利用蚁群算法识别及预测碳酸盐岩裂缝的方法探讨
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摘要
针对东部某碳酸盐岩油藏裂缝发育,在开发后期油藏内部裂缝系统油水分布复杂,储层有利发育区的确定存在多解性的情况,采用蚁群算法对该区裂缝进行识别和预测。笔者参照岩心和成像测井资料对蚂蚁参数值调优,系统描述了研究区裂缝的空间展布特征,即裂缝体系呈网状结构,NW向、NNE向及近EW向的三组裂缝簇占绝对优势。再利用钻井漏失量、生产资料及成像测井对裂缝预测结果进行可靠性分析,表明利用蚁群算法识别及预测裂缝的方法切实可行,能为分析剩余油分布规律提供技术支持。蚁群算法作为一种新兴的仿生学算法,在利用地震资料定量预测裂缝方面有较大的发展潜力。
A fracture-developed carbonate oil field in the east has a complicate oil and gas distribution in facture network at late development stage,which leads to multiplicity of favorable reservoir estimation.In view of problems above,ant colony algorithm is adapted to recognition and predict facture in this field.The ant parameters are optimized on the basis of core and image log data,and the spatial distribution feature of fracture is described,as a reticulate structure with three dominant clusters of fracture(NW,NNE & NE).Drilling leakage,production data and image log are then used for reliability analysis of fracture predict,which presents that ant colony algorithm is a practicable methodology to recognition fracture and provides a support for remaining oil distribution analysis.As a booming bionic algorithm,ant colony algorithm has great potential for quantitative fracture predict with seismic materials.
A fracture-developed carbonate oil field in the east has a complicate oil and gas distribution in facture network at late development stage,which leads to multiplicity of favorable reservoir estimation.In view of problems above,ant colony algorithm is adapted to recognition and predict facture in this field.The ant parameters are optimized on the basis of core and image log data,and the spatial distribution feature of fracture is described,as a reticulate structure with three dominant clusters of fracture(NW,NNE & NE).Drilling leakage,production data and image log are then used for reliability analysis of fracture predict,which presents that ant colony algorithm is a practicable methodology to recognition fracture and provides a support for remaining oil distribution analysis.As a booming bionic algorithm,ant colony algorithm has great potential for quantitative fracture predict with seismic materials.
引文
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[12]严哲,顾汉明,赵小鹏.基于蚁群算法的非线性AVO反演[J].石油地球物理勘探,2009,44(6):700-702.YAN Zhe,GU Hanming,ZHAO Xiaopeng.Non-linear AVO inversion based on ant colonyalgorithm[J].Oil Geophysical Prospecting,2009,44(6):700-702.
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[14]冯明友,张帆,王兴志,等.利用IPA技术精细识别裂缝:以柴达木盆地南翼山工区为例[J].地球物理学进展,2010,25(6):2054-2060.FENG Mingyou,ZHANG Fan,WANG Xingzhi,et al.Delineation of fractures by 3D seismic data IPAtechnique:a case study in Nanyishan area,Qaidam,Basin[J].Progress in Geophysics,2010,25(6):2054-2060.
[15]陈辉,胡英,李军.数学形态学在地震裂缝检测中的应用[J].天然气工业,2008,28(3):48-50.CHEN Hui,HU Ying,LI Jun.Application ofmathematical morphology to seismic fracturedetection[J].Nature Gas Industry,2008,28(3):48-50.
[16]Hajizadeh Y,Christie M,Demyanov V.Ant colonyoptimization algorithm for history matching[C]∥EUROPEC/EAGE Conference and Exhibition,8-11June 2009,Amsterdam,The Netherlands.[S.l.]:Society of Petroleum Engineers,2009:13.
[17]胡小兵,黄席樾.基于蚁群算法的三维空间机器人路径规划[J].重庆大学学报,2004,27(8):132-135.HU Xiaobing,HUANG Xiyue.Path planning in 3-Dspace for robot based on ant colony algorithm[J].Journal of Chongqing University,2004,27(8):132-135.
[18]Rishiwal V,Yadav M,Arya K V.Finding optimalpaths on terrain maps using ant colony algorithm[J].International Journal of Computer Theory andEngineering,2010,2(3):416-419.
[19]曹树刚,王延钊,卢华玮.高层建筑人员疏散的蚁群算法数学模型[J].重庆大学学报:自然科学版,2007,30(12):47-50.CAO Shugang,WANG Yanzhao,LU Huawei.Antcolony algorithm mathematical model of high buildingspedestrian evacuation[J].Journal of ChongqingUniversity:Nature Science Edition,2007,30(12):47-50.
[20]张欣.蚂蚁追踪在断层自动解释中的应用:以平湖油田放鹤亭构造为例[J].石油地球物理勘探,2010,45(2):278-281.ZHANG Xin.Application of ant tracing algorithm infault automatic interpretation:a case study onFangheting structure in Pinghu Oilfield[J].OilGeophysical Prospecting,2010,45(2):278-281.
[21]Cox T,Seitz Ka.Ant tracking seismic volumes forautomated fault interpretation[C]∥2007CSPG CSEGConvention,May 14-17,2007,Calgary,Alberta,Canada.[S.l.]:Canadian Society of PetroleumGeologist,2007,2:670-671.
[22]Dorigo M.Optimization,learning and naturalalgorithms[D].Department of Electronics,Politecnicodimilano,Italy,1992.
[23]王绪松,杨长春.对地震图象进行保边滤波韵非线性各向异性扩散算法[J].地球物理学进展,2006,21(2):452-457.WANG Xusong,YANG Changchun.An edge-preserving smoothing algorithm of seismic image usingnonlinear anisotropic diffusion equation[J].Progress inGeophysics,2006,21(2):452-457.
[24]段海滨.蚁群算法原理及其应用[M].北京:科学出版社,2005:302-303.
[25]陆宗骐,朱煜.用带形状校正的腐蚀膨胀实现Euclidean距离变换[J].中国图象图形学报,2010,15(2):294-300.LU Zongji,ZHU Yu.Implementation of Euclideandistance transforms using erosion and dilation with formcorrection[J].Journal of Image and Graphics,2010,15(2):294-300.
[26]张惟皎,刘春煌,尹晓峰.蚁群算法在数据挖掘中的应用研究[J].计算机工程与应用,2004,28(2):171-173.ZHANG Weijiao,LIU Chunhuang,YIN Xiaofeng.Application research on data ming using ant colonyalgorithm[J].Computer Engineering and Applications,2004,28(2):171-173.
[27]Wang J,Lu W K.Coherence cube enhancement basedon local histogram specification[J].AppliedGeophysics,2010,7(3):249-256.
[28]伍鹏,贺振华,陈学华,等.二维高斯迭代平滑滤波曲率属性及其应用[J].地球物理学进展,2010,25(6):2144-2149.WU Peng,HE Zhenhua,CHEN Xuehua,et al.Curvature attribute of two-dimensional Gaussianiterated smoothing filtering and applications[J].Progress in Geophysics,2010,25(6):2144-2149.
[29]李月,杨宝俊,赵雪平,等.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,2005,48(6):1428-1433.LI Yue,YANG Baojun,ZHAO Xueping,et al.Analgorithm of chaotic vibrator to detect weak events inseismic prospecting records[J].Chinese Journal ofGeophysics,2005,48(6):1428-1433.
[30]陈凤云.方差体技术在地震勘探中的应用[J].中国煤田地质,2005,12(4):51-52.CHEN Fengyun.Application of variance cubetechnique in seismic prospecting[J].Coal Geology ofChina,2005,12(4):51-52.
[2]高霞,谢庆宾.储层裂缝识别与评价方法新进展[J].地球物理学进展,2007,22(5):1460-1465.GAO Xia,XIE Qingbin.Advances in identification andevaluation of fracture[J].Progress in geophysics,2007,22(5):1460-1465.
[3]Qu S L,Ji Y X,Wang X,et al.Fracture detection byusing full azimuth P wave attributes[J].AppliedGeophysics,2007,4(3):238-243.
[4]张虹,沈忠民.超致密裂缝性储层地震预测方法研究:以川西新场气田须二气藏勘探为例[J].成都理工大学学报:自然科学版,2008,35(2):150-157.ZHANG Hong,SHEN Zhongmin.Study on seismicprediction methods for super tight fractured reservoirs-An example from the exploration of Member 2 ofXujiahe Formation reservoir in Xinchang gas field,Sichuan Basin,China[J].Journal of ChengduUniversity of Technology:Science and TechnologyEdition,2008,35(2):150-157.
[5]何雨丹,魏春光.裂缝型油气藏勘探评价面临的挑战及发展方向[J].地球物理学进展,2007,22(2):537-543.HE Yudan,WEI Chunguang.The present situationand research direction of evaluation methods in fracturetype reservoir[J].Progress in geophysics,2007,22(2):537-543.
[6]Brown A R.Interpretation of three-dimensional seismicdata[M].Tulsa,Oklahoma,USA:The AmericanAssociation of Petroleum Geologists and the Society ofExporation Geophysicists,2004:42.
[7]Hoyes J,Cheret T.A review of global interpretationmethods for automated 3D horizon picking[J].TheLeading Edge,2011,1(1):38-47.
[8]Barness A E.A filter to improve seismic discontinuitydata for fault interpretation[J].Society of ExplorationGeophysicists,2006,71(3):1-4.
[9]Vrugt J A,Stauffer P H,Wōhling Th,et al.Inversemodeling of subsurface flow and transport properties:areview with new developments[J].Vadose ZoneJournal,2008,7(2):843-864.
[10]蔡希源,唐建明,陈本池.三维多分量地震技术在川西新场地区深层致密砂岩裂缝检测中的应用[J].石油学报,2010,31(5):737-743.CAI Xiyuan,TANG Jianming,CHEN Benchi.A 3Dmulti-component seismic exploration technique appliedto the detection of deep-seated tight sandstone fracturesin the Xinchang area of the western Sichuan Basin[J].Acta Petrolei Sinica,2010,31(5):737-743.
[11]王从镔,龚洪林,许多年,等.高分辨率相干体分析技术及其应用[J].地球物理学进展,2008,23(5):1575-1578.WANG Congbin,GONG Honglin,XU Duonian,et al.High-resolution coherency analysis technique and itsapplication[J].Progress in Geophysics,2008,23(5):1575-1578.
[12]严哲,顾汉明,赵小鹏.基于蚁群算法的非线性AVO反演[J].石油地球物理勘探,2009,44(6):700-702.YAN Zhe,GU Hanming,ZHAO Xiaopeng.Non-linear AVO inversion based on ant colonyalgorithm[J].Oil Geophysical Prospecting,2009,44(6):700-702.
[13]李红星,刘财,陶春辉.图像边缘检测方法在地震剖面同相轴自动检测中的应用研究[J].地球物理学进展,2007,22(5):1607-1610.LI Hongxing,LIU Cai,TAO Chunhui.The study ofapplication of edge measuring technique to the detectionof phase axis of the seismic section[J].Progress inGeophysics,2007,22(5):1607-1610.
[14]冯明友,张帆,王兴志,等.利用IPA技术精细识别裂缝:以柴达木盆地南翼山工区为例[J].地球物理学进展,2010,25(6):2054-2060.FENG Mingyou,ZHANG Fan,WANG Xingzhi,et al.Delineation of fractures by 3D seismic data IPAtechnique:a case study in Nanyishan area,Qaidam,Basin[J].Progress in Geophysics,2010,25(6):2054-2060.
[15]陈辉,胡英,李军.数学形态学在地震裂缝检测中的应用[J].天然气工业,2008,28(3):48-50.CHEN Hui,HU Ying,LI Jun.Application ofmathematical morphology to seismic fracturedetection[J].Nature Gas Industry,2008,28(3):48-50.
[16]Hajizadeh Y,Christie M,Demyanov V.Ant colonyoptimization algorithm for history matching[C]∥EUROPEC/EAGE Conference and Exhibition,8-11June 2009,Amsterdam,The Netherlands.[S.l.]:Society of Petroleum Engineers,2009:13.
[17]胡小兵,黄席樾.基于蚁群算法的三维空间机器人路径规划[J].重庆大学学报,2004,27(8):132-135.HU Xiaobing,HUANG Xiyue.Path planning in 3-Dspace for robot based on ant colony algorithm[J].Journal of Chongqing University,2004,27(8):132-135.
[18]Rishiwal V,Yadav M,Arya K V.Finding optimalpaths on terrain maps using ant colony algorithm[J].International Journal of Computer Theory andEngineering,2010,2(3):416-419.
[19]曹树刚,王延钊,卢华玮.高层建筑人员疏散的蚁群算法数学模型[J].重庆大学学报:自然科学版,2007,30(12):47-50.CAO Shugang,WANG Yanzhao,LU Huawei.Antcolony algorithm mathematical model of high buildingspedestrian evacuation[J].Journal of ChongqingUniversity:Nature Science Edition,2007,30(12):47-50.
[20]张欣.蚂蚁追踪在断层自动解释中的应用:以平湖油田放鹤亭构造为例[J].石油地球物理勘探,2010,45(2):278-281.ZHANG Xin.Application of ant tracing algorithm infault automatic interpretation:a case study onFangheting structure in Pinghu Oilfield[J].OilGeophysical Prospecting,2010,45(2):278-281.
[21]Cox T,Seitz Ka.Ant tracking seismic volumes forautomated fault interpretation[C]∥2007CSPG CSEGConvention,May 14-17,2007,Calgary,Alberta,Canada.[S.l.]:Canadian Society of PetroleumGeologist,2007,2:670-671.
[22]Dorigo M.Optimization,learning and naturalalgorithms[D].Department of Electronics,Politecnicodimilano,Italy,1992.
[23]王绪松,杨长春.对地震图象进行保边滤波韵非线性各向异性扩散算法[J].地球物理学进展,2006,21(2):452-457.WANG Xusong,YANG Changchun.An edge-preserving smoothing algorithm of seismic image usingnonlinear anisotropic diffusion equation[J].Progress inGeophysics,2006,21(2):452-457.
[24]段海滨.蚁群算法原理及其应用[M].北京:科学出版社,2005:302-303.
[25]陆宗骐,朱煜.用带形状校正的腐蚀膨胀实现Euclidean距离变换[J].中国图象图形学报,2010,15(2):294-300.LU Zongji,ZHU Yu.Implementation of Euclideandistance transforms using erosion and dilation with formcorrection[J].Journal of Image and Graphics,2010,15(2):294-300.
[26]张惟皎,刘春煌,尹晓峰.蚁群算法在数据挖掘中的应用研究[J].计算机工程与应用,2004,28(2):171-173.ZHANG Weijiao,LIU Chunhuang,YIN Xiaofeng.Application research on data ming using ant colonyalgorithm[J].Computer Engineering and Applications,2004,28(2):171-173.
[27]Wang J,Lu W K.Coherence cube enhancement basedon local histogram specification[J].AppliedGeophysics,2010,7(3):249-256.
[28]伍鹏,贺振华,陈学华,等.二维高斯迭代平滑滤波曲率属性及其应用[J].地球物理学进展,2010,25(6):2144-2149.WU Peng,HE Zhenhua,CHEN Xuehua,et al.Curvature attribute of two-dimensional Gaussianiterated smoothing filtering and applications[J].Progress in Geophysics,2010,25(6):2144-2149.
[29]李月,杨宝俊,赵雪平,等.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,2005,48(6):1428-1433.LI Yue,YANG Baojun,ZHAO Xueping,et al.Analgorithm of chaotic vibrator to detect weak events inseismic prospecting records[J].Chinese Journal ofGeophysics,2005,48(6):1428-1433.
[30]陈凤云.方差体技术在地震勘探中的应用[J].中国煤田地质,2005,12(4):51-52.CHEN Fengyun.Application of variance cubetechnique in seismic prospecting[J].Coal Geology ofChina,2005,12(4):51-52.
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