优化的?logR技术及其在中——深层烃源岩总有机碳含量预测中的应用
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摘要
针对利用Δlog R技术预测中—深层烃源岩总有机碳含量效果较差的问题,依据一一映射原理,利用归一化方法对Δlog R技术进行优化,并引入自然伽马参数,建立优化的总有机碳含量预测模型。该模型不仅可预测中—深层烃源岩有机碳含量,也可预测浅层烃源岩总有机碳含量。引入自然伽马参数,有助于减少非烃源岩高阻段对总有机碳含量预测的影响,增强预测模型的抗干扰能力;将所有参数归一化,不仅消除测井仪器不同等因素带来的误差,也降低运算过程中数据的复杂程度。结合渤海湾盆地东濮凹陷西南部洼陷勘探程度较低,使用测井仪器种类较多和沙三段中亚段烃源岩埋藏较深、声波时差较低的勘探现状,分别利用Δlog R技术和优化的Δlog R技术对烃源岩总有机碳含量进行预测。相比Δlog R技术,优化模型相关系数的平方提高了0.371,估计标准误差降低了0.139,表明优化的Δlog R技术能够较好地预测中—深层烃源岩总有机碳含量的变化趋势。另外,利用优化模型预测东濮凹陷西南部洼陷总有机碳含量分布,结果表明研究区北部为有利烃源岩发育区。
An Δlog R technique has a poor effect on predicting total organic carbon of source rocks with middle and deep burial depth. Aiming at this problem,on the basis of the normalization principle and one-to-one mapping,the Δlog R technique was modified and natural gamma ray was introduced to build a model for total organic carbon prediction,by which the total organic carbon can be predicted not only in the middle and deep source rocks but also in the shallow. The introduced natural gamma data helps to reduce the impact of high resistivity of non-hydrocarbon source rocks on total organic carbon estimation and improve anti-interference ability of the prediction model. All data are normalized to solve the errors caused by different well logging instruments or standards,which also helps to reduce the complexity of data in the process.Combined with the exploration situation of southwest subsag in Dongpu Sag,including poor exploration,application of many well logging instruments,source rock buried deeply in the middle of the third member of Shahejie Formation and low acoustic value,the Δlog R and the improved Δlog R techniques were applied respectively to predict total organic carbon.Compared with the Δlog R technique,the square of correlation coefficient is increased by 0.371 and the standard deviation is decreased by 0.139. It indicates that the improved Δlog R technique could be well applied to predicting total organic carbon of source rocks with middle and deep burial depth. In addition,the improved Δlog R technique was applied to predicting total organic carbon of source rocks in southwest subsag of Dongpu Sag,and the result indicates that the north is a po-tential area for petroleum exploration.
An Δlog R technique has a poor effect on predicting total organic carbon of source rocks with middle and deep burial depth. Aiming at this problem,on the basis of the normalization principle and one-to-one mapping,the Δlog R technique was modified and natural gamma ray was introduced to build a model for total organic carbon prediction,by which the total organic carbon can be predicted not only in the middle and deep source rocks but also in the shallow. The introduced natural gamma data helps to reduce the impact of high resistivity of non-hydrocarbon source rocks on total organic carbon estimation and improve anti-interference ability of the prediction model. All data are normalized to solve the errors caused by different well logging instruments or standards,which also helps to reduce the complexity of data in the process.Combined with the exploration situation of southwest subsag in Dongpu Sag,including poor exploration,application of many well logging instruments,source rock buried deeply in the middle of the third member of Shahejie Formation and low acoustic value,the Δlog R and the improved Δlog R techniques were applied respectively to predict total organic carbon.Compared with the Δlog R technique,the square of correlation coefficient is increased by 0.371 and the standard deviation is decreased by 0.139. It indicates that the improved Δlog R technique could be well applied to predicting total organic carbon of source rocks with middle and deep burial depth. In addition,the improved Δlog R technique was applied to predicting total organic carbon of source rocks in southwest subsag of Dongpu Sag,and the result indicates that the north is a po-tential area for petroleum exploration.
引文
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[21]MENDELZON J D,TOKSOZ M N.Source rock characterization using multivariate analysis of log data[R].Dallas:SPWLA 26th Annual Logging Symposium,Society of Petro-physicists and Well Log Analysts,1985:1-21.
[22]SCHMOKER J W.Determination of organic-matter content of appalachian Devonian shales from gamma-ray logs[J].AAPG Bulletin,1981,65(7):1 285-1 298.
[23]张克鑫,漆家福,赵衍彬,等.新生代东濮凹陷构造特征及其演化[J].新疆石油地质,2007,28(6):714-717.ZHANG Kexin,QI Jiafu,ZHAO Yanbin,et al.Structure and evolution of Cenozoic in Dongpu Sag[J].Xinjiang Petroleum Geology,2007,28(6):714-717.
[24]边雷博,柳广弟,孙明亮,等.方里集地区沙河街组烃源岩地球化学特征分析及油源对比[J].中国海上油气,2017,29(6):53-60.BIAN Leibo,LIU Guangdi,SUN Mingliang,et al.Geochemical characteristics of source rocks and oil source correlation of Shahejie Formation in Fangliji area,Dongpu sag,China[J].China Offshore Oil and Gas,2017,29(6):53-60.
[25]武晓玲,卢福长,张云献,等.东濮凹陷濮深8井油气与烃源岩地球化学特征[J].石油勘探与开发,2000,27(5):32-35.WU Xiaoling,LU Fuchang,ZHANG Yunxian,et al.Geochemical characteristic study of oil-gas and source rocks in Well Pushen8in Dongpu depression[J].Petroleum Exploration and Development,2000,27(5):32-35.
[26]柳广弟,高先志,黄志龙,等.石油地质学[M].北京:石油工业出版社,2009:153-165.LIU Guangdi,GAO Xianzhi,HUANG Zhilong,et al.Petroleum geology[M].Beijing:Petroleum Industry Press,2009:153-165.
[2]ZHAO Peiqiang,MAO Zhiqiang,HUANG Zhenhua,et al.A new method for estimating total organic carbon content from well logs[J].AAPG Bulletin,2016,100(8):1 311-1 327.
[3]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.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.
[4]朱振宇,王贵文,朱广宇.人工神经网络法在烃源岩测井评价中的应用[J].地球物理学进展,2002,17(1):137-140.ZHU Zhenyu,WANG Guiwen,ZHU Guangyu.The application of artificial neural network to the source rock’s evaluation[J].Progress in Geophysics,2002,17(1):137-140.
[5]KAMALI M R,MIRSHADY A A.Total organic carbon content determined from well logs usingΔLog R and Neuro Fuzzy techniques[J].Journal of Petroleum Science&Engineering,2004,45(3/4):141-148.
[6]FERTL W H,CHILINGAR G V.Total organic carbon content determined from well logs[J].SPE Formation Evaluation,1988,3(2):407-419.
[7]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):1 508-HUANG Wei,ZHANG Xiaoli,LI Hao,et al.Interpretation modelof organic carbon content of shale in Member7 of Yanchang Formation,central-southern Ordos Basin[J].Acta Petrolei Sinca,2015,36(12):1 508-1 515.
[8]HE Jianhua,DING Wenlong,JIANG Zaixing,et al.Logging identification and characteristic analysis of the lacustrine organic-rich shale lithofacies:A case study from the Es3Lshale in the Jiyang Depression,Bohai Bay Basin,Eastern China[J].Journal of Petroleum Science&Engineering,2016,145(5):238-255.
[9]边雷博,张小莉,严巧丹,等.鄂尔多斯盆地中南部长7油层组页岩气含量计算[J].石油地质与工程,2016,30(5):59-62,66.BIAN Leibo,ZHANG Xiaoli,YAN Qiaodan,et al.Shale gas content calculation of Chang-7 oil layers in central and southern Ordos basin[J].Petroleum Geology and Engineering,2016,30(5):59-62,66.
[10]PASSEY Q R,CREANEY S,KULLA J B,et al.A practical model for organic richness from porosity and resistivity logs[J].AAPG Bulletin,1990,74(12):1 777-1 794.
[11]许晓宏,黄海平,卢松年.测井资料与烃源岩有机碳含量的定量关系研究[J].江汉石油学院学报,1998,20(3):8-12.XU Xiaohong,HUANG Haiping,LU Songnian.A quantitative relationship between well logging information and organic carbon content[J].Journal of Jianghan Petroleum Institute,1998,20(3):8-12.
[12]张小莉,沈英.吐哈盆地侏罗系煤系地层烃源岩的测井研究[J].测井技术,1998,22(3):183-185.ZHANG Xiaoli,SHEN Ying.Study on the source rock of Jurassic coal measure strata in Tulufan Hami basin by logs[J].Well Logging Technology,1998,22(3):183-185.
[13]周一博,柳广弟,谭修中,等.酒泉盆地营尔凹陷下白垩统烃源岩分布特征[J].油气地质与采收率,2013,20(1):20-23.ZHOU Yibo,LIU Guangdi,TAN Xiuzhong,et al.Distribution and characteristic of lower Cretaceous source rocks in Ying’er sag,Jiuquan basin[J].Petroleum Geology and Recovery Efficiency,2013,20(1):20-23.
[14]刘超,卢双舫,黄文彪,等.Δlog R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.LIU Chao,LU Shuangfang,HUANG Wenbiao,et al.Improvement ofΔlog R and its application in source rocks evaluation[J].Petroleum Geology&Oilfield Development in Daqing,2011,30(3):27-31.
[15]胡慧婷,苏瑞,刘超,等.广义Δlg R技术预测陆相深层烃源岩有机碳含量方法及其应用[J].天然气地球科学,2016,27(1):149-155.HU Huiting,SU Rui,LIU Chao,et al.The method and application of using generalized-Δlg R technology to predict the organic carbon content of continental deep source rocks[J].Natural Gas Geoscience,2016,27(1):149-155.
[16]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):104-109,146.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):104-109,146.
[17]WANG Pengwei,CHEN Zhuoheng,PANG Xiongqi,et al.Revised models for determining TOC in shale play:Example from Devonian Duvernay Shale,Western Canada Sedimentary Basin[J].Marine&Petroleum Geology,2016,70(2):304-309.
[18]高阳.东营凹陷北部沙四段下亚段盐湖相烃源岩特征及展布[J].油气地质与采收率,2014,21(1):10-15.GAO Yang.Characteristics and distribution of salt lake source rocks from lower submemeber of 4th member of Shahejie formation,north Dongying depression[J].Petroleum Geology and Recovery Efficiency,2014,21(1):10-15.
[19]赵铭海,傅爱兵,关丽,等.罗家地区页岩油气测井评价方法[J].油气地质与采收率,2012,19(6):20-24.ZHAO Minghai,FU Aibing,GUAN Li,et al.Logging evaluation method of shale oil and gas reservoir in Luojia area[J].Petroleum Geology and Recovery Efficiency,2012,19(6):20-24.
[20]高岗,王绪龙,柳广弟,等.准葛尔盆地上三叠统烃源岩TOC含量预测方法[J].高校地质学报,2012,18(4):745-750.GAO Gang,WANG Xulong,LIU Guangdi,et al.Prediction method and of organic carbon abundance of dark color mudstones in the Triassic system of Junggar Basin[J].Geological Journal of China Universities,2012,18(4):745-750.
[21]MENDELZON J D,TOKSOZ M N.Source rock characterization using multivariate analysis of log data[R].Dallas:SPWLA 26th Annual Logging Symposium,Society of Petro-physicists and Well Log Analysts,1985:1-21.
[22]SCHMOKER J W.Determination of organic-matter content of appalachian Devonian shales from gamma-ray logs[J].AAPG Bulletin,1981,65(7):1 285-1 298.
[23]张克鑫,漆家福,赵衍彬,等.新生代东濮凹陷构造特征及其演化[J].新疆石油地质,2007,28(6):714-717.ZHANG Kexin,QI Jiafu,ZHAO Yanbin,et al.Structure and evolution of Cenozoic in Dongpu Sag[J].Xinjiang Petroleum Geology,2007,28(6):714-717.
[24]边雷博,柳广弟,孙明亮,等.方里集地区沙河街组烃源岩地球化学特征分析及油源对比[J].中国海上油气,2017,29(6):53-60.BIAN Leibo,LIU Guangdi,SUN Mingliang,et al.Geochemical characteristics of source rocks and oil source correlation of Shahejie Formation in Fangliji area,Dongpu sag,China[J].China Offshore Oil and Gas,2017,29(6):53-60.
[25]武晓玲,卢福长,张云献,等.东濮凹陷濮深8井油气与烃源岩地球化学特征[J].石油勘探与开发,2000,27(5):32-35.WU Xiaoling,LU Fuchang,ZHANG Yunxian,et al.Geochemical characteristic study of oil-gas and source rocks in Well Pushen8in Dongpu depression[J].Petroleum Exploration and Development,2000,27(5):32-35.
[26]柳广弟,高先志,黄志龙,等.石油地质学[M].北京:石油工业出版社,2009:153-165.LIU Guangdi,GAO Xianzhi,HUANG Zhilong,et al.Petroleum geology[M].Beijing:Petroleum Industry Press,2009:153-165.