1. School of Energy Resource, China University of Geosciences(Beijing), Beijing 100083, China; 2. Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Enrichment Mechanism, Ministry of Education, Beijing 100083, China; 3. Tianjin Branch, CNOOC, Tianjin 300452, China
Abstract：The prediction of TOC in source rocks in marginal sags with conventional logging and seismic attributes is often unreliable due to its strata fast change and strong heterogeneity.To solve this problem, we propose a novel prediction approach.This is a ternary quadratic least square TOC prediction based on resistivity, acoustic moveout, density logging data, and measured TOC data.We apply this approach to the northeastern sag in Laizhou Bay, Bohai Bay Basin, and achieve good results.This approach has two advantages.First original test-data direct fitting eliminates the human error during baseline picking and LOM value selection.Secondly the density involved in the prediction can constraint the response of organic matters on well logging data.According to our prediction, a high TOC value belt distributes in the center of the sag in the early deposition.Due to tectonic migration and uplift in the later period the this belt diffuses to the periphery and the high value decreases and disappears.The TOC spatial distribution is characterized by the gradual decrease from old to new strata.Based on the prediction, Es3 is the main source rock.
赵子斌, 侯读杰, 程熊, 代峰, 董立成, 徐长贵. 边缘凹陷烃源岩有机质丰度曲面预测法——以渤海湾盆地莱州湾东北洼为例[J]. 石油地球物理勘探, 2018, 53(2): 347-354.
Zhao Zibin, Hou Dujie, Cheng Xiong, Dai Feng, Dong Licheng, Xu Changgui. A fitting prediction method of TOC in source rocks in a marginal sag: A case study of northeastern sag in Laizhou Bay,Bohai Bay Basin. Oil Geophysical Prospecting, 2018, 53(2): 347-354.
王贵文,朱振宇,朱广宇.烃源岩测井识别与评价方法研究.石油勘探与开发,2002,29(4):50-52.Wang Guiwen,Zhu Zhenyu,Zhu Guangyu.Logging identification and evaluation of Cambrian-Ordovician source rocks in syneclise of Tarim basin.Petroleum Exploration and Development,2002,29(4):50-52.
[2]
Meyer B L,Nederlof M H.Identification of source rocks on wireline logs by density/resistivity and sonic transit time/resistivity cross plots.AAPG Bulletin,1984,68(2):121-129.
[3]
Fertl W H,Chilingar G V.Total organic carbon content determined from well logs.SPE Formation Eva-luation,1988,3(2):407-419.
[4]
王鹂,唐成磊,王飞.ΔlogR技术在烃源岩评价中的应用.断块油气田,2009,16(2):52-54.Wang Li,Tang Chenglei,Wang Fei.Application of ΔlogR technology in hydrocarbon source rocks evaluation.Fault-Block Oil & Gas Field,2009,16(2):52-54.
[5]
Herron S L.Total organic carbon log for source rock evaluation.Log Analyst,1987,28(6):520-527.
[6]
Herron S L,Letendre L,Dufour M.Source rock evaluation using geochemical information from wireline logs and cores.AAPG Bulletin,1988,72(8):1007.
[7]
Passey Q R,Creaney S,Kulla J B et al.A practical model for organic richness from porosity and resistivity logs.AAPG Bulletin,1990,74(12):1777-1794.
[8]
张志伟,张龙海.测井评价烃源岩的方法及其应用效果.石油勘探与开发,2000,27(3):84-87.Zhang Zhiwei,Zhang Longhai.A method of source rock evaluation by well logging and its application result.Petroleum Exploration and Development,2000,27(3):84-87.
[9]
朱振宇,刘洪,李幼铭.ΔlogR技术在烃源岩识别中的应用与分析.地球物理学进展,2003,18(4):647-649.Zhu Zhenyu,Liu Hong,Li Youming.The analysis and application of ΔlogR method in the source rock's identification.Progress in Geophysics,2003,18(4):647-649.
[10]
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.天然气地球科学,2013,24(2):414-422.Yang Taotao,Fan Guozhang,Lv Fuliang et al.The logging features and identification methods of source rocks.Natural Gas Geoscience,2013,24(2):414-422.
[11]
刘一茗,叶加仁,曹强等.西藏伦坡拉盆地古近系牛堡组烃源岩预测与评价.地球科学——中国地质大学学报,2017,42(4):601-612.Liu Yiming,Ye Jiaren,Cao Qiang et al.Preliminary prediction and evaluation of source rocks in the Lunpola Basin,Tibet,China.Earth Science-Journal of China University of Geosciences,2017,42(4):601-612.
[12]
赵彦超,马正,姚光庆.Waxman-Smith方程在生油岩评价中的应用:重叠法和双孔隙度法.地球科学——中国地质大学学报,1995,20(3):306-313.Zhao Yanchao,Ma Zheng,Yao Guangqing.Using Waxman-Smith equation to evaluate source rock:overplay and dual porosity methods.Earth Science-Journal of China University of Geosciences,1995,20(3):306-313.
[13]
匡立春,毛志强,孙中春等.基于新技术的油气藏测井综合评价.石油勘探与开发,2003,30(2):58-60.Kuang Lichun,Mao Zhiqiang,Sun Zhongchun et al.Reservoir synthetic evaluation based on new logging technology.Petroleum Exploration and Development,2003,30(2):58-60.
[14]
王健,石万忠,舒志国等.富有机质页岩TOC含量的地球物理定量化预测.石油地球物理勘探,2016,51(3):596-604.Wang Jian,Shi Wanzhong,Shu Zhiguo et al.TOC content quantitative prediction in organic-rich shale.OGP,2016,51(3):596-604.
刘超,卢双舫,黄文彪等.ΔlogR技术改进及其在烃源岩评价中的应用.大庆石油地质与开发,2011,30(3):27-31.Liu Chao,Lu Shuangfang,Huang Wenbiao et al.ΔlogR technique:Improvement and its application in source rocks evaluation.Petroleum Geology & Oilfield Development in Daqing,2011b,30(3):27-31.
[17]
刘超,卢双舫,薛海涛等.变系数ΔlogR方法及其在泥页岩有机质评价中的应用.地球物理学进展,2014,29(1):312-317.Liu Chao,Lu Shuangfang,Xue Haitao.Variable-cofficient ΔlogR model and its application in shale organic evaluation.Progress in Geophysics,2014,29(1):312-317.
[18]
刘超,印长海,卢双舫.变系数ΔlogR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,2015,26(10):1925-1931.Liu Chao,Yin Changhai,Lu Shuangfang.Predicting key parameters for variable-coefficient ΔlogR logging technique and its application in source rocks evaluation.Natural Gas Geoscience,2015,26(10):1925-1931.
[19]
饶松,朱传庆,廖宗宝等.利用自然伽马测井计算准噶尔盆地沉积层生热率及其热流贡献.地球物理学报,2014,57(5):1554-1567.Rao Song,Zhu Chuanqing,Liao Zongbao et al.Heat production rate and heat flow contribution of the sedimentary formation in Junggar Basin,northwest China.Chinese Journal of Geophysics,2014,57(5):1554-1567.
[20]
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.测井技术,2003,27(2):104-109.Zhu Guangyou,Jin Qiang,Zhang Linye.Using log information to analyze the geochemical characteristics of source rocks in Jiyang Depression.Well Logging Technology,2003,27(2):104-109.
[21]
胡慧婷,卢双舫,刘超等.测井资料计算源岩有机碳含量模型对比及分析.沉积学报,2011,29(6):1199-1205.Hu Huiting,Lu Shuangfang,Liu Chao et al.Models for calculating organic carbon content from logging information:comparison and analysis.Acta Sedimentologica Sinica,2011,29(6):1199-1205.
[22]
陈贵科,李民,谭必生等.牛庄洼陷烃源岩TOC新型测井多参数复合评价方法研究.地球物理学进展,2017,32(1):0114-0119.Chen Guike,Li Min,Tan Bisheng et al.Study of multi-parameter well-logging evaluation on TOC value of source rock in Niuzhuang Sag.Process in Geophy-sics,2017,32(1):114-119.
金吉能,潘仁芳,王鹏等.地震多属性反演预测页岩总有机碳含量.石油天然气学报,2012,34(11):68-72.Jin Ji'neng,Pan Renfang,Wang Peng et al.Prediction of total organic carbon content of shale using seismic multi-attribute inversion.Journal of Oil and Gas Technology,2012,34(11):68-72.
[25]
刘军,汪瑞良,舒誉等.烃源岩TOC地球物理定量预测新技术及在珠江口盆地的应用.成都理工大学学报(自然科学版),2012,39(4):415-419.Liu Jun,Wang Ruiliang,Shu Yu et al.Geophysical quantitative prediction technology on TOC in source rocks and its application in Pearl River Mouth Basin,China.Journal of Chengdu University of Technology(Science & Technology Edition),2012,39(4):415-419.
[26]
许杰,何治亮,董宁等.含气页岩有机碳含量地球物理预测.石油地球物理勘探,2013,48(增刊1):64-68.Xu Jie,He Zhiliang,Dong Ning et al.TOC prediction of gas-bearing shale with geophysical methods.OGP,2013,48(S1):64-68.
[27]
李松峰,徐思煌,薛罗等.稀井区烃源岩有机碳的地球物理预测方法——珠江口盆地恩平凹陷恩平组烃源岩勘探实例.石油地球物理勘探,2014,49(2):369-374.Li Songfeng,Xu Sihuang,Xue Luo et al.Source rock organic carbon prediction with geophysical approach in the sparsely-drilled area:a case study of Enping Depression,the Pearl Mouth Basin.OGP,2014,49(2):369-374.
[28]
郭旭升,尹正武,李金磊.海相页岩含气量地震定量预测技术及其应用——以四川盆地焦石坝地区为例.石油地球物理勘探,2015,50(1):144-149.Guo Xusheng,Yin Zhengwu,Li Jinlei.Quantitative seismic prediction of marine shale gas content:a case study in Jiaoshiba area,Sichuan basin.OGP,2015,50(1):144-149.
[29]
牛聪,刘志斌,王彦春等.应用地球物理技术定量评价辽西凹陷沙河街组烃源岩.石油地球物理勘探,2017,52(1):131-137.Niu Cong,Liu Zhibin,Wang Yanchun et al.Using geophysical technique to evaluate source rock of Shahejie formation in Liaoxi sag quantitatively.OGP,2017,52(1):131-137.
Fertl W H,Rieke H H.Gamma ray spectral evaluation techniques identify fractured shale reservoirs and source rock characterics.Journal of Petroleum Technology,1980,31(11):2053-2062.
[32]
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.石油天然气学报,2009,31(4):50-52.Yuan Dongshan,Wang Guobin,Tang Zening et al.Methods for evaluating source rocks by well-logging data and its progress.Journal of Oil and Gas Technology,2009,31(4):50-52.
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.石油实验地质,2010,32(3):290-300.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.Petroleum Geology & Experiment,2010,32(3):290-300.
