变系数ΔLgR烃源岩测井评价技术关键参数厘定方法及应用
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摘要
针对当前变系数ΔLgR烃源岩测井评价技术的关键参数主要通过经验确定,存在缺乏客观性、定量预测方法不足等问题,研究该技术内关键系数(k和a)的"外推性",建立利用单井资料预测关键系数的方法。基于松辽盆地白垩系主要烃源岩层的测井和TOC分析数据,通过对比关键系数在稳定沉积地层和断陷复杂地层的外推效果发现,后者导致的TOC误差偏大,有必要研究针对单井的k值和a值的预测方法。建立了利用单井"声波时差—电阻率"交会预测k值的方法,预测结果的可信度可达到81%以上;建立了利用烃源岩厚度、成熟度和幅度差值计算系数a的公式,预测结果的可信度超过80%。该方法对沉积稳定地层和复杂地层都适用,可比目前外推方法误差降低10%以上。
For the present,key parameters in Variable-coefficientΔLgRlogging technique are estimated by experience,lacking of quantitative predicting method.To solve this problem,extrapolation effects of the key parameters(kand a)in this technique were studied,and practical methods for calculating key parameters using single well data were brought forward.Based on the TOCand well logging curves of Cretaceous stratus in the Songliao Basin,it is found that calculation of TOCvalue using other wells′key parameters cannot always get satisfied results,especially in the complex strata in which TOCerrors often became so great that it is necessary to calculate the key parameters according to single well.Practical methods for predicting key parameters were established,"k"was predicted form the slope of interval transit time versus resistivity,the predicting error is less than 19%;"a"was calculated from the averaged value of shale thickness,Ro andΔLgR,with the predicting error is less than 20%.Methods in this paper are suitable for both stable and complex formations,but more effective and necessary for complex formations,and TOCprediction errors can be reduced over 10% compared with traditional method.Methods in this paper provided a foothold for the further application of Variable-coefficientΔLgRtechnology in TOCevaluation of source rock,especially in complex formations.
For the present,key parameters in Variable-coefficientΔLgRlogging technique are estimated by experience,lacking of quantitative predicting method.To solve this problem,extrapolation effects of the key parameters(kand a)in this technique were studied,and practical methods for calculating key parameters using single well data were brought forward.Based on the TOCand well logging curves of Cretaceous stratus in the Songliao Basin,it is found that calculation of TOCvalue using other wells′key parameters cannot always get satisfied results,especially in the complex strata in which TOCerrors often became so great that it is necessary to calculate the key parameters according to single well.Practical methods for predicting key parameters were established,"k"was predicted form the slope of interval transit time versus resistivity,the predicting error is less than 19%;"a"was calculated from the averaged value of shale thickness,Ro andΔLgR,with the predicting error is less than 20%.Methods in this paper are suitable for both stable and complex formations,but more effective and necessary for complex formations,and TOCprediction errors can be reduced over 10% compared with traditional method.Methods in this paper provided a foothold for the further application of Variable-coefficientΔLgRtechnology in TOCevaluation of source rock,especially in complex formations.
引文
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[8]Guo Zeqing,Sun Ping,Liu Weihong.The carbon calculation byΔLogRtechnology in Sanhu area of Qaidam Basin[J].Progress in Geophysics,2012,27(2):626-633.[郭泽清,孙平,刘卫红.利用ΔLogR技术计算柴达木盆地三湖地区第四系有机碳[J].地球物理学进展,2012,27(2):626-633.]
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[13]Lu Shuangfang,Huang Wenbiao,Chen Fangwen,et al.Classification and evaluation criteria of shale oil and gas resources:Discussion and application[J].Petroleum Exploration and Development,2012,39(2):249-256.[卢双舫,黄文彪,陈方文,等.页岩油气资源分级评价标准探讨[J].石油勘探与开发,2012,39(2):249-256.]
[14]Zhu Guangyou,Jin Qiang,Zhang Linye.Using log information to analyze the geochemical characteristics of source rocks in Jiyang Depression[J].Well Logging Technology,2003,27(2):104-109.[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.]
[15]Hu Huiting,Lu Shuangfang,Liu Chao,et al.Models for calculating organic carbon content from logging information:Comparison and analysis[J].Acta Sedimentologica Sinica,2011,29(6):1199-1205.[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[J].沉积学报,2011,29(6):1199-1205.]
[16]Liu Chao.Evaluating Source Rock Using Logging Data Improvement and Application[D].Daqing:Northeast Petroleum University,2011:15-21.[刘超.测井资料评价烃源岩方法改进及应用[D].大庆:东北石油大学,2011:15-21.]
[17]Liu Chao,Lu Shuangfang,Huang Wenbiao,et al.ΔLgRtechnique:Improvement and its application in source rocks evaluation[J].Petroleum Geology&Oilfield Development in Daqing,2011,30(3):27-31.[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[J].大庆石油地质与开发,2011,30(3):27-31.]
[18]Liu Chao,Lu Shuangfang,Xue Haitao.Variable-coefficientΔLogR model and its application in shale organic evaluation[J].Progress in Geophysics,2014,29(1):312-317.[刘超,卢双舫,薛海涛.变系数ΔLogR方法及其在泥页岩有机质评价中的应用[J].地球物理学进展,2014,29(1):312-317.]
[19]Passey Q R,Creaney S,Kulla J B.A practical model for organic richness from porosity and resistivity logs[J].AAPG Bulletin,1990,74(5):1777-1794.
[20]Katz B J,Pratt L M.Source rocks in a stratigraphic framework[J].AAPG Studies in Geology,1993,37:1-247.
[21]Zhao Yande,Liu Luofu,Zhang Zhihuan,et al.Distribution and hydrocarbon generation of the Eogene Source rocks in a sequence stratigraphic framework in the Nanpu Sag,Bohai Bay Basin[J].Acta Sedimentologica Sinica,2008,26(6):1077-1085.[赵彦德,刘洛夫,张枝焕,等.南堡凹陷古近系层序地层格架中烃源岩分布与生烃特征研究[J].沉积学报,2008,26(6):1077-1085.]
[22]Wei Xiangfeng,Zhang Tingshan,Wei Xianghua,et al.Paleogene sequence stratigraphy and source-reservoir-cap rock assemblage in Baiju Sag[J].Natural Gas Geoscience,2011,22(4):675-683.[魏祥峰,张廷山,魏祥华,等.苏北盆地白驹凹陷古近系层序地层及生储盖组合分析[J].天然气地球科学,2011,22(4):675-683.]
[23]Wang Min,Lu Shuangfang,Xue Haitao,et al.The effects of magmatic intrusions on the maturation of organic matter and its numerical simulation[J].Acta Petrologica Sinica,2010,26(1):177-184.[王民,卢双舫,薛海涛,等.岩浆侵入体对有机质生烃(成熟)作用的影响及数值模拟[J].岩石学报,2010,26(1):177-184.]
[2]Zhu Zhenyu,Liu Hong,Li Youming.The analysis and application ofΔLogR method in the source rock′s identification[J].Progress in Geophysics,2003,18(4):647-649.[朱振宇,刘洪,李幼铭.ΔLogR技术在烃源岩识别中的应用与分析[J].地球物理学进展,2003,18(4):647-649.]
[3]Yang Taotao,Fan Guozhang,Lv Fuliang,et al.The logging features and identification methods of source rocks[J].Natural Gas Geoscience,2013,24(2):414-422.[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,2013,24(2):414-422.]
[4]Jin Tao,Gao Risheng,Gao Caixia,et al.Suggestion of exploration prospect in Raoyang Sag of Jizhong Depression from the logging evaluation results of source rock[J].Natural Gas Geoscience,2010,21(3):406-412.[金涛,高日胜,高彩霞,等.从烃源岩测井评价结果看冀中坳陷饶阳凹陷勘探前景[J].天然气地球科学,2010,21(3):406-412.]
[5]Gao Yang.Salt lake source rock evaluation by logging data[J].Acta Sedimentologica Sinica,2013,31(4):730-737.[高阳.利用测井信息评价盐湖相烃源岩[J].沉积学报,2013,31(4):730-737.]
[6]Tang Lina.Well logging evaluation of source rock and its application in Bohai Bay oil exploitation[J].Science&Technology,2011,29(21):51-54.[汤丽娜.烃源岩测井识别在渤海湾石油开发中的应用[J].科技导报,2011,29(21):51-54.]
[7]He Junling,Deng Shouwei,Chen Wenlong,et al.Evaluation of oil shale in the southern Songliao Basin using logging techniques[J].Journal of Jilin University:Earth Science Edition,2006,36(6):909-914.[贺君玲,邓守伟,陈文龙,等.利用测井技术评价松辽盆地南部油页岩[J].吉林大学学报:地球科学版,2006,36(6):909-914.]
[8]Guo Zeqing,Sun Ping,Liu Weihong.The carbon calculation byΔLogRtechnology in Sanhu area of Qaidam Basin[J].Progress in Geophysics,2012,27(2):626-633.[郭泽清,孙平,刘卫红.利用ΔLogR技术计算柴达木盆地三湖地区第四系有机碳[J].地球物理学进展,2012,27(2):626-633.]
[9]Wang Zongli,Li Jun,Luo Qiang,et al.Fine evaluation of source rock with logging data in Langgu Sag of Jizhong Depression[J].Natural Gas Geoscience,2012,23(3):430-437.[王宗礼,李君,罗强,等.利用测井资料精细评价冀中坳陷廊固凹陷烃源岩[J].天然气地球科学,2012,23(3):430-437.]
[10]Yang Shaochun,Wang Na,Li Mingrui,et al.The logging evaluation of source rocks of Triassic Yanchang Formation in Chongxin area,Ordos Basin[J].Natural Gas Geoscience,2013,24(3):470-476.[杨少春,王娜,李明瑞,等.鄂尔多斯盆地崇信地区三叠系延长组烃源岩测井评价[J].天然气地球科学,2013,24(3):470-476.]
[11]Wang Zhensheng,Hua Shuangjun,Yu Xuemin,et al.Grading evaluation and high quality source rock distribution in Qikou Sag[J].Natural Gas Geoscience,2014,25(12):1896-1902.[王振升,滑双君,于学敏,等.歧口凹陷沙河街组烃源岩分级评价及优质烃源岩分布[J].天然气地球科学,2014,25(12):1896-1902.]
[12]Lu Shuangfang,Ma Yanling,Cao Ruicheng,et al.Evaluation criteria of high-quality source rocks and its applications:Taking the Wuerxun Sag in Hailaer Basin as an example[J].Earth Science:Journal of China University of Geocsiences,2012,37(3):535-544.[卢双舫,马延伶,曹瑞成,等.优质烃源岩评价标准及其应用:以海拉尔盆地乌尔逊凹陷为例[J].地球科学:中国地质大学学报,2012,37(3):535-544.]
[13]Lu Shuangfang,Huang Wenbiao,Chen Fangwen,et al.Classification and evaluation criteria of shale oil and gas resources:Discussion and application[J].Petroleum Exploration and Development,2012,39(2):249-256.[卢双舫,黄文彪,陈方文,等.页岩油气资源分级评价标准探讨[J].石油勘探与开发,2012,39(2):249-256.]
[14]Zhu Guangyou,Jin Qiang,Zhang Linye.Using log information to analyze the geochemical characteristics of source rocks in Jiyang Depression[J].Well Logging Technology,2003,27(2):104-109.[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.]
[15]Hu Huiting,Lu Shuangfang,Liu Chao,et al.Models for calculating organic carbon content from logging information:Comparison and analysis[J].Acta Sedimentologica Sinica,2011,29(6):1199-1205.[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[J].沉积学报,2011,29(6):1199-1205.]
[16]Liu Chao.Evaluating Source Rock Using Logging Data Improvement and Application[D].Daqing:Northeast Petroleum University,2011:15-21.[刘超.测井资料评价烃源岩方法改进及应用[D].大庆:东北石油大学,2011:15-21.]
[17]Liu Chao,Lu Shuangfang,Huang Wenbiao,et al.ΔLgRtechnique:Improvement and its application in source rocks evaluation[J].Petroleum Geology&Oilfield Development in Daqing,2011,30(3):27-31.[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[J].大庆石油地质与开发,2011,30(3):27-31.]
[18]Liu Chao,Lu Shuangfang,Xue Haitao.Variable-coefficientΔLogR model and its application in shale organic evaluation[J].Progress in Geophysics,2014,29(1):312-317.[刘超,卢双舫,薛海涛.变系数ΔLogR方法及其在泥页岩有机质评价中的应用[J].地球物理学进展,2014,29(1):312-317.]
[19]Passey Q R,Creaney S,Kulla J B.A practical model for organic richness from porosity and resistivity logs[J].AAPG Bulletin,1990,74(5):1777-1794.
[20]Katz B J,Pratt L M.Source rocks in a stratigraphic framework[J].AAPG Studies in Geology,1993,37:1-247.
[21]Zhao Yande,Liu Luofu,Zhang Zhihuan,et al.Distribution and hydrocarbon generation of the Eogene Source rocks in a sequence stratigraphic framework in the Nanpu Sag,Bohai Bay Basin[J].Acta Sedimentologica Sinica,2008,26(6):1077-1085.[赵彦德,刘洛夫,张枝焕,等.南堡凹陷古近系层序地层格架中烃源岩分布与生烃特征研究[J].沉积学报,2008,26(6):1077-1085.]
[22]Wei Xiangfeng,Zhang Tingshan,Wei Xianghua,et al.Paleogene sequence stratigraphy and source-reservoir-cap rock assemblage in Baiju Sag[J].Natural Gas Geoscience,2011,22(4):675-683.[魏祥峰,张廷山,魏祥华,等.苏北盆地白驹凹陷古近系层序地层及生储盖组合分析[J].天然气地球科学,2011,22(4):675-683.]
[23]Wang Min,Lu Shuangfang,Xue Haitao,et al.The effects of magmatic intrusions on the maturation of organic matter and its numerical simulation[J].Acta Petrologica Sinica,2010,26(1):177-184.[王民,卢双舫,薛海涛,等.岩浆侵入体对有机质生烃(成熟)作用的影响及数值模拟[J].岩石学报,2010,26(1):177-184.]