 45.0 45.0 36.0 31.5 27.0 22.5
复杂 40.0 40.0 32.0 28.0 24.0 20.0
> 45 简单 40.0 40.0 32.0 28.0 24.0 20.0
中等 35.0 35.0 28.0 24.5 21.0 17.5
复杂 30.0 30.0 24.0 21.0 18.0 15.0
60~150 < 20 简单 75.0 75.0 60.0 52.5 45.0 37.5
中等 70.0 70.0 56.0 49.0 42.0 35.0
复杂 65.0 65.0 52.0 45.5 39.0 32.5
20~45 简单 70.0 70.0 56.0 49.0 42.0 35.0
中等 65.0 65.0 52.0 45.5 39.0 32.5
复杂 60.0 60.0 48.0 42.0 36.0 30.0
> 45 简单 65.0 65.0 52.0 45.5 39.0 32.5
中等 60.0 60.0 48.0 42.0 36.0 30.0
复杂 55.0 55.0 44.0 38.5 33.0 27.5
> 150 < 20 简单 90.0 90.0 72.0 63.0 54.0 45.0
中等 85.0 85.0 68.0 59.5 51.0 42.5
复杂 80.0 80.0 64.0 56.0 48.0 40.0
20~45 简单 80.0 80.0 64.0 56.0 48.0 40.0
中等 75.0 75.0 60.0 52.5 45.0 37.5
复杂 70.0 70.0 56.0 49.0 42.0 35.0
> 45 简单 70.0 70.0 56.0 49.0 42.0 35.0
中等 65.0 65.0 52.0 45.5 39.0 32.5
复杂 60.0 60.0 48.0 42.0 36.0 30.0

图7

Appalachian盆地上泥盆统Ohio页岩H等值线（据文献[22]修改）"

图8

Appalachian盆地上泥盆统Ohio油页岩w等值线"

图9

Appalachian盆地上泥盆统Ohio油页岩H等值线"

图10

Appalachian盆地上泥盆统Ohio油页岩S2等值线"

图11

Appalachian盆地上泥盆统Ohio油页岩地面干馏资源丰度等值线"

图12

Appalachian盆地上泥盆统Ohio油页岩原位开发资源丰度等值线"

[1] 刘招君, 杨虎林, 董清水, 等. 中国油页岩[M]. 北京: 石油工业出版社, 2009.
LIU Zhaojun, YANG Hulin, DONG Qingshui, et al. Oil shale in China[M]. Beijing: Petroleum Industry Press, 2009.
[2] 马满兴. 大民屯凹陷油页岩层段储集性能研究[J]. 岩性油气藏, 2013, 25(5):37-43.
MA Manxing. Study on the reservoir properties of the interval of oil shale in Damintun Depression[J]. Lithologic Reservoirs, 2013, 25(5):37-43.
doi: 10.3969/j.issn.1673-8926.2013.05.007
[3] 孙丽娜, 张明峰, 吴陈君, 等. 油页岩生排烃模拟实验中不同液态烃产物特征[J]. 岩性油气藏, 2017, 29(6):23-31.
SUN Lina, ZHANG Mingfeng, WU Chenjun, et al. Features of liquid hydrocarbon in different states in oil shale during hydrous pyrolysis[J]. Lithologic Reservoirs, 2017, 29(6):23-31.
doi: 10.3969/j.issn.1673-8926.2017.06.004
[4] 刘畅, 苏龙, 关宝文, 等. 茂名油页岩生烃演化特征及热解动力学:以琼东南盆地地质模型为例[J]. 岩性油气藏, 2014, 26(6):89-97.
LIU Chang, SU Long, GUAN Baowen, et al. Thermolytic dynamics and hydrocarbon generation characteristics of Maoming Oil Shale:Taking the geological model of Qiongdongnan Basin as an example[J]. Lithologic Reservoirs, 2014, 26(6):89-97.
[5] 刘招君, 董清水, 叶青松, 等. 中国油页岩资源现状[J]. 吉林大学学报(地球科学版), 2006, 36(6):869-876.
LIU Zhaojun, DONG Qingshui, YE Qingsong, et al. The situation of oil shale resources in China[J]. Journal of Jilin University (Earth Science Edition), 2006, 36(6):869-876.
[6] 柳蓉, 刘招君. 国内外油页岩资源现状及综合开发潜力分析[J]. 吉林大学学报(地球科学版), 2006, 36(6):892-898.
LIU Rong, LIU Zhaojun. Oil shale resource situation and multi-purpose development potential in China and abroad[J]. Journal of Jilin University (Earth Science Edition), 2006, 36(6):892-898.
[7] 董清水, 王立贤, 于文斌, 等. 油页岩资源评价关键参数及其求取方法[J]. 吉林大学学报(地球科学版), 2006, 36(6):899-903.
DONG Qingshui, WANG Lixian, YU Wenbin, et al. The key parameters of oil shale resource appraisement and its evaluating methods[J]. Journal of Jilin University (Earth Science Edition), 2006, 36 (6):899-903.
[8] 张海龙. 东北北部区油页岩资源评价及评价方法研究[D]. 长春: 吉林大学, 2008.
ZHANG Hailong. Research on oil s resource evaluation and evaluation methods in northern of northeast China[D]. Changchun: Jilin University, 2008.
[9] 贾建亮, 刘招君, 郭巍, 等. 地质类比法在坳陷盆地油页岩资源评价中的应用:以松辽盆上白垩统为例[J]. 煤炭学报, 2011, 36(9):1474-1480.
JIA Jianliang, LIU Zhaojun, GUO Wei, et al. Application of geological analogy to assess oil shale resources of depression basin:An example from Upper Cretaceous Songliao Basin[J]. Journal of China Coal Geology, 2011, 36(9):1474-1480.
[10] 赵旭东. 石油资源定量评价[M]. 北京: 地质出版社, 1988.
ZHAO Xudong. Petroleum resources quantitative evaluation[M]. Beijing: Geological Publishing House, 1988.
[11] 金之钧, 张金川. 油气资源评价方法的基本原则[J]. 石油学报, 2002, 23(1):19-23.
doi: 10.7623/syxb200201004
JIN Zhijun, ZHANG Jinchuan. Fundamental principles for petroleum resources assessments[J]. Acta Petrolei Sinica, 2002, 23(1):19-23.
doi: 10.7623/syxb200201004
[12] 孟庆涛. 油页岩资源评价方法研究:以松辽盆地南部农安地区为例[D]. 长春: 吉林大学, 2007.
MENG Qingtao. Study on oil shale resource evaluation method:An example from Nongan area in southern Songliao Basin[D]. Changchun: Jilin University, 2007.
[13] 陈会军. 油页岩资源潜力评价与开发优选方法研究[D]. 长春: 吉林大学, 2010.
CHEN Huijun. Research on oil shale resource potential evaluation and development optimum seeking method[D]. Changchun: Jilin University, 2010.
[14] 贾建亮, 刘招君, 柳蓉, 等. 油页岩地质类比资源评价体系的建立[J]. 地质学报, 2014, 88(7):1321-1333.
JIA Jianliang, LIU Zhaojun, LIU Rong, et al. Establishment of assessment system for oil shale resources based on geological analogy[J]. Acta Geologica Sinica, 2014, 88(7):1321-1333.
doi: 10.1111/acgs.2014.88.issue-s2
[15] 户昶昊, 裴家学, 蔡国钢. 开鲁盆地陆东凹陷白垩系九佛堂组油气连续成藏条件[J]. 岩性油气藏, 2025, 37(3):1-12.
doi: 10.12108/yxyqc.20250301
HU Changhao, PEI Jiaxue, CAI Guogang. Hydrocarbon continuous accumulation conditions of Cretaceous Jiufotang Formation in Ludong Sag,Kailu Basin[J]. Lithologic Reservoirs, 2025, 37(3):1-12.
doi: 10.12108/yxyqc.20250301
[16] 黄彦杰, 白玉彬, 孙兵华, 等. 鄂尔多斯盆地富县地区延长组长7烃源岩特征及评价[J]. 岩性油气藏, 2020, 32(1):66-75.
doi: 10.12108/yxyqc.20200107
HUANG Yanjie, BAI Yubin, SUN Binghua, et al. Characteristics and evaluation of Chang 7 source rock of Yanchang Formation in Fuxian area,Ordos Basin[J]. Lithologic Reservoirs, 2020, 32(1):66-75.
doi: 10.12108/yxyqc.20200107
[17] MILICI R C, RYDER R T, SWEZEY C S, et al. Assessment of undiscovered oil and gas resources of the Appalachian Basin Province[R]. Washington D. C. : U.S. Geological Survey, 2002.
[18] CAROLINE A D, ANGELICA V O, JAMES E E. Black shale-gray shale transitions in a Late Devonian shale succession,Central Appalachian Basin (Northern Ohio):Sedimentary and geochemical evidence for terrestrial organic matter input driving anoxia events[J]. Palaeogeography,Palaeoclimatology,Palaeoecology, 2022, 608:111271.
doi: 10.1016/j.palaeo.2022.111271
[19] CHABALALA V P, WAGNER N, MALUMBAZO N, et al. Geochemistry and organic petrology of the permian whitehill formation,Karoo Basin (RSA) and the Devonian/Carboniferous shale of the Appalachian Basin (USA)[J]. International Journal of Coal Geology, 2020, 232:103612.
doi: 10.1016/j.coal.2020.103612
[20] ETTENSOHN F R. The Catskill delta complex and the Acadian orogeny:A model[J]. Geological Society of America, 1985, 201:39-49.
[21] MILICI R C, SWEZEY C S. Assessment of Appalachian basin oil and gas resources:Devonian shale-Middle and Upper Paleozoic Total Petroleum System[R]. Washington D.C.: U.S. Geological Survey, 2006.
[22] MILICI R C, SWEZEY C S. Assessment of Appalachian basin oil and gas resources:Devonian gas shales of the Devonian Shale-Middle and Upper Paleozoic Total Petroleum System[R]. Washington D.C.: U.S. Geological Survey, 2015.
[23] BOSWELL R M, DONALDSON A C. Depositional architecture of the Upper Devonian Catskill delta complex:Central Appalachian basin,U.S.A[J]. Dallas Geological Society, 1988, 14:65-84.
[24] HARPER J A. Devonian[R]. Pittsburgh: Pennsylvania Geological Survey and Pittsburgh Geological Society Special Publication, 1999, 1:108-127.
[25] LUNDEGARD P D, SAMUELS N D, PRYOR W A. Upper Devonian turbidite sequence,central and southern Appalachian basin:Contrasts with submarine fan deposits[R]. New York: Geological Society of America,1985:107-121.
[26] TISSOT B P, WELTE D H. Petroleum formation and occurrence[M]. Berlin: Springer Verlag,1984:699.
[27] TAYLOR G H, TEICHMULLER M, DAVIS A, et al. Organic petrology[M]. Berlin: Gebrüder Borntraeger,1988:720.
[28] 赵隆业, 陈基娘, 王天顺. 中国油页岩物质成分及工业成因类型[M]. 武汉: 中国地质大学出版社, 1990.
ZHAO Longye, CHEN Jiniang, WANG Tianshun. Composition and industrial genesis types of oil shale in China[M]. Wuhan: China University of Geosciences Press, 1990.
[29] 国土资源部矿产开发管理司. 中国矿产资源主要矿种开发利用水平与政策建议[M]. 北京: 中国冶金工业出版社, 2002.
Mineral Development Management Department of the Ministry of Land and Resources. The level of development and utilization of major mineral resources in China and policy recommendations[M]. Beijing: China Metallurgical Industry Press, 2002.
[30] 钱家麟, 王剑秋, 李术元. 世界油页岩资源利用和发展趋势[J]. 吉林大学学报(地球科学版), 2006, 36(6):877-887.
QIAN Jialin, WANG Jianqiu, LI Shuyuan. World oil shale utilization and its future[J]. Journal of Jilin University (Earth Science Edition), 2006, 36(6):877-887.
[31] 曹壮, 杨勇, 闫玉麟, 等. 油页岩干馏装置自动控制技术研究与应用[J]. 当代化工研究, 2025, 24(7):101-103.
CAO Zhuang, YANG Yong, YAN Yulin, et al. Research and application of automatic control technology for oil shale dry distillation plant[J]. Modern Chemical Research, 2025, 24(7):101-103.
[32] 纪晓飞. 油页岩干馏技术提升页岩油产量工艺探究[J]. 当代化工研究, 2024, 23(24):182-184.
JI Xiaofei. Exploration of oil shale dry distillation technology to enhance shale oil production process pyrolysis[J]. Modern Chemical Research, 2024, 23(24):182-184.
[33] 王宇, 龙帅. 油页岩干馏技术综述[J]. 河南化工, 2019, 36(11):6-10.
WANG Yu, LONG Shuai. Review of oil shale retorting technology[J]. Henan Chemical Industry, 2019, 36(11):6-10.
[34] 许辉, 姚拓, 朱福英. 抚顺油页岩干馏技术回收系统工艺研究[J]. 辽宁化工, 2017, 46(2):197-199.
XU Hui, YAO Tuo, ZHU Fuying. Research on recovery system of Fushun shale oil retorting process[J]. Liaoning Chemical Industry, 2017, 46 (2):197-199.
[35] 郭威, 孙友宏, 李强, 等. 油页岩局部化学反应法原位转化技术及松辽盆地先导试验工程[J]. 石油学报, 2024, 45(7):1104-1129.
doi: 10.7623/syxb202407006
GUO Wei, SUN Youhong, LI Qiang, et al. Oil shale in-situ conversion technology triggered by topochemical reaction method and pilot test project in Songliao Basin[J]. Acta Petrolei Sinica, 2024, 45(7):1104-1129.
doi: 10.7623/syxb202407006
[1] 刘刚, 赵谦平, 刘超, 孙建博, 尹锦涛. 延长油气区页岩气可采系数标定研究[J]. 岩性油气藏, 2018, 30(5): 51-58.
[2] 郭秋麟, 武娜, 任洪佳, 陈宁生, 谌卓恒. 中低成熟阶段页岩有机质孔预测模型探讨[J]. 岩性油气藏, 2017, 29(6): 1-7.
[3] 苟红光，赵莉莉，梁桂宾，佘家朝，刘俊田. 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.
[4] 刘 畅,苏 龙,关宝文,郑有伟,常 江，郑建京 . 茂名油页岩生烃演化特征及热解动力学—— — 以琼东南盆地地质模型为例[J]. 岩性油气藏, 2014, 26(6): 89-97.
[5] 马满兴. 大民屯凹陷油页岩层段储集性能研究[J]. 岩性油气藏, 2013, 25(5): 37-43.
[6] 李国斌，沙雪梅，方光建，张静，王建功. 阿尔及利亚BEL 构造泥盆系油藏描述[J]. 岩性油气藏, 2011, 23(2): 24-29.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!

陇ICP备17006252号
版权所有© 2018 中国石油集团西北地质研究所有限公司《岩性油气藏》编辑部

地址：甘肃省兰州市城关区雁儿湾路535号(陇ICP备17006252号)    电话：0931-8686158;8686058;8686288    邮箱：yxyqc@petrochina.com.cn

甘公网安备 62010202002827号

本系统由北京玛格泰克科技发展有限公司设计开发