Key methods and technologies in the study of oil shale mineralization
Liu Zhao-Jun1,2, Meng Qing-Tao1,2, Jia Jian-Liang3
1 College of Earth Sciences,Jilin University,Changchun 130061, China; 2 Key Laboratory for Oil Shale and Paragenetic Energy Minerals,Jilin Province, Changchun,130061, China; 3 Institute of Geology,Chinese Academy of Geological Sciences,Beijing 100037, China
Abstract Oil shale is an important unconventional oil & gas resource. It is critical to comprehensively identify and evaluate oil shale recourse by utilizing key methods and technologies in the study of oil shale mineralization. The key technologies of oil shale identification include geology identification based on petrology,geochemistry identification,high-resolution logging,seismic technique for three-dimensional space description,advanced test technique,innovated theory & method and secondary exploitation of high-quality geophysics information,all of which will continuously improve the accuracy of oil shale identification and forecast from qualitative to the quantitative. The key methods in the study of oil shale mineralization are firstly to find out the geological factors,including palaeostructure,palaeogeographic and palaeoclimate conditions,and palaeolake environments,to discuss a combined effects on various organic matter sources,preservation conditions and diagenesis. Then,finely depict the process of organic matter enrichment of oil shale from qualitative to the quantitative,thus effectively forecast the patterns of oil shale formation and distribution. This paper was mainly based on the research results of continental oil shale-bearing basins in China. Due to the diversity of oil shale genetic type,there might exist differences of identifying characteristics between continental origin and marine origin oil shale,which still needs to be further studied and summarized. It is hoped that this paper could also be useful for researches an shale oil,shale gas and hydrocarbon source rocks.
Fund:Co-funded by the National Natural Science Foundation of China(Nos.41872103,41772114),the Project of National Oil Shale Resource Evaluation(No.2017YQZYPJ01),and the Project of Oil and Gas Resources Survey Center,China Geological Survey(No. DD20189606-YQ18W01)
Corresponding Authors:
About the corresponding author Meng Qing-Tao,born in 1984,is a professor of College of Earth Sciences,Jilin University. Now she is engaged in metallogenetic theory of oil shale. E-mail: mengqt@jlu.edu.cn.
About author: Liu Zhao-Jun,born in 1951,is a professor of College of Earth Sciences,Jilin University. Now he is engaged in metallogenetic theory of oil shale and resource evaluation. E-mail: liuzj@jlu.edu.cn.
Cite this article:
Liu Zhao-Jun,Meng Qing-Tao,Jia Jian-Liang. Key methods and technologies in the study of oil shale mineralization[J]. JOPC, 2019, 21(1): 127-142.
Liu Zhao-Jun,Meng Qing-Tao,Jia Jian-Liang. Key methods and technologies in the study of oil shale mineralization[J]. JOPC, 2019, 21(1): 127-142.
1 曹强,叶加仁,石万忠,陈春峰. 2009. 低勘探程度盆地烃源岩早期评价: 以南黄海北部盆地东北凹为例. 石油学报, 30(4): 522-529. [Cao Q,Ye J R,Shi W Z,Chen C F.2009. Preliminary prediction and evaluation of source rocks in low exploration basins: A case study on the northeast sag of the Northern South Yellow Sea Basin in China.Acta Petrolei Sinica, 30(4): 522-529] 2 陈海峰,王凤启,王民,于惠宇. 2017. 基于变系数△logR技术的烃源岩TOC精细评价. 中国石油大学学报: 自然科学版, 41(4): 54-64. [Chen H F,Wang F Q,Wang M,Yu H Y.2017. TOC evaluation using variable-coefficient ΔlogR model. Journal of China University of Petroleum, 41(4): 54-64] 3 陈祖庆. 2014. 海相页岩TOC地震定量预测技术及其应用: 以四川盆地焦石坝地区为例. 天然气工业, 34(6): 24-29. [Chen Z Q.2014. Quantitative seismic prediction technique of marine shale TOC and its application: A case from the Longmaxi shale play in the Jiaoshiba area,Sichuan Basin. Natural Gas Industry, 34(6): 24-29] 4 邓宏文,钱凯. 1993. 沉积地球化学与环境分析. 甘肃科学技术出版社. [Deng H W,Qian K.1993. Sedimentary Geochemistry and Environmental Analysis. Gansu Science and Technology Press] 5 何沂,甘宇,逯宇佳,王弘扬,吕雪松. 2018. 吕雪松基于支持向量回归的页岩TOC含量预测. 油气地球物理, 16(3): 18-21. [He Y,Gan Y,Lu Y J,Wang H Y,Lü X S.2018. Prediction of the TOC content of shale based on support vector regression. Petroleum Geophysics, 16(3): 18-21] 6 贺君玲,邓守伟,陈文龙,贾裕鲲,高金琦. 2006. 利用测井技术评价松辽盆地南部油页岩. 吉林大学学报(地球科学版), 36(6): 909-914. [He J L,Deng S W,Chen W L,Jia Y K,Gao J Q.2006. Evaluation of oil shale in the Southern Songliao Basin Using Logging Techniques.Journal of Jilin University(Earth Science Edition), 36(6): 909-914] 7 洪有密. 1993. 测井原理与综合解释. 东营: 石油大学出版社,44-61. [Hong Y M.1993. The Logging Principles and Its Comprehensive Interpretation. Dongying: Petroleum University Press,44-61] 8 侯华星,欧阳永林,曾庆才,杨青,陈胜,朱莎. 2016. 四川长宁页岩总有机碳地震定量预测方法. 东北石油大学学报, 40(5): 18-27. [Hou H X,Ouyang Y L,Zeng Q C,Yang Q,Chen S,Zhu S.2016. Seismic quantitative prediction technique for shale TOC in the Changning,Sichuan. Journal of Northeast Petroleum University, 40(5): 18-27] 9 侯华星,欧阳永林,曾庆才,陈胜. 2017. 川南地区龙马溪组页岩气“甜点区”地震预测技术. 煤炭科学技术, 45(5): 154-163. [Hou H X,Ouyang Y L,Zeng Q C,Chen S.2017. Seismic prediction technology of shale gas sweet spots in Longmaxi Formation of south Sichuan area. Coal Science and Technology, 45(5): 154-163] 10 胡慧婷,卢双舫,刘超,王伟明,王民,李吉君,尚教辉. 2011. 测井资料计算源岩有机碳含量模型对比及分析. 沉积学报, 29(6): 1199-1205. [Hu H T,Lu S F,Liu C,Wang W M,Wang M,Li J J,Shang J H.2011. Models for calculating organic carbon content from logging information: Comparison and analysis.Acta Sedimentologica Sinica, 29(6): 1199-1205] 11 黄文彪,邓守伟,卢双舫,于玲,胡硕,张炬. 2014. 泥页岩有机非均质性评价及其在页岩油资源评价中的应用: 以松辽盆地南部青山口组为例. 石油与天然气地质, 35(5): 704-711. [Huang W B,Deng S W,Lu S F,Yu L,Hu S,Zhang J.2014. Shale organic heterogeneity evaluation method and its application to shale oil resource evaluation: A case study from qingshankou formation,southern Songliao Basin. Oil and Gas Geology, 35(5): 704-711] 12 黄振凯,陈建平,薛海涛,王义军,王民,邓春萍. 2013. 松辽盆地白垩系青山口组泥页岩孔隙结构特征. 石油勘探与开发. 40(1): 58-65. [Huang Z K,Chen J P,Xue H T,Wang Y J,Wang M,Deng C P.2013. Microstructural characteristics of the Cretaceous Qingshankou Formation shale,Songliao Basin. Petroleum Exploration and Development, 40(1): 58-65] 13 霍秋立,曾花森,付丽,任志高. 2011. △logR测井源岩评价方法的改进及其在松辽盆地的应用. 吉林大学学报(地球科学版), 41(2): 586-591. [Huo Q L,Zeng H S,Fu L,Ren Z G.2011. The advance of ΔlogR method and its application in Songliao Basin. Journal of Jilin University. 41(2): 586-591] 14 贾建亮. 2012. 基于地球化学—地球物理的松辽盆地上白垩统油页岩识别与资源评价. 吉林大学博士学位论文,85-110. [Jia J L.2012. Research on the Recognition and Resource Evaluation of the Upper Cretaceous Oil Shale Based on Geochemistry-Geophysics Technique in the Songliao Basin,China. Doctoral Dissertation of Jilin University,85-110] 15 贾建亮,刘招君,Achim B,Reinhard F,Sachsenhofer,孙平昌,Susanne A I Strobl.2014. 松辽盆地嫩江组油页岩发育控制因素. 地球科学: 中国地质大学学报,(2): 174-186. [Jia J L,Liu Z J,Achim B,Reinhard F,Sachsenhofer,Sun P C,Susanne A I Strobl.2014. Major Factors Controlling Formation of Oil Shale in Nenjiang Formation of Songliao Basin. Earth Science Journal of China University of Geosciences,(2): 174-186.] 16 贾建亮,刘招君,陈永成. 2015. 油页岩的地震识别与评价技术. 中南大学学报(自然科学版), 46(7): 2581-2589. [Jia J L,Liu Z J,Chen Y C.2015. A seismic technique for recognition and evaluation of oil shale. Journal of Central South University, 46(7): 2581-2589] 17 金强,武爱俊,金风鸣,赵贤正,梁宏斌. 2012. 武清凹陷大孟庄洼槽烃源岩地震属性预测与评价. 油气地质与采收率, 19(4): 34-37. [Jin Q,Wu A J,Jin F M,Zhao X Z,Liang H B.2012. Estimation of source rocks by seismic attributes in the Damengzhuang sag Wuqing depression. Petroleum Geology and Recovery Efficiency, 19(4): 34-37] 18 李勇根,徐胜峰. 2008. 地震岩石物理和正演模拟技术在致密砂岩储集层预测中的应用研究. 石油天然气学报(江汉石油学院学报), 30(6): 61-65. [Li Y G,Xu S F.2008. Application of seismic rock physics and forward simulation in predicting tight sandstone reservoirs. Journal of Oil and Gas Technology(JJPI), 30(6): 61-65] 19 刘超,印长海,卢双舫. 2015. 变系数△logR烃源岩测井评价技术关键参数厘定方法及应用. 天然气地球科学, 26(10): 1925-1931. [Liu C,Yin C H,Lu S F.2015. Predicting key parameters for variable-coefficient ΔlogR logging technique and its application in source rocks evaluation. Natural Gas Geoscience, 26(10): 1925-1931] 20 刘惠民,李守军,郑德顺,李学艳. 2003. 东营凹陷沙三段沉积期湖泊古生产力研究. 石油勘探与开发, 30(3): 65-67. [Liu H M,Li S J,Zheng D S,Li X Y.2003. Lacustrine palaeo-productivity in theThird Member of the Shahejie Formation in Dongying Sag. Petroleum Exploration and Development, 30(3): 65-67]. 21 刘招君,董清水,王嗣敏,朱建伟,郭巍. 2002. 陆相层序地层学导论与应用. 北京: 石油工业出版社. [Liu Z J,Dong Q S,Wang S M,Zhu J W,Guo W.2002. Introduction to Continental Sequence Stratigraphy & Application. Beijing: Petroleum Industry Press] 22 刘招君,杨虎林,董清水,朱建伟,郭巍,叶松青,柳蓉,孟庆涛,张海龙,甘树才. 2009a. 中国油页岩. 北京: 石油出版社: 2-3.157-167. [Liu Z J,Yang H L,Dong Q S,Zhu J W,Guo W,Ye S Q,Liu R,Meng Q T,Zhang H L,Gan S C.2009a. Oil Shale in China. Beijing: Petroleum Industry Press,2-3,157-167] 23 刘招君,孟庆涛,柳蓉. 2009b. 中国陆相油页岩特征及成因类型. 古地理学报, 11(1): 105-114. [Liu Z J,Meng Q T,Liu R.2009b. Characteristics and genetic types of continental oil shales in China. Journal of Palaeogeography(Chinese Edition), 11(1): 105-114] 24 刘招君,孟庆涛,柳蓉,胡菲,周人杰. 2010. 古湖泊学研究: 以桦甸断陷盆地为例. 沉积学报, 28(5): 917-925. [Liu Z J,Meng Q T,Liu R,Hu F,Zhou R J.2010. Paleolimnology Study: Taking Huadian Fault Basin as an example. Acta Sedimentologica Sinica, 28(5): 917-925] 25 刘招君,孙平昌,贾建亮,柳蓉,孟庆涛. 2011. 陆相深水环境层序识别标志及成因解释: 以松辽盆地青山口组为例. 地学前缘, 18(4): 171-180. [Liu Z J,Sun P C,Jia J L,Liu R,Meng Q T.2011. Distinguishing features and their genetic interpretation of stratigraphic sequences in continental deep water setting: A case from Qingshankou Formation in Songliao Basin. Earth Science Frontiers, 18(4): 171-180] 26 刘招君,孟庆涛,贾建亮,孙平昌,柳蓉,胡晓峰. 2012. 陆相盆地油页岩成矿规律: 以东北地区中、新生代典型盆地为例. 吉林大学学报(地球科学版), 42(5): 1286-1297. [Liu Z J,Meng Q T,Jia J L,Sun P C,Liu R,Hu X F.2012. Metallogenic Regularity of Oil Shale in Continental Basin: Case Study in the Meso-Cenozoic Basins of Northeast China.Journal of Jilin University(Earth Science Edition), 42(5): 1286-1297] 27 刘招君,柳蓉,孟庆涛,郭巍,朱建伟,董清水. 2013. 中国的油页岩. 见: 冯增昭,编. 中国沉积学(第二版). 北京: 石油工业出版,1717-1756. [Liu Z J,Liu R,Meng Q T,Guo W,Zhu J W,Dong Q S.2013. Oil Shale in China. In: Feng Z Z(ed). Sedimentology of China(Second Edition). Beijing: Petroleum Industry Press,1717-1756] 28 刘招君,孙平昌,柳蓉,孟庆涛,胡菲. 2016. 中国陆相盆地油页岩成因类型及矿床特征. 古地理学报, 18(4): 525-534. [Liu Z J,Sun P C,Liu R,Meng Q T,Hu F.2016. Genetic types and deposit features of oil shale in continental basin in China. Journal of Palaeogeography(Chinese Edition), 18(4): 525-534] 29 刘震,常迈,赵阳,李运振,沈怀磊. 2007. 低勘探程度盆地烃源岩早期预测方法研究. 地学前缘, 14(4): 159-167. [Liu Z,Chang M,Zhao Y,Li Y Z,Shen H L.2007. Method of early prediction on source rocks in basins with low exploration activity. Earth Science Frontiers, 14(4): 159-167] 30 柳蓉. 2007. 东北地区东部新生代断陷盆地油页岩特征及成矿机制研究. 吉林大学博士学位论文. [Liu R.2007. Research on Oil Shale Characteristics and Metallogenic Mechanism of Cenozoic Fault Basins in Eastern Northeast Region. Doctoral Dissertation of Jilin University] 31 卢双舫,薛海涛,王民,肖佃师,黄文彪,李俊乾,谢柳娟,田善思,王森,李吉君,王伟明,陈方文,李文浩,薛庆忠,刘学峰. 2016. 页岩油评价中的若干关键问题及研究趋势. 石油学报, 37(10): 1309-1322. [Lu S F,Xue H T,Wang M,Xiao D S,Huang W B,Li J Q,Xie L J,Tian S S,Wang S. Li J J,Wang W M,Chen F W,Li W H,Xue Q Z,Liu X F.2016. Several key issues and research trends in evaluation of shale oil. Acta Petrolei Sinica, 37(10): 1309-1322] 32 孟庆涛. 2010. 桦甸盆地始新统油页岩岩石地球化学特征及富集规律研究. 吉林大学博士学位论文. [Meng Q T.2010. Research on Petrologic and Geochemical Characteristics of Eocene Oil Shale and Its Enrichment Regularity,Huadian Basin. Doctoral Dissertation of Jilin University] 33 孟庆涛,郑国栋,刘招君,胡菲,孙平昌,周人杰. 2016. 桦甸盆地始新世孢粉特征及其古气候指示意义. 世界地质, 35(1): 1-8. [Meng Q T,Zheng G D,Liu Z J,Hu F,Sun P C,Zhou R J.2016. Palynofloral characteristics and indications for Eocene climate in Huadian Basin. Global Geology, 35(1): 1-8] 34 莫修文,贺铎华,李舟波,文新川,李桂荣. 2001. 三水导电模型及其在低阻储集层解释中的应用. 长春科技大学学报, 31(1): 92-95. [Mo X W,He D H,Li Z B,Wen X C,Li G R.2001. The application of three-water conduction model in the interpretation of low-resistivity reservoir. Journal of Changchun University of Science and Technology, 31(1): 92-95] 35 史冀忠,刘招君,柳蓉,杜江峰,张健,刘沣. 2008. 辽宁抚顺盆地始新世古气候定量研究. 吉林大学学报(地球科学版), 38(1): 50-55. [Shi J Z,Liu Z J,Liu R,Du J F,Zhang J,Liu F.2008. Quantitative reconstruction of the Eocene palaeoclimate in the Fushun Basin,Liaoning Province. Journal of Jilin University(Earth Science Edition), 38(1): 50-55] 36 孙建孟,王永刚. 2001. 地球物理资料综合解释. 东营: 石油大学出版社,16-37. [Sun J M,Wang Y G.2001. The Comprehensive Interpretation of Geophysical Data. Dongying: Petroleum University Press,16-37] 37 孙平昌. 2013. 松辽盆地东南部上白垩统含油页岩系有机质富集环境动力学. 吉林大学博士学位论文. [Sun P C.2013. Environmental Dynamics of Organic Accumulation in the Oil Shale Bearing Layers in the Upper Cretaceous,Southeast Songliao Basin(NE China). Doctoral Dissertation of Jilin University] 38 孙平昌,刘招君,孟庆涛,柳蓉,贾建亮,胡晓峰. 2011. 桦甸盆地古近纪充填特征及对油页岩成矿的影响. 煤炭学报, 36(7): 1110-1116. [Sun P C,Liu Z J,Meng Q T,Liu R,Jia J L,Hu X F.2011. Effect of the basin-fill features on oil shale formation in Paleogene,Huadian Basin. Journal of Coal, 36(7): 1110-1116] 39 谭廷栋. 1988. 测井识别生油岩方法. 测井技术, 12(6): 1-11. [Tan T D.1988. Identification of kuchersits from well logs. Well Logging Technology, 12(6): 1-11] 40 汪品先. 1991. 开展含油盆地的古湖泊学研究. 见: 汪品先,刘传联等编译. 古湖泊学译文集. 北京: 海洋出版社,1-14. [Wang P X.1991. Study on paleo-lakes in oil-bearing basins. In: Wang P X,Liu C L, et al.(eds). Ancient lake Studies. Beijing: Ocean Press,1-14] 41 王随继,黄杏珍,妥进才,邵宏舜,阎存凤,王寿庆,何祖荣. 1997. 泌阳凹陷核桃园组微量元素演化特征及其古气候意义. 沉积学报, 15(1): 65-70. [Wang S J,Huang X Z,Tuo J C,Shao H S,Yan C F,Wang S Q,He Z R.1997. Evolutional Characteristics and Their Paleoclimate Significance of Trace Elements in the Hetaoyuan Formation,Biyang Depression. Acta Sedimentologica Sinica, 15(1): 65-70] 42 徐进军. 2015. 松辽盆地北部上白垩统油页岩有机质富集机制的高精度刻画. 吉林大学博士学位论文. [Xu J J.2015. High Precision Characterization of Organic Matter Enrichment Mechanism of the Upper Cretaceous Oil Shale in Northern Songliao Basin. Doctoral Dissertation of Jilin University] 43 徐思煌,朱义清. 2010. 烃源岩有机碳含量的测井响应特征与定量预测模型: 以珠江口盆地文昌组烃源岩为例. 石油实验地质, 32(3): 290-295. [Xu S H,Zhu Y Q.2010. Well logs response and predition model of organic carbon content in source rocks: A case study from the source rock of Wenchang Formation in the Pearl Mouth Basin. Petroleum Geology and Experiment,32(3):290-295] 44 许世红,吴光华,黄开权,王广利. 2002. 安参1井侏罗系和石炭—二叠系暗色泥岩地球化学特征及意义. 石油实验地质, 24(3): 284-286. [Xu S H,Wu G H,Huang K Q,Wang G L.2002. Geochemical characteristics and significance of the jurassic and carboniferouspermian melamudstone in well An'can-1. Petroleum Geology & Experiment, 24(3): 284-286] 45 许晓宏,黄海平,卢松年. 1998. 测井资料与烃源岩有机碳含量的定量关系研究. 石油天然气学报, 20(3): 8-12. [Xu X H,Huang H P,Lu S N.1998. A quantitative relationship between well logging information and organic carbon content. Journal of Oil and Gas Technology(JJPI), 20(3): 8-12] 46 杨峰,宁正福,胡昌蓬,王波,彭凯,刘慧卿. 2013. 页岩储集层微观孔隙结构特征. 石油学报, 34(2): 301-311. [Yang F,Ning Z F,Hu C P,Wang B,Peng K,Liu H Q.2013. Characterization of microscopic pore structures in shale reservoirs. Acta Petrolei Sinica, 34(2): 301-311] 47 尹秀珍. 2008. 松辽盆地中部晚白垩世早期古湖泊生产力研究. 中国地质大学(北京)博士学位论文. [Yin X Z.2008. PalaeoLacustrine Productivity Study of Early Late Cretaceous in the Central Area of Songliao Basin. Doctoral Dissertation of China University of Geosciences(Beijing)] 48 于建国,韩文功,于正军,路慎强,王金铎. 2005. 济阳拗陷孔店组烃源岩的地震预测方法. 石油地球物理勘探, 40(3): 318-321. [Yu J G,Han W G,Yu Z J,Lu S Q,Wang J D.2005. The seismic prediction method of Kongdian Formation source rock in Jiyang depression. Oil Geophysical Prospecting, 40(3): 318-321] 49 张晗,卢双舫,李文浩,田伟超,胡莹,何涛华,谭昭昭. 2017. ΔlogR技术与BP神经网络在复杂岩性致密层有机质评价中的应用. 地球物理学进展, 32(3): 1308-1313. [Zhang H,Lu S F,Li W H,Tian W C,Hu Y,He T H,Tan Z Z.2017. Application of ΔlogR technology and bp neural network in organic evaluation in the complex lithology tight stratum. Progress in Geophysics, 32(3): 1308-1313] 50 张寒,朱光有. 2007. 利用地震和测井信息预测和评价烃源岩: 以渤海湾盆地富油凹陷为例. 石油勘探与开发, 34(1): 55-59. [Zhang H,Zhu G Y.2007. Using seismic and log in formation to predict and evaluate hydrocarbon source rocks: An example from rich oil depressions in Bohai Bay. Petroleum Exploration and Development, 34(1): 55-59] 51 张佳佳,李宏兵,姚逢昌. 2012. 油页岩的地球物理识别和评价方法. 石油学报, 33(4): 625-632. [Zhang J J,Li H B,Yao F C.2012. A geophysical method for the identification and evaluation of oil shale. Acta Petrolei Sinica, 33(4): 625-632] 52 张志伟,张龙海. 2000. 测井评价烃源岩的方法及其应用效果. 石油勘探与开发, 27(3): 85-87. [Zhang Z W,Zhang L H.2000. A method of source rock evaluation by well-logging and its application result. Petroleum Exploration and Development, 27(3): 85-87] 53 赵彦超. 1990. 生油岩测井评价的理论和实践: 以南阳、泌阳凹陷为例. 地球科学(中国地质大学学报), 15(1): 65-74. [Zhao Y C.1990. The theory and application of logging for source rock evaluation: From the working results in Nanyang and Biyang Depressions. Earth Science(Journal of China University of Geosciences), 15(1): 65-74] 54 朱建伟,赵刚,刘博,郭巍,成俊. 2012. 油页岩测井识别技术及应用. 吉林大学学报(地球科学版), 42(2): 289-295. [Zhu J W,Zhao G,Liu B,Guo W,Cheng J.2012. Identification technology and it's application of well-logging about oil shale. Journal of Jilin University(Earth science), 42(2): 289-295] 55 朱振宇,刘洪,李幼铭. 2003. △logR技术在烃源岩识别中的应用与分析. 地球物理学进展, 18(4): 647-649. [Zhu Z Y,Liu H,Li Y M.2003. The analysis and application of △logR method in the source rock's identification. Progress in Geophysics, 18(4): 647-649]. 56 Autric A.1985. Resistivity,radioactivity,and sonic transit time logs to evaluate the organic content of low permeability rocks. The Log Analyst, 26(3): 36-45. 57 Bechtel A,Woszczyk M,Reischenbacher D,Sachsenhofer R F,Gratzer R,Spychalski W.2007. Biomarkers and geochemical indicators of Holocene environmental changes in coastal Lake Sarbsko(Poland). Organic Geochemistry, 38(7): 1112-1131. 58 Bechtel A,Jia J L,Strobl A I S,Sachsenhofer R F,Liu Z J,Gratzer R,Puttmann W.2012. Palaeoenvironmental conditions during deposition of the Upper Cretaceous oilshale sequences in the Songliao Basin(NE China): Implications from geochemical analysis. Organic Geochemistry, 46: 76-95. 59 Beers R F.1945. Radioactivity and organic content of some Paleozoic shales.AAPG Bulletin, 29(1): 1-22. 60 Berner R A,Raiswell R.1983. Burial of organic carbon and pyrite sulfur in sediments over Phanerozoic time: A new theory. Geochimica et Cosmochimica Acta, 47(5): 855-862. 61 Brassell S C,Eglinton G,Maxwell J R,Philp R P.1978. Natural background of alkanes in the aquatic environment. Aquatic pollutants: Transformation and Biological Effects, 69-86. 62 Deconinck J F,Blanc-Valleron M M,Rouchy J M, Camoin G, Badauttrauth D.2000. Palaeoenvironmental and diagenetic control of the mineralogy of Upper Cretaceous-Lower Tertiary deposits of the Central Palaeo-Andean basin of Bolivia(Potosi area). Sediment. Geol, 132(3-4): 263-278. 63 Dyni J R.2003. Geology and resources of some world oil-shale deposits. Oil Shale, 20(3): 193-252. 64 El Sharawy M S,Gaafar G R.2012. Application of well log analysis for source rock evaluation in the Duwi Formation,Southern Gulf of Suez,Egypt. Journal of Applied Geophysics, 80(3): 129-143. 65 Fertl W H,Chilingar G V.1988. Total organic carbon content determined from well logs. SPE Formation Evaluation, 3(2): 407-419. 66 Hertzog R,Colson L,Seeman O,Brien M O,Scott H,Mckeon D,Wraight p,Grau J,Ellis D,Schweitzer J,Herron M.1989. Geochemical logging with spectrometry tools. SPE Formation Evaluation, 4(2): 153-162. 67 Huang Z, Williamson M A.1996. Artificial neural network modelling as an aid to source rock characterization.Marine and Petroleum Geology, 13(2): 227-290. 68 Hussain F A.1987. Source rock identification in the state of Kuwait using wireline logs. SPE Formation Evaluation 15747: 477-488. 69 Hutton A C.1987. PetrologRaphic classification of oil shales. International Journal of Coal Geology, 8: 203-231. 70 Jia J L,Liu Z J,Meng Q T,Liu R,Sun P C,Chen Y C.2012. Quantitative evaluation of oil shale based on well log and 3-D seismic technique in the Songliao Basin,NE China. Oil Shale, 29(2): 128-150. 71 Jia J,Bechtel A,Liu Z J,Strobl S A I,Sun P C,Sachsenhofer R F.2013a. Oil shale formation in the Upper Cretaceous Nenjiang Formation of the Songliao Basin(ne China): implications from organic and inorganic geochemical analyses. International Journal of Coal Geology, 113(4): 11-26. 72 Jia J,Liu Z J,Bechtel A,Strobl S A I,Sun P C.2013b. Tectonic and climate control of oil shale deposition in the Upper Cretaceous qingshankou formation(Songliao Basin,NE China. International Journal of Earth Sciences, 102(6): 1717-1734. 73 Johann S,Alastair R,Jean-Francois D,Francois B.2006. Conjunctive use of gamma-ray logs and clay mineralogy in defining late Jurassic-early Cretaceous palaeoclimate change(Dorset,U.K.). Palaeogeography,Palaeoclimatology,Palaeoecology, 229: 303-320. 74 Kadkhodaie-Ilkhci A,Rezaee M R,Rahimpour-Bonab H.2009. A committee neural network for prediction of normalized oil content from well log data: An example from South Pars Gas Field,Persian Gulf. Journal of Petroleum Science and Engineering, 65: 23-32. 75 Kamali M R,Mirshady A A.2004. Total organic carbon content determined from well logs using △logR and neuro fuzzy techniques. Journal of Petroleum Science and Engineering, 45(3-4): 141-148. 76 Kamel M H,Mabrouk W M.2003. Estimation of shale volume using a combination of the three porosity logs. Journal of Petroleum Science and Engineering, 40(3-4): 145-157. 77 Kuila U,McCarty D K,Derkowski A,Fischer T B,Prasad M.2014. Total porosity measurement in gas shales by the water immersion porosimetry(WIP)method. Fuel, 117(1): 1115-1129. 78 Li Z,Mo X.1999. Study on the electric property of shaly sand and its interpretation method. Journal of Geoscientific Research in Northeast Asia, 2: 110-1141. 79 Løseth H,Gading M,Wensaas L.2009. Hydrocarbon leakage interpreted on seismic data. Marine and Petroleum Geology, 26(7): 1304-1319. 80 Løseth H,Wensaas L,Gading M,Duffaut K,Springer M.2011. Can hydrocarbon source rocks be identified on seismic data?Geology, 39: 1167-1170. 81 Meng Q T,Liu Z J,Bruch A A,Liu R,Hu F.2012. Palaeoclimatic evolution during Eocene andits influence on oil shale mineralisation,Fushun basin,China. Journal of Asian Earth Sciences, 45: 95-105. 82 Meng Q T,Bruch A A,Sun G,Liu Z J,Hu F. Sun P C.2018. Quantitative reconstruction of Middle and Late Eocene paleoclimate based on palynological records from the Huadian Basin,northeastern China: Evidence for monsoonal influence on oil shale formation. Palaeogeography,Palaeoclimatology,Palaeoecology, 510: 63-77. 83 Meyer B L,Nederlof M H.1984. Identification of source rocks on wireline logs by density/resistivity and sonic transit time/resistivity crossplots. AAPG Bulletin, 68(2): 121-129. 84 Meyers S R,Sageman B B,Arthur M A.2012. Obliquity forcing of organic matter accumulation during Oceanic Anoxic Event 2. Paleoceanography,27(3). 85 Müller P J,Suess E.1979. Productivity,sedimentation rate,and sedimentary organic matter in the oceans—Ⅰ. Organic carbon preservation. Deep Sea Research Part A. Oceanographic Research Papers, 26(12): 1347-1362. 86 Nelson P H.2009. Pore-throat sizes in sandstones,tight sandstones,and shales. AAPG Bulletin, 93(3): 329-340. 87 Nesbitt H W,Wilson R E.1992. Recent chemical weathering of basalts. American Journal of Science. 292(10): 740-777 88 Passey Q R,Creaney S,Kulla J B,Moretti F J,Stroud J D.1990. A practial model for organic richness from porosity and resisitivty logs. AAPG Bulletin, 74(12): 1777-1794. 89 Passey Q R,Bohacs K M,Esch W L,Klimentidis R,Sinha S.2010. From oil-prone source rock to gas-producing shale reservoir: Geologic and petrophysical characterization of unconventional shale-gas reservoirs. International Oil and Gas Conference and Exhibition. Beijing,China,SPE Paper 131350. 90 Peters K G,De Vries C,Williams L T.1993. Vascular endothelial growth factor receptor expression during embryogenesis and tissue repair suggests a role in endothelial differentiation and blood vessel growth. Proceedings of the National Academy of Sciences, 90(19): 8915-8919. 91 Peters K E,Walters C C,Moldowan J M.2005. The Biomarker Guide: Biomarkers and Isotopes in the Environment and Human History. Cambridge University Press. 92 Quan C,Liu Y S,Utescher T.2012. Paleogene temperature gradient,seasonal variation and climate evolution of northeast China. Palaeogeogr, Palaeoclimatol, Palaeoecol, 313-314,150-163. 93 Schmoker J W.1979. Determination of organic content of Appalachian Devonian shales from formation density logs. AAPG Bulletin, 63(9): 1505-1537. 94 Schmoker J W.1981. Determination of organic matter content of Appalachian Devonian shale from Gammaray logs. AAPG Bulletion, 65(7): 1285-1298. 95 Schmoker J W,Hester T C.1983. Organic carbon in Bakken formation-United States Portion of Willist on Basin. AAPG Bulletin, 67(12): 2165-2174. 96 Sinninghe Damsté J S,Koster J,Schouten S,Leeuw J W de. 1995. Reconstruction of the depositional environment of Toarcian marlstones(Allgau Formation,Tyrol/Austria)using biomarkers and compound specific carbon isotope analysis. In: Organic Geochemistry: Developments and Applications to Energy,Climate,Environment and Human History: 76-79. 97 Swanson V E.1960. Oil yield and uranium content of blank shales. USGS Professional Paper 356,Virginia: USGS: 1-44. 98 Vail P R.1987. Seismic stratigraphy interpretation using sequence stratigraphy: Part 1: Seismic stratigraphy interpretation procedure. AAPG Studies in Geology, 27:1-10. 99 Xu J,Liu Z,Bechtel A,Meng Q T,Sun P C,Jia J L,Cheng L J,Song Y.2015. Basin evolution and oil shale deposition during Upper Cretaceous in the Songliao Basin(NE China): implications from sequence stratigraphy and geochemistry. International Journal of Coal Geology, 149: 9-23. 100 Зеленин Н И,Oзеров N M.1983. Справочник по Горючим Сланцам. Л: Недра.