断陷盆地深层膏盐层系砂砾岩体细分层方法
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摘要
利用地质、钻井、测井、三维地震等资料,以民丰地区沙四下亚段为研究对象,提出了膏盐层系砂砾岩体细分层的方法:依据膏盐层期次划分砂砾岩体期次;采用电阻率和声波测井曲线即ΔlgR方法对膏盐层的内部旋回进行划分,进一步细分砂砾岩体亚期;运用加入遗传算法的BP神经网络方法判别砂砾岩体岩性,结合地震奇异性分析,划分扇体内幕。研究表明,加入遗传算法的BP神经网络方法可以对单井的砂砾岩体内幕进行划分,时频谱斜率的奇异性剖面中砂砾岩体包络线内的每个页状体都对应着一组扇体,可以利用其实现砂砾岩体横向的细致划分。民丰地区沙四下亚段的砂砾岩体分为3期、6个亚期、14个砂组,并可进一步细分小层,为勘探开发研究提供分层依据。
According to the geologic,drilling,logging and 3-D seismic data,the method of delamination for glutinite bodies in gypsum-salt bed was advanced as example with the glutinite bodies of the under section of fourth member of Shahejie formation in Minfeng region.The gypsum-salt bed times could be used to carve up glutinite bodies period.The inter cycles of gypsum-salt bed were studied by ΔlgR method(the estimate method for organic matter content of mud by resistivity and acoustic logging),and the sub-period of glutinite bodies can be measured.The lithology was differentiated by BP neural network acceded with genetic algorithm,and the internal fan body was classified,combining with seismic singularity attribute.The results show that the neural network acceded with genetic algorithm could reflect single well lithology sensitively.The seismic singularity attribute section of time-frequency spectrum slope could be used to measure off glutinite bodies transversely.The every lamina in the section was corresponded with one set of fan.With this method,the glutinite bodies of the under section of fourth member of Shahejie formation in Minfeng region were separated into 3 periods,6 sub-periods,14 sets and many thin layers.This method afforded delamination grounds for the exploration and development.
According to the geologic,drilling,logging and 3-D seismic data,the method of delamination for glutinite bodies in gypsum-salt bed was advanced as example with the glutinite bodies of the under section of fourth member of Shahejie formation in Minfeng region.The gypsum-salt bed times could be used to carve up glutinite bodies period.The inter cycles of gypsum-salt bed were studied by ΔlgR method(the estimate method for organic matter content of mud by resistivity and acoustic logging),and the sub-period of glutinite bodies can be measured.The lithology was differentiated by BP neural network acceded with genetic algorithm,and the internal fan body was classified,combining with seismic singularity attribute.The results show that the neural network acceded with genetic algorithm could reflect single well lithology sensitively.The seismic singularity attribute section of time-frequency spectrum slope could be used to measure off glutinite bodies transversely.The every lamina in the section was corresponded with one set of fan.With this method,the glutinite bodies of the under section of fourth member of Shahejie formation in Minfeng region were separated into 3 periods,6 sub-periods,14 sets and many thin layers.This method afforded delamination grounds for the exploration and development.
引文
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[14]周静毅,印兴耀,吴国忱.小波变换与地震奇异性属性[J].物探化探计算技术,2006,28(2):117-120.ZHOU Jing-yi,YIN Xing-yao,WUGuo-chen.Wavelettransform and seismic singularity attribute[J].Compu-ting Techniques for Geophyscal and Geochemical Explo-ration,2006,28(2):117-120.
[2]MUTO T,STEEL R J.The middle Jurassic Oserbergedelta,Northern sea asedimentological and sequence stra-tigraphic interpretation[J].AAPG Bulletin,1997,81(7):1070-1086.
[3]RYAND W H,CHOUGHS K.Sequential development ofalluvial/lacustrine system southeastern Eumsuny Basin(Cretaceous),Korea[J].Journal of Sedimentary Re-search,1997,67(2):274-285.
[4]陈业全,陈发亮,杨小波.东濮断陷湖盆兰聊陡坡带扇体形成机制及成藏规律研究[J].地球物理学进展,2004,19(2):348-356.CHEN Ye-quan,CHEN Fa-liang,YANG Xiao-bo.Re-search on the origin of the deposit fans and their reservoirformation in lanliao steep slope zone of dongpu depression[J].Progress In Geophysics,2004,19(2):348-356.
[5]孔凡仙.东营凹陷北带砂砾岩扇体勘探拄术与实践[J].石油学报,2000,21(5):27-31.KONG Fan-xian.Exploration technique and practice ofsandy-conglomeratic fans in the northern part of Dongyingdepression[J].Acta Petrolei Sinica,2000,21(5):27-31.
[6]王金铎,于建国,孙明江.陆相湖盆陡坡带砂砾岩扇体的沉积模式及地震识别[J].石油物探,1998,37(3):40-47.WANG Jin-duo,YU Jian-guo,SUN Ming-jiang.Deposi-tional mode and seismic recognition of sandstone and con-glomerate fan bodies in the abrupt slope zone of terrestrialfacies lake basin[J].Geophysical Prospecting for Petro-leum,1998,37(3):40-47.
[7]鄢继华,陈世悦,姜在兴.东营凹陷北部陡坡带近岸水下扇沉积特征[J].石油大学学报:自然科学版,2005,29(1):12-21.YAN Ji-hua,CHEN Shi-yue,JIANG Zai-xing.Sedimen-tary characteristics of nearshore subaqueous fans in steepslope of Dongying depression[J].Journal of the Univer-sity of Petroleum,China(Edition of Natural Science),2005,29(1):12-21.
[8]王宝言.断陷湖盆陡坡带砂砾岩体勘探技术——以东营凹陷北部陡坡带为例[J].特种油气藏,2004,22(6):29-32.WANG Bao-yan.Exploration of glutenite on the steepslope of rift lake basin:a case in the north steep slope ofDongying sag[J].Special Oil&Gas Reservoirs,2004,22(6):29-32.
[9]许晓宏,黄海平.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 Xiao-hong,HUANG Hai-ping.A quantitative rela-tionship between well logging information and organic car-bon content[J].Journal of Jianghan Petroleum Institute,1998,20(3):8-12.
[10]于雯泉.拗陷型盆地层序地层学研究——以松辽盆地为例[D].东营:石油大学地球资源与信息学院,2003:41-44.
[11]卢新卫,金章东.前馈神经网络的岩性识别方法[J].石油与天然气地质,1999,20(1):82-85.LU Xin-wei,JIN Zhang-dong.Method of lithologicrecongnizing based on feed forward neural network[J].Oil&Gas Geology,1999,20(1):82-85.
[12]张福明,李洪奇,邵才瑞,等.应用神经网络模式识别技术进行测井沉积学研究[J].石油勘探与开发,2003,30(3):121-123.ZHANG Fu-ming,LI Hong-qi,SHAO Cai-rui,et al.Application of artificial neural network pattern recogni-tion technology to the study of well-logging sedimentology[J].Petroleum Exploration and Development,2003,30(3):121-123.
[13]董臣强,王军,张金伟.时频分析技术在三角洲层序分析中的应用[J].断块油气田,2002,9(2):18-21.DONG Chen-qiang,WANG Jun,ZHANG Jin-wei.Ap-plication of time-sequence analysis in delta sequency a-nalysis[J].Fault-Block Oil&Gas Field,2002,9(2):18-21.
[14]周静毅,印兴耀,吴国忱.小波变换与地震奇异性属性[J].物探化探计算技术,2006,28(2):117-120.ZHOU Jing-yi,YIN Xing-yao,WUGuo-chen.Wavelettransform and seismic singularity attribute[J].Compu-ting Techniques for Geophyscal and Geochemical Explo-ration,2006,28(2):117-120.
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