车排子凸起排601井区沙湾组储层预测研究
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摘要
车排子凸起位于准噶尔盆地西北缘,构造上属于准噶尔盆地西部隆起的次一级构造单元,其西邻扎伊尔山,东面以红车断裂带为界,南面为四棵树凹陷及伊林黑比尔根山,北面与克夏断褶带相接。车排子凸起为一东南倾、西北抬的单斜坡,自海西期经历几次震荡性沉降,构造演化十分复杂。特殊的构造运动和沉积演化使车排子凸起发育大量岩性、地层油气藏。新近系沙湾组为本次研究主要目的层位,与上覆塔西河组呈剥蚀不整合接触,与下伏白垩系呈超覆不整合接触。沙湾组底部条带状砂岩沿车排子凸起上倾方向超覆于白垩系不整合面以上,同时被上覆泥岩隔层遮挡,形成地层超覆油气藏。
     储层预测技术是油气藏勘探开发的核心技术,它以地震数据为基础,结合测井、录井、钻井取心等资料,采用精细构造解释、地震属性分析、频谱分解、地震反演等技术,研究储层的岩性、岩相、物性等特征参数分布,进而预测有利区。储层预测研究直接影响油田的勘探开发决策和井位部署工作。由于本区开发井网密度小,三维地震资料品质较差,部分井区目的层遭受严重剥蚀,沉积模式认识不清,砂体单层厚度薄且横向变化快,给有利区预测工作带来很大的困难和挑战,因此亟待开展储层预测研究。
     本次研究以三维地震资料为基础,综合利用测井、钻井和岩心分析资料,以地震沉积学、地球物理学、储层沉积学、层序地层学等理论为指导,结合前人的研究成果,首先开展地震层序地层研究,采用精细合成地震记录、多井综合标定、时频分析等技术研究排601井区沙湾组层序地层特征;然后以相控理论为指导,利用地震属性分析技术、地层切片技术、属性优化聚类分析技术等,进行有利储集相带的划分;最后采用测井约束波阻抗反演、多属性地震反演等技术,研究沙湾组的储层岩性、物性等平面展布特征,深入剖析沉积体内幕特征,预测有利区带分布,取得了较好的应用效果。
     (1)、以地震地层学、层序地层学等理论为指导,开展地震层序地层研究,识别沙湾组顶底不整合面和内部地震反射特征,沙湾组底界不整合面是研究区重要的油气运移通道,是车排子地区油气成藏的主控因素之一。采用精细合成地震记录、多井综合标定、时频分析等技术,井震结合,追踪识别排601井区沙湾组内部各砂组的顶底界面,研究沙湾组层序地层特征。利用三维可视化、时间切片、连井任意线等技术开展地震精细解释工作。
     (2)、以相控理论为指导,结合储层岩石物理特征分析和单井相研究成果,利用地震属性分析技术、地层切片技术、分频属性提取、属性优化聚类分析技术等,进行有利储集相带的划分。排601井区沙湾组储层砂体厚度等参数与均方根振幅属性相关性较好,特别是沙湾组一段含油砂体具有较明显的“类亮点”特征。但部分井油水层识别困难,难以区分。通过提取多种属性和优化组合聚类分析技术,细致刻画储集相带的分布特征。
     (3)、采用测井约束波阻抗反演技术、多属性非线性神经网络地震反演等技术,研究车排子凸起排601井区沙湾组的储层岩性、物性等平面展布特征,深入剖析沉积体内幕特征,预测有利区分布。通过测井资料预处理和精细储层标定工作,卡准沙湾组各砂组目的层位,建立合理的地质模型,进行测井约束反演;结合波阻抗反演数据体,利用PNN非线性神经网络多属性地震反演,预测储层参数特征分布,相关系数达0.82,取得较好的效果。
     该研究成果在车排子凸起排601井区地层油气藏勘探开发中得到推广应用,较好地指导了这些地区的勘探开发,通过与已知钻井对比,储层预测的成功率大于70%,取得了显著的地质效果和经济效益,证实了该项研究具有一定的指导意义。
Chepaizi uplift lies in the northwest of Junggar basin, which belongs to the secondary tectonic unit of West Junggar upthrust, where is close to the Zhayer mountain in the west and takes Hongche fault Belts as east boundary, while the south boundary is Sikeshu sag and Yilinheiergen mountain and with Kexia fault-folding zone in the north. Chepaizi uplift is a single slope with southeast inclination, and has gone through several subsidence repeatedly during Haixi periods with quite complex tectonic development. There are lots of oil-gas reservoir in Chepaizi area for the reason of special structures and sediments. The Shawan Formation of Neocene is the target formation in this research, which has erosion-unconformity contract with the upper Taxihe Formation and overlap-uncomformity contract with the underlie Cretaceous Formation. The banded sandbody of Shawan Formation overlap with the unconformity surface in northwest direction, and so as to form the formation-overlap reservoir by the shading of upper mud zones.
     Reservoir prediction is the key technology in the exploration of oil-gas reservoir, which is based on the seismic data and combined with the logging data, utilizing the precise tectonic interpretation, seismic attribute analysis, sub-frequency and seismic inversion to study the distribution of reservoir parameters, lithology and other properties and so as to predict the favorable areas. Reservoir prediction has quite important influence on the exploration and well-drilling plan of the oilfield. For the reason of low density of wellnet, low quality of 3D seismic data, bearing erosion with target formation, confusion of sedimentary models and horizontal anisotropy of sandbody, the prediction for the favorable area is quite difficult and it is necessary to carry out the reservoir prediction research.
     Based on the 3D seismic data and well logging data, taking the theory of Seismic Sedimentary, Geophysics, Reservoir Sedimentary, Sequence Stratigraphy as the guide, and combined the results of predecessors, firstly carry out the seismic sequence stratigraphy research, study the characteristic of sequence stratigraphy in Shawan Formation of Pai601 area by using the techniques of precise synthetic seismogram, comprehensive demarcate with multi-well, time-frequency analysis. Secondly, guided by the theory of sedimentary facies-controlled, divide the favorable facies zone with the techniques of seismic attributes analysis, formation slice and attributes optimization. Finally, study the lithology and characteristic parameters of the reservoir and inner character of sediments to predict the target zones by using the seismic inversion with well constraint and multi-attribute non-linear seismic inversion, and gets quite good application results.
     (1) Guided by the theory of seismic stratigraphy and sequence stratigraphy, identify the unconformity surface of target formation and the seismic refection characters, while the unconformity surface of bottom Shawan Formation is the significant channel for transporting oil and gas and has key influence on the formation of oil-gas reservoir. By using the techniques of precise synthetic seismogram, comprehensive demarcate with multi-well, time-frequency analysis to study the sequence stratigraphy characteristic of inner sand formation and utilizing the 3D visualization, time slice and arbitrary lines to the precise interpretation.
     (2) Based on the facies-controlled theory, combined the analysis results of petrophysics characteristic and single well, divide the favorable reservoir zones by using the techniques of seismic attributes analysis, formation slice and attributes optimization and classification. The RMS amplitude has quite good relationship with the thickness of sandbody, especially for the oil-bearing sand in first member of Shawan Formation with the characters of“lightspot”. However some parts of wells have difficulty in distinguishing the sand bearing with water or oil. By the precise study of multi-attribute extraction and classification, to describe the favorable reservoir zones in the target area.
     (3) Study the lithology and characteristic parameters of the reservoir and inner character of sediments to predict the target zones by using the seismic inversion with well constraint and multi-attribute non-linear seismic inversion. Build the reasonable geology modeling by well logging standardization and precise demarcation to carry out seismic inversion, and takes the impedance data into multi-attribute PNN inversion with good correlation, which the coefficient is 0.82.
     This study results has been applied to various lithological reservoir exploration in Chepaizi area, and have given great guidance to the exploration. Contrasting with the known drilling wells, and the success rate of prediction is greater than 70%. This study results have got obvious geological effects and economic benefits so as to verify the instructive significance of the research.
引文
[1]孙建孟,王永刚.地球物理资料综合应用.东营:石油大学出版社,2001
    [2]汪彩云.地震技术在车排子地区岩性油藏勘探中的应用.勘探地球物理进展,2009,32 (4):280~285
    [3]靖辉,江洪,向奎.准噶尔盆地西缘车排子地区岩性油气藏成藏主控因素.石油实验地质, 2007,29(4):377~383
    [4]于宝利,刘万辉,刘新利等.准噶尔盆地车排子地区新近系油气成藏控制因素及富集规律.石油地球物理勘探,2008,43(增刊1):50~55
    [5]董臣强.准噶尔盆地车排子地区成藏特征分析.油气地球物理,2008,6(4):34~37
    [6]沈扬,贾东,宋国奇等.源外地区油气成藏特征、主控因素及地质评价—以准噶尔盆地西缘车排子凸起春光油田为例.地质论评, 2010,56(1):51~59
    [7]徐兴友.准噶尔盆地车排子地区油气成藏期次研究.石油天然气学报, 2008,30(3)
    [8]王树华,张云银,刘国宏.车排子地区“油亮点”特征及识别方法.油气地球物理, 2002
    [9]王离迟,洪太元,江洪.强振幅地震属性分析技术在车排子地区油气检测中的应用.新疆地质, 2006,24(3):310~313
    [10]殷八斤,曾灏等.AVO技术的理论与实践[M].北京:石油工业出版社,1995,68~76
    [11] Widess M B. How thin is a thin bed. Geophysics,1973,38(6):1176~1180
    [12] Domenico S.N, Effect of brine-gas mixture on velocity in an unconsolidated sand reservoir. Geophysics, 1976, 41(5): 882~894
    [13] Domenico S.N, Elastic properties of unconsolidation porous sand reservoir. Geophysics, 1977, 42(7): 1339~1369
    [14]张金亮,孔凡群等.宁海油田沙三段早期油藏描述,见:林壬子主编《油气勘探与油藏地球化学》,石油工业出版社,1998.105~125
    [15]王永刚.地震资料综合解释方法.中国石油大学出版社,2006.271~320
    [16]宋传春.准噶尔盆地排2井油层亮点地震响应与识别.中国石油勘探,2007,4:49~52
    [17]董臣强,王军.准噶尔盆地车排子地区新近系沙湾组一砂组油层地震特征分析.石油地球物理勘探, 2007,42(4):445~447
    [18]穆玉庆,石好果,任新成等.岩性油藏地震描述技术的研究与应用--以车排子地区为例.油气地球物理,2009,7(2):29~33
    [19]张云银,张建宁.准噶尔车排子地区沙湾组含油砂岩地震正演模拟.石油勘探与开发,2010,37(1):38~42
    [20]金鑫,陆永潮.准噶尔盆地车排子地区中新生界沉降史.海洋石油,2007, 27(3)
    [21]刘吉全.准噶尔盆地西北缘车排子地区新近系沉积体系研究.[硕士学位论文].东营:中国石油大学,2010
    [22]赵晓东.车排子地区新近系沙湾组有利区带研究.[硕士学位论文].东营:中国石油大学,2010
    [23]赵政璋,赵贤正,王英民.地震储层预测理论与实践.北京:科学出版社,2005
    [24]纪友亮.层序地层学.同济大学出版社,2005.3~20
    [25]孙家振,李兰斌.地震地质综合解释教程.中国石油大学出版社,2002.114~121
    [26]黄照文,赵明荣等.刘庄地区地震层序划分的原则与方法.内蒙古石油化工,2005
    [27]邓宏文等.高分辨率程序地层学--原理及应用.北京:地质出版社,2002.1~11
    [28]朱筱敏.层序地层学.中国石油大学出版社.2000.11~30
    [29]李庆忠.走向精确勘探的道路.北京:石油工业出版社,1993.12~20
    [30]陆基孟.地震资料的地层岩性解释.北京:石油工业出版社,1989
    [31]韩文功,印兴耀等.地震技术新进展.东营:中国石油大学出版社,2006
    [32]陈丽华.油气储层研究技术.北京:石油工业出版社, 2000
    [33]王娟,陈玉林,郭宝玺.三维可视化立体解释技术.石油地球物理勘探, 2005, 40(6)
    [34]夏竹,刘兰锋,任敦占,魏文博.基于地震道时频分析的地层结构解析原理和方法.石油地球物理勘探,2007,42(1):57~69
    [35]毛宁波,戴塔根,常德双,范哲清,李建英.沉积旋回的地震时频特征、地震分形特征和地震灰色特征研究[J].石油地球物理勘探,2003,38(增):134~137
    [36]张玉芬,熊维纲,杜聿麟.时频分析方法在薄储集层横向预测中的应用[J].地质科技情报,1995,14(1):83~88
    [37]刘喜武,宁俊瑞.地震时频属性及其在油气地震地质技术中应用的综述[J].勘探地球物理进展,2009,32(1):18~22
    [38]陈茂山.测井资料的两种深度与频谱分析方法及在层序地层学研究中的应用.石油地球物理勘探,1999,34(2):57~63
    [39]林承焰,张宪国等.地震沉积学及其初步应用.石油学报,2007,28(2):69~72
    [40]林正良,王华等.地震沉积学研究现状及进展综述.地质科技情报,2009,9,28(5)
    [41] Alistair R.Brown. Seismic attributes and their classification. The LeadingEdge,1996
    [42] Quincy Chen. Seismic attribute technology for reservoir forecasting and monitoring. The Leading Edge,1997
    [43]凌云研究组.基本地震属性在沉积环境解释的应用研究.石油地球物理勘探,2003,38(6):642~653
    [44]侯伯刚,杨池银,武站国,吴伯福.地震属性及其在储层预测中的影响因素[J].石油地球物理勘探,2004,39(5):553~558
    [45]王永刚,乐友喜,刘伟,曹丹平.地震属性与储层特征的相关性研究[J].石油大学学报,2004,28(1):26~35
    [46]王锡文,蔡其新,刘联海.地震属性与速度不确定性的关系探讨[J].石油物探,2004,9:3(增刊):40~44
    [47]刘文岭,牛彦良,李刚等.多信息储层预测地震属性提取与有效性分析方法[J].石油物探,2002, 41 (1):100~106
    [48]鲍祥生,尹成,赵伟等.储层预测的地震属性优选技术研究.石油物勘, 2006, 45(1)
    [49]王英民等.开发地震学.北京:地震出版社,1996
    [50]乐友喜.地震属性提取、分析与应用方法研究.[博士学位论文].北京:石油勘探开发研究院,2002
    [51]王永刚,乐友喜,张军华.地震属性分析技术.2006,中国石油大学出版社
    [52]王炳章.地震岩石物理学及其应用研究[D].成都理工大学,2008
    [53]李勇根,徐胜峰.地震岩石物理和正演模拟技术在致密砂岩储层预测中的应用研究[J].天然气学报,2008,30(6):62~65
    [54]陈波,胡少华,毕建军.地震属性模式聚类预测储层物性参数[J].石油地球物理勘探,2005,40(2):204~208
    [55]印兴耀,周静毅.地震属性优化方法综述.石油地球物理勘探, 2005, 40(4)
    [56]谢雄举,季玉新.优选地震属性预测储层参数的方法及其应用[J].石油物探2004,43(增):127~131
    [57]陈遵德.储层地震属性优化方法[M].北京:石油工业出版社,1998
    [58]宋维琪,韩宏伟.地震属性与储层参数组合优化算法[J].石油地球物理勘探,2003,38(增刊):108~112
    [59]姜秀清.储层地震属性优化及属性体综合解释.[博士学位论文].广州地球化学研究所,2006
    [60]刘文岭,牛彦良,李刚,等.多信息储层预测地震属性提取与有效性分析方法[J].石油物探.2002,41(1):100~106.
    [61]张繁昌,印兴耀.用多层前馈网络进行三维储层参数反演的方法.石油大学学报(自然科学版),2004,28(1):31~35
    [62]印兴耀,吴国忱,张洪宙.神经网络在储层横向预测中的应用.石油大学学报(自然科学版),1994,18(5):20~25
    [63]邹才能,张颖等.油气勘探开发实用地震新技术.北京:石油工业出版社,2002
    [64]杨阳,曲寿利,印兴耀.沿层地震属性空间滤波去噪方法,石油地球物理勘探, 2007
    [65]杨玉杰,曲寿利,印兴耀.平面地震的去噪方法.石油地球物理勘探, 2009, 44(5)
    [66]张建宁,于建国.地震属性应用中的不确定性分析[J].石油物探,2006,45(4)
    [67]李明等.岩性地层油气藏地球物理勘探技术与应用.北京:石油工业出版社,2005
    [68]杜金虎,赵贤正,张以明等.中国东部裂谷盆地地层岩性油气藏.北京:地质出版社
    [69]聂凯轩,李承楚,王宏琳.地震测井资料综合预测方法—随机顺序指示条件模拟研究与应用.石油地球物理勘探, 1997, 32(6): 842-851
    [70]张敏知.生物礁地球物理响应特征及储层预测.[硕士学位论文].成都:成都理工大学,2008
    [71]史文娟.储层预测技术及在辽河地区的应用.[硕士学位论文].北京:中国地质大学,2009
    [72]张显文.储层地震预测技术与储层地球物理参数反演.[博士学位论文].长春:吉林大学,2010
    [73]撒利明.储层反演油气检测理论方法研究及其应用.[博士学位论文].广州:中国科学院研究生院,2003,26~28
    [74]慎国强,孟宪军,王玉梅,等.随机地震反演方法及其在埕北35井区的应用[J].石油地球物理勘探,2004,39(1):77~81
    [75]张繁昌,印兴耀,吴国忱,等.用模拟退火神经网络技术进行波阻抗反演.石油大学学报(自然科学版),1997,21(6):16~23
    [76]魏福军.东濮凹陷刘庄地区ES_2下段层序地层及相控储层预测研究.[博士学位论文].北京:中国地质大学,2007
    [77]雍世和,洪有密.测井资料综合解释与数字处理.北京:石油工业出版社, 1982
    [78]郑晓芳.地震多属性反演方法的研究及应用.[硕士学位论文].北京:中国地质大学,2008
    [79]陈冬.地震多属性分析及其在储层预测中的应用研究.[博士学位论文].北京:中国地质大学,2008
    [80] Wang Xingjian,etc. Application of multiple attributes fusion technology in the Su-14 well block.Applied Geophysics.2010,7(3):257~264
    [81] Anderson, J. K. Limitations of seismic inversion for porosity and pore fluid. Geophysics,1996
    [82] Kalkomey, C. T. Potential risks when using seismic attributes as predictors of reservoir properties. The Leading Edge,1997,16,247~251.
    [83]王良忱,张金亮.沉积环境和沉积相.北京:石油工业出版, 1996
    [84]张金亮,常象春.石油地质学.北京:石油工业出版社, 2004
    [85]张金亮,谢俊.储层沉积相.石油工业出版社, 2008
    [86]张金亮,神风,赖志云等.早期油藏地质研究及油藏表征.西北工业大学出版社,1993
    [87]赵春楷.滚动勘探开发一体化储层预测技术研究.[硕士学位论文].成都:西南石油学院,2004
    [88]王焕弟.岩性油气藏地球物理勘探技术与应用.[博士学位论文].北京:中国地质大学,2005
    [89]王俊琴.储层地震预测技术应用研究.[硕士学位论文].北京:中国地质大学,2007
    [90]吕丁友.渤中25-1南油田河流相储层地震精细描述.[硕士学位论文].北京:中国石油勘探开发研究院,2004
    [91] Seuret S.Pointwise Holder exponent estimation in data network traffic International Teletraffic Congress,2000:1~14
    [92] Arneodo,A. Singularity spectrum of multifractal functions involving oscillating singularities[J].J.Fourier Anal,1998:159~174
    [93] Li Chun Feng. Information passage from acoustic impedance to seismogram: Perspectives from wavelet-based multiscale analysis[J].Journal of geophysical research,2004,vol.109:1~10
    [94] P.Lawrence,S.Aramco. Seismic attributes in the characterization of small-scale reservoir in Abqaiq Field,The Leading Edge 1998

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