Optimization of TOC well logging prediction models and their application to source rock evaluation in the Shanan Sag of Bohai Sea

XU Shikun; YE Jiaren; YANG Baolin; ZHAO Niubin

doi:10.16562/j.cnki.0256-1492.2019092901

2020 Vol. 40, No. 5

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Article navigation > Marine Geology & Quaternary Geology > 2020 > 40(5): 182-191

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XU Shikun, YE Jiaren, YANG Baolin, ZHAO Niubin. Optimization of TOC well logging prediction models and their application to source rock evaluation in the Shanan Sag of Bohai Sea[J]. Marine Geology & Quaternary Geology, 2020, 40(5): 182-191. doi: 10.16562/j.cnki.0256-1492.2019092901

Citation:

XU Shikun, YE Jiaren, YANG Baolin, ZHAO Niubin. Optimization of TOC well logging prediction models and their application to source rock evaluation in the Shanan Sag of Bohai Sea[J]. Marine Geology & Quaternary Geology, 2020, 40(5): 182-191. doi: 10.16562/j.cnki.0256-1492.2019092901

Optimization of TOC well logging prediction models and their application to source rock evaluation in the Shanan Sag of Bohai Sea

Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences (Wuhan), Wuhan 430074, China

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Corresponding author: YE Jiaren, jrye@cug.edu.cn

Received Date: 29 September 2019

Revised Date: 18 April 2020

Publish Date: 25 October 2020

Abstract

Abstract

Oil and gas exploration degree of the Shanan Sag of the Bohai Basin is relatively low due to lack of drilling cores and source rock samples. TOC logging prediction models for source rocks are established in this paper for the Members of E₃d₃、E₃s₁₊₂、E₂s₃ by the multiple linear regression method and the improved ΔlgR method based on the logging data and limited measured TOC data of the mudstone samples collected from six single wells. After comparison and optimization, it is found that both the improved ΔlgR method and the four- parameter linear regression method are effective to predict the TOC vertical distribution pattern of the lacustrine source rocks in single wells in the Sag and the improved ΔlgR method is obviously more efficient. Therefore, predicted TOC curve of improved ΔlgR is selected to evaluate the source rocks for two representative single wells. The result shows that the E₂s₃ is characterized by high ratio of source rocks, high TOC content and large thickness of high-quality source rocks. It is the main source rock of the study area and the Shanan sag must have good prospect for oil and gas exploration. The research results are helpful to the evaluation of source rocks in the Shanan sag and will provide solid scientific basis for further understanding of oil and gas exploration potential in the study area.
- source rocks /
- organic carbon content /
- logging evaluation /
- Shanan Sag

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References

[1]	袁东山, 王国斌, 汤泽宁, 等. 测井资料评价烃源岩方法及其进展[J]. 石油天然气学报, 2009, 31(4):192-194 doi: 10.3969/j.issn.1000-9752.2009.04.046 CrossRef Google Scholar YUAN Dongshan, WANG Guobin, TANG zening, et al. Methods for evaluating source rocks by well-logging data and its progress [J]. Journal of Oil and Gas Technology, 2009, 31(4): 192-194. doi: 10.3969/j.issn.1000-9752.2009.04.046 CrossRef Google Scholar
[2]	李延钧, 张烈辉, 冯媛媛, 等. 页岩有机碳含量测井评价方法及其应用[J]. 天然气地球科学, 2013, 24(1):169-175 Google Scholar LI Yanjun, ZHANG Liehui, FENG Yuanyuan, et al. Logging evaluation method and its application for measuring the total organic carbon content in shale gas [J]. Natural Gas Geoscience, 2013, 24(1): 169-175. Google Scholar
[3]	刘超. 测井资料评价烃源岩方法改进及作用[D]. 大庆: 东北石油大学, 2011. Google Scholar LIU Chao. Evaluating source rock using logging data—Improvement and application [D]. Daqing: Northeast Petroleum University, 2011. Google Scholar
[4]	袁彩萍, 徐思煌, 薛罗. 珠江口盆地惠州凹陷主力烃源岩测井预测及评价[J]. 石油实验地质, 2014, 36(1):110-116 doi: 10.11781/sysydz201401110 CrossRef Google Scholar YUAN Caiping, XU Sihuang, XUE Luo. Prediction and evaluation with logging of main source rocks in Huizhou Sag, Pearl River Mouth Basin [J]. Petroleum Geology & Experiment, 2014, 36(1): 110-116. doi: 10.11781/sysydz201401110 CrossRef Google Scholar
[5]	李松峰, 毕建霞, 曾正清, 等. 普光地区须家河组烃源岩地球物理预测[J]. 断块油气田, 2015, 22(6):705-710 Google Scholar LI Songfeng, BI Jianxia, ZENG Zhengqing, et al. Geophysical prediction of source rock of Xujiahe Formation in Puguang area [J]. Fault-Block Oil & Gas Field, 2015, 22(6): 705-710. Google Scholar
[6]	黄薇, 张小莉, 李浩, 等. 鄂尔多斯盆地中南部延长组7段页岩有机碳含量解释模型[J]. 石油学报, 2015, 36(12):1508-1515 doi: 10.7623/syxb201512005 CrossRef Google Scholar HUANG Wei, ZHANG Xiaoli, LI Hao, et al. Interpretation model of organic carbon content of shale in Member 7 of Yanchang Formation, central-southern Ordos Basin [J]. Acta Petrolei Sinica, 2015, 36(12): 1508-1515. doi: 10.7623/syxb201512005 CrossRef Google Scholar
[7]	Passey Q R, Creaney S. A practical model for organic richness from porosity and resistivity logs [J]. AAPG Bulletin, 1990, 74(12): 1777-1794. Google Scholar
[8]	Huang Z, Williamson M A. Artificial neural network modelling as an aid to source rock characterization [J]. Marine and Petroleum Geology, 1996, 13(2): 277-290. doi: 10.1016/0264-8172(95)00062-3 CrossRef Google Scholar
[9]	孟召平, 郭彦省, 刘尉. 页岩气储层有机碳含量与测井参数的关系及预测模型[J]. 煤炭学报, 2015, 40(2):247-253 Google Scholar MENG Zhaoping, GUO Yansheng, LIU Wei. Relationship between organic carbon content of shale gas reservoir and logging parameters and its prediction model [J]. Journal of China Coal Society, 2015, 40(2): 247-253. Google Scholar
[10]	贺聪, 苏奥, 张明震, 等. 鄂尔多斯盆地延长组烃源岩有机碳含量测井预测方法优选及应用[J]. 天然气地球科学, 2016, 27(4):754-764 doi: 10.11764/j.issn.1672-1926.2016.04.0754 CrossRef Google Scholar HE Cong, SU Ao, ZHANG Mingzhen, et al. Optimal selection and application of prediction means for organic carbon content of source rocks based on logging data in Yanchang Formation, Ordos Basin [J]. Natural Gas Geoscience, 2016, 27(4): 754-764. doi: 10.11764/j.issn.1672-1926.2016.04.0754 CrossRef Google Scholar
[11]	Kamali M R, Mirshady A A. Total organic carbon content determined from well logs using delta log and neuro fuzzy techniques [J]. Journal of Petroleum Science and Engineering, 2004, 46(3): 141-148. Google Scholar
[12]	陈丽祥, 周晓光, 付鑫, 等. 渤海湾盆地沙南凹陷东次洼孔店组生烃潜能评价[J]. 石油地质与工程, 2018, 32(4):42-45 doi: 10.3969/j.issn.1673-8217.2018.04.010 CrossRef Google Scholar CHEN Lixiang, ZHOU Xiaoguang, FU Xin, et al. Hydrocarbon potential evaluation of Kongdian formation in Shannan sag, Bohaiwan basin [J]. Petroleum Geology and Engineering, 2018, 32(4): 42-45. doi: 10.3969/j.issn.1673-8217.2018.04.010 CrossRef Google Scholar
[13]	李宏义, 吴克强, 刘丽芳, 等. 沙南凹陷构造演化的“跷跷板”效应与油气评价新认识[J]. 中国海上油气, 2011, 23(4):225-228 doi: 10.3969/j.issn.1673-1506.2011.04.003 CrossRef Google Scholar LI Hongyi, WU Keqiang, LIU Lifang, et al. A "Seesaw" effect of structural evolution and some new cognition in hydrocarbon evaluation in Shanan sag, Bohai Sea [J]. China Offshore Oil and Gas, 2011, 23(4): 225-228. doi: 10.3969/j.issn.1673-1506.2011.04.003 CrossRef Google Scholar
[14]	石文龙, 李慧勇, 茆利, 等. 沙南凹陷西洼成藏主控因素及有利勘探区带[J]. 断块油气田, 2015, 22(2):137-141 Google Scholar SHI Wenlong, LI Huiyong, MAO Li, et al. Main controlling factors of hydrocarbon accumulation and favorable exploration zone in West Shanan Sag [J]. Fault-Block Oil & Gas Field, 2015, 22(2): 137-141. Google Scholar
[15]	王贵文, 朱振宇, 朱广宇. 烃源岩测井识别与评价方法研究[J]. 石油勘探与开发, 2002, 29(4):50-52 doi: 10.3321/j.issn:1000-0747.2002.04.015 CrossRef Google Scholar WANG Guiwen, ZHU Zhenyu, ZHU Guangyu. Logging identification and evaluation of Cambrian-Ordovician source rocks in syneclise of Tarim basin [J]. Petroleum Exploration and Development, 2002, 29(4): 50-52. doi: 10.3321/j.issn:1000-0747.2002.04.015 CrossRef Google Scholar
[16]	杨涛涛, 范国章, 吕福亮, 等. 烃源岩测井响应特征及识别评价方法[J]. 天然气地球科学, 2013, 4(2):414-422 Google Scholar YANG Taotao, FAN Guozhang, LV Fuliang, et al. The logging features and identification methods of source rock [J]. Natural Gas Geoscience, 2013, 4(2): 414-422. Google Scholar
[17]	Herron S, Letendre L, Dufour M. Source rock evaluation using geochemical information from wireline logs and cores [J]. AAPG Bulletin, 1988, 72(8): 1007. Google Scholar
[18]	Luffel D L, Guidry F K, Curtis J B. Evaluation of Devonian shale with new core and log analysis-methods [J]. Journal of Petroleum Technology, 1992, 44(11): 1192-1197. doi: 10.2118/21297-PA CrossRef Google Scholar
[19]	刘新颖, 邓宏文, 邸永香, 等. 海拉尔盆地乌尔逊凹陷南屯组优质烃源岩发育特征[J]. 石油实验地质, 2009, 31(1):68-73 doi: 10.3969/j.issn.1001-6112.2009.01.013 CrossRef Google Scholar LIU Xinying, DENG Hongwen, DI Yongxiang, et al. High-quality source rocks of Nantun formation in Wuerxun depression, the Hailaer basin [J]. Petroleum Geology & Experiment, 2009, 31(1): 68-73. doi: 10.3969/j.issn.1001-6112.2009.01.013 CrossRef Google Scholar
[20]	徐思煌, 朱义清. 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[J]. 石油实验地质, 2010, 32(3):290-295 doi: 10.3969/j.issn.1001-6112.2010.03.017 CrossRef Google Scholar XU Sihuang, ZHU Yiqing. Well logs response and prediction model of organic carbon content in source rocks—a case study from the source rock of Wenchang formation in the Pearl mouth basin [J]. Petroleum Geology & Experiment, 2010, 32(3): 290-295. doi: 10.3969/j.issn.1001-6112.2010.03.017 CrossRef Google Scholar
[21]	朱光有, 金强, 张林晔. 用测井信息获取烃源岩的地球化学参数研究[J]. 测井技术, 2003, 27(2):104-109 doi: 10.3969/j.issn.1004-1338.2003.02.004 CrossRef Google Scholar ZHU Guangyou, JIN Qiang, ZHANG Linye. Using log information to analyse the geochemical characteristics of source rocks in Jiyang Depression [J]. Well Logging Technology, 2003, 27(2): 104-109. doi: 10.3969/j.issn.1004-1338.2003.02.004 CrossRef Google Scholar
[22]	张寒, 朱光有. 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[J]. 石油勘探与开发, 2007, 34(1):55-59 doi: 10.3321/j.issn:1000-0747.2007.01.011 CrossRef Google Scholar ZHANG Han, ZHU Guangyou. Using seismic and log information to predict and evaluate hydrocarbon source rocks: An example from rich oil depressions in Bohai Bay [J]. Petroleum Exploration and Development, 2007, 34(1): 55-59. doi: 10.3321/j.issn:1000-0747.2007.01.011 CrossRef Google Scholar
[23]	侯读杰, 张善文, 肖建新, 等. 陆相断陷湖盆优质烃源岩形成机制与成藏贡献: 以济阳坳陷为例[M]. 北京: 地质出版社, 2008. Google Scholar HOU Dujie, ZHANG Shanwen, XIAO Jianxin, et al. The Formation Mechanism of High Quality Source Rocks and Their Contribution to Hydrocarbon Accumulation in The Continental Faulted Lake Basin: A Case Study of Jiyang Depression [M]. Beijing: Geological Press, 2008. Google Scholar
[24]	李建平, 周心怀, 吕丁友. 渤海海域古近系三角洲沉积体系分布与演化规律[J]. 中国海上油气, 2011, 23(5):293-298 doi: 10.3969/j.issn.1673-1506.2011.05.002 CrossRef Google Scholar LI Jianping, ZHOU Xinhuai, LV Dingyou. Distribution and evolution of Paleogene delta systems in Bohai Sea [J]. China Offshore Oil and Gas, 2011, 23(5): 293-298. doi: 10.3969/j.issn.1673-1506.2011.05.002 CrossRef Google Scholar