[1] 赵政璋, 杜金虎. 致密油气[M]. 北京: 石油工业出版社, 2012.
ZHAO Zhengzhang, DU Jinhu. Tight oil and gas[M]. Beijing: Petroleum Industry Press, 2012.
[2] 贾承造, 郑民, 张永峰. 非常规油气地质学重要理论问题[J]. 石油学报, 2014, 35(1): 1-10.
JIA Chengzao, ZHENG Min, ZHANG Yongfeng. Four important theoretical issues of unconventional petroleum geology[J]. Acta Petrolei Sinica, 2014, 35(1): 1-10.
[3] 姜在兴, 梁超, 吴靖, 等. 含油气细粒沉积岩研究的几个问题[J]. 石油学报, 2013, 34(6): 1031-1039.
JIANG Zaixing, LIANG Chao, WU Jing, et al. Several issues in sedimentological studies on hydrocarbon-bearing fine-grained sedimentary rocks[J]. Acta Petrolei Sinica, 2013, 34(6): 1031-1039.
[4] MACQUAKER J H S, ADAMS A E. Maximizing information from fine-grained sedimentary rocks: An inclusive nomenclature for mudstones[J]. Journal of Sedimentary Research, 2003, 73(3): 735-744.
[5] APLIN C A, MACQUAKER H S I. Mudstone diversity: Origin and implications for source, seal, and reservoir properties in petroleum systems[J]. AAPG Bulletin, 2011, 95(12): 2031-2059.
[6] YANG R C, JIN Z J, VAN LOON A J, et al. Climatic and tectonic controls of lacustrine hyperpycnite origination in the Late Triassic Ordos Basin, central China: Implications for unconventional petroleum development[J]. AAPG Bulletin, 2017, 101(1): 95-117.
[7] 贾承造, 邹才能, 李建忠, 等. 中国致密油评价标准、主要类型、基本特征及资源前景[J]. 石油学报, 2012, 33(3): 343-350.
JIA Chengzao, ZOU Caineng, LI Jianzhong, et al. Assessment criteria, main types, basic features and resource prospects of the tight oil in China[J]. Acta Petrolei Sinica, 2012, 33(3): 343-350.
[8] 袁选俊, 林森虎, 刘群, 等. 湖盆细粒沉积特征与富有机质页岩分布模式: 以鄂尔多斯盆地延长组长7油层组为例[J]. 石油勘探与开发, 2015, 42(1): 1-10.
YUAN Xuanjun, LIN Senhu, LIU Qun, et al. Lacustrine fine-grained sedimentary features and organic-rich shale distribution pattern: A case study of Chang 7 Member of Triassic Yanchang Formation in Ordos Basin, NW China[J]. Petroleum Exploration and Development, 2015, 42(1): 1-10.
[9] 赵立翠, 王珊珊, 高旺来, 等. 页岩储层渗透率测量方法研究进展[J]. 断块油气田, 2013, 20(6): 763-767.
ZHAO Licui, WANG Shanshan, GAO Wanglai, et al. Research progress in permeability measurement method of shale gas reservoir[J]. Fault Block Oil & Gas Field, 2013, 20(6): 763-767.
[10] LOUCKS R U, REES R M, RUPPEL S C, et al. Spectrum of pore types and networks in mudrocks and a descriptive classification for matrix-related mudrock pores[J]. AAPG Bulletin, 2012, 96(6): 1071-1098.
[11] 邹才能, 朱如凯, 白斌, 等. 中国油气储层中纳米孔首次发现及其科学价值[J]. 岩石学报, 2011, 27(6): 1857-1864.
ZOU Caineng, ZHU Rukai, BAI Bin, et al. First discovery of nano-pore throat in oil and gas reservoir in China and its scientific value[J]. Acta Petrologica Sinica, 2011, 27(6): 1857-1864.
[12] VAN G M, SWENNEN R. Quantitative 3D-fracture analysis by means of micro-focus X-ray computer tomography(μCT): An example from coal[J]. Geophysical Research Letters, 2001, 28(17): 3333-3336.
[13] 蒲秀刚, 周立宏, 韩文中, 等. 细粒相沉积地质特征与致密油勘探: 以渤海湾盆地沧东凹陷孔店组二段为例[J]. 石油勘探与开发, 2016, 43(1): 24-33.
PU Xiugang, ZHOU Lihong, HAN Wenzhong, et al. Geologic features of fine-grained facies sedimentation and tight oil exploration: A case from the second Member of Paleogene Kongdian Formation of Cangdong sag, Bohai Bay Basin[J]. Petroleum Exploration and Development, 2016, 43(1): 24-33.
[14] 侯庆功, 张晋言. 测井资料采集与评价技术[M]. 北京: 中国石化出版社, 2014.
HOU Qinggong, ZHANG Jinyan. Logging data acquisition and evaluation techniques[M]. Beijing: China Petrochemical Press, 2014.
[15] 田艳, 孙建孟, 王鑫, 等. 利用逐步法和Fisher判别法识别储层岩性[J]. 勘探地球物理进展, 2010, 33(2): 126-130.
TIAN Yan, SUN Jianmeng, WANG Xin, et al. Identifying reservoir lithology by step-by-step method and Fisher discriminant[J]. Progress in Exploration Geophysics, 2010, 33(2): 126-130.
[16] 钟仪华, 李榕. 基于主成分分析的最小二乘支持向量机岩性识别方法[J]. 测井技术, 2009, 33(5): 425-430.
ZHONG Yihua, LI Rong. Application of principal component analysis and least square support vector machine to lithology identification[J]. Well Logging Technology, 2009, 33(5): 425-430.
[17] 杨辉, 黄健全, 胡雪涛, 等. BP神经网络在致密砂岩气藏岩性识别中的应用[J]. 油气地球物理, 2013, 11(1): 39-42.
YANG Hui, HUANG Jianquan, HU Xuetao, et al. Application of BP neural net in lithologic identification of tight sandstone gas reservoirs[J]. Petroleum Geophysics, 2013, 11(1): 39-42.
[18] 赵军, 杨阳, 陈伟中, 等. 基于ECS测井的岩性识别方法[J]. 地球物理学进展, 2015, 30(5): 2342-2348.
ZHAO Jun, YANG Yang, CHEN Weizhong, et al. New method for well logging lithologic identification based on elemental capture spectroscopy[J]. Progress in Geophysics, 2015, 30(5): 2342-2348.
[19] 龚劲松, 杨鸣宇, 王静, 等. ECS 元素测井技术在非常规储层评价中的应用[J]. 油气藏评价与开发, 2014, 4(2): 76-80.
GONG Jinsong, YANG Mingyu, WANG Jing, et al. Application of ECS logging technology in unconventional reservoir evaluation[J]. Reservoir Evaluation and Development, 2014, 4(2): 76-80.
[20] 匡立春, 孙中春, 欧阳敏, 等. 吉木萨尔凹陷芦草沟组复杂岩性致密油储层测井岩性识别[J]. 测井技术, 2013, 37(6): 638-643.
KUANG Lichun, SUN Zhongchun, OUYANG Min, et al. Complication lithology logging identification of the Lucaogou tight oil reservoir in Jimusaer Depression[J]. Well Logging Technology, 2013, 37(6): 638-643.
[21] 李三中, 索艳慧, 周立宏, 等. 华北克拉通内部的拉分盆地: 渤海湾盆地黄骅坳陷结构构造与演化[J]. 吉林大学学报(地球科学版), 2011, 41(5): 1362-1379.
LI Sanzhong, SUO Yanhui, ZHOU Lihong, et al. Pull-apart basins within the north China craton: Structural pattern and evolution of Huanghua Depression in Bohai Bay Basin[J]. Journal of Jilin University (Earth Science Edition), 2011, 41(5): 1362-1379.
[22] 任建业, 廖前进, 卢刚臣, 等. 黄骅坳陷构造变形格局与演化过程分析[J]. 大地构造与成矿学, 2010, 34(4): 461-472.
REN Jianye, LIAO Qianjin, LU Gangchen, et al. Deformation framework and evolution of Huanghua Depression, Bohai Gulf[J]. Geotectonica et Metallogenia, 2010, 34(4): 461-472.
[23] 李明刚, 杨桥, 张健. 黄骅拗陷新生代构造样式及其演化[J]. 西南石油大学学报(自然科学版), 2011, 33(1): 71-78.
LI Minggang, YANG Qiao, ZHANG Jian. The Cenozoic structural style and its evolution in Huanghua Depression[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2011, 33(1): 71-78.
[24] 蒲秀刚, 韩文中, 周立宏, 等. 黄骅坳陷沧东凹陷孔二段高位域细粒相区岩性特征及地质意义[J]. 中国石油勘探, 2015, 20(5): 30-40.
PU Xiugang, HAN Wenzhong, ZHOU Lihong, et al. Lithologic characteristic and its implication of HST in fine-grained sediment developed area of SQEk2 in Qikou Sag, Huanghua Depression[J]. China Petroleum Exploration, 2015, 20(5): 30-40.
[25] 国家质量技术监督局. 沉积岩岩石分类和命名方案: GB/T 17412.2—1998[S]. 北京: 中国标准出版社, 1998.
The State Bureau of Quality and Technical Supervision. Classification and nomenclature schemes of the rocks: GB/T 17412.2-1998[S]. Beijing: Standards Press of China, 1998.