扇三角洲相储层开发中后期剩余油分布规律研究
|
摘要
针对研究区构造断层复杂,沉积相变化快,非均质性强,油水关系复杂,岩心实验资料少的特点以及油藏数值模拟难以拟合从而导致的数值模拟错误或精确不够的特点,利用测井资料求取单井剩余油饱和度及储量丰度,并结合地质、地震、以及油藏工程等开发资料,综合判断剩余油富集的潜力区,为油田的开发挖潜提供有力的保证,并为相似条件下的油藏开发提供有力的借鉴。
综合应用地震、地质、钻井、测井等资料,采用“标准层控制、旋回对比”的方法,由点(标准井)到线(对比剖面)、再由线到面(对比剖面骨架网及全区各井)对工区78口井进行小层细分对比,建立了地层格架模型。
利用地震瞬时振幅、瞬时频率属性从平面及空间对扇体的展布进行识别,利用测井GR曲线的小波变换图谱对目标层段垂向上进行研究。研究认为毕家地区沙三下总体上为退积式扇三角洲,四个砂层组垂向上确定为四期扇三角洲沉积。总结了毕家地区沙三下亚段陡坡扇三角洲沉积模式以及湖泊不断扩张沉积演化特征,并指出了古地形和边界同生断层是研究区扇三角洲形成的重要条件。
通过对油藏构造特征研究认为毕家地区主体构造为北北东走向、向南南西倾伏的鼻状构造,其东翼较陡、西翼较缓。对全区微构造进行了识别。
以取芯井岩芯分析为基础,分区分沉积相带分岩性分别建立了砾岩及含砾砂岩-砂岩孔隙度、渗透率、含油饱和度测井解释模型。对储层非均质性进行了分析,认为储层总体上,为中高孔中渗储层,砂体连通性差,非均质性强。
利用水淹层测井解释方法、核磁共振测井、C/O测井解释方法、产液剖面法、产量匹分法、相对渗透率曲线法、渗饱-水驱曲线法、水驱特征曲线法等测井及油藏工程的方法对单井的剩余油饱和度、剩余储量丰度进行求取。综合利用K-均值算法对影响剩余油潜力的有效厚度、孔隙度、剩余油饱和度、沉积微相、构造条件、储层非均质性、砂体位置、以及与开发条件有关的井射孔完善程度、井网注采对应程度等主要因素进行综合定量评价。对毕家地区储层剩余油分布定量研究结果表明:水下分流河道沉积微相、正向微构造条件、强非均质性、砂体位置处边缘、井射孔不完善、井网注采不对应等都是剩余油富集的有利区带。总结了研究区的剩余油分布规律和分布模式。
Well logging interpretation was used to evaluate single well remaining oil saturation and remaining reserves abundance in view of distinguishing feature of researched region such as complex structure, quickly variable sedimentary facies, strong aeolotropy, complex hydrocarbon water contact, little core testing data, inlet well close to fault and containing water and press difficult to match that would cause false or inaccuracy numerical modeling result. Remaining oil concentration potentiali- ty was found according to comprehensive analysis combing regional geology,seismic,logging and core analysis data, which provide strong guaranty for oil field development and good example for similar oil field.
Layer was carefully compared and multianalzed according to the rule that marker formation controlling and cycle comparing under the dirrect of sequence stratigraphy, sedimentology, petroleum geology, and combining using regional geology,seismic,logging and core analysis data.
Fan body was recognized from plane and interspace according to using seismic instantaneous amplitude, instantaneous frequency and instantaneous phase properties. vertical-variability was also recognized according to using the means wavelet alternation of GR well logging. The result indicate it was retrograding sequence in member III at Shahejie formation in Binnan oilfield Bijia block, and four sand layer group can be separated into four delta fan deposition. The vertical sequence of fan-delta front sand and turbidite is established, the sedimentation model of actic region fan-delta and sedimentation evolution characteristics which lake enlarges continuously are also established. At the same time the research indicates that old topography and border contemporaneous fault are most important elements which fan-delta is buildup.
Structure feature of in Binnan oilfield Bijia block was nose like structure which was North North East aligement, South South West pitch, steep eastern limb and soft western limb. Microtectonics in Binnan oilfield Bijia block also recognized.
Based on cores analyses of coring well, the four properties relationships(i.e., lithology, physical property, conductivity and oil bearing)between conglomerate and glutenite formation were studied; The logging interpretation models of porosity, permeability and oil saturation in conglomerate and glutenite reservoirs with different lithologies were set up. The aeolotropy of reservoir was also analyzed, result indicated that reservoir was belong to high porosity and moderate permeability, lower sand body connectivity, strong aeolotropy.
Single well remaining oil saturation was evaluated according to using water flooded layer well logging interpretation, C/O well logging interpretation, produced fluid profile, outcome matching means, effective permeability curve means, saturation and permeability combining water drive curve means, water drive characteristic curve means and reservoir engineering means. Some elements affect remaining oil distribution such as effective thickness, porosity, remaining oil saturation, sedimentation microfacies, structure condition, reservoir aeolotropy, sand body position, well perforation completeness level and injector producer pair level were comprehensive researched using K-means. Many static state heterogeneous factors which controlling remaining oil, such as microtectonics, sedimentation microfacies, physical property heterogeneity, fluid property and many development heterogeneous factors such as the well-net adaptability, coning of oil well, the completeness of water flooding regime were studied. The result indicated some elements such as underwater distributary channel sedimentation microfacies, forward direction microtectonics, strong aeolotropy, sand body boundary position, incomplete well perforation and poor injector producer pair were good for remaining oil to distribute.
综合应用地震、地质、钻井、测井等资料,采用“标准层控制、旋回对比”的方法,由点(标准井)到线(对比剖面)、再由线到面(对比剖面骨架网及全区各井)对工区78口井进行小层细分对比,建立了地层格架模型。
利用地震瞬时振幅、瞬时频率属性从平面及空间对扇体的展布进行识别,利用测井GR曲线的小波变换图谱对目标层段垂向上进行研究。研究认为毕家地区沙三下总体上为退积式扇三角洲,四个砂层组垂向上确定为四期扇三角洲沉积。总结了毕家地区沙三下亚段陡坡扇三角洲沉积模式以及湖泊不断扩张沉积演化特征,并指出了古地形和边界同生断层是研究区扇三角洲形成的重要条件。
通过对油藏构造特征研究认为毕家地区主体构造为北北东走向、向南南西倾伏的鼻状构造,其东翼较陡、西翼较缓。对全区微构造进行了识别。
以取芯井岩芯分析为基础,分区分沉积相带分岩性分别建立了砾岩及含砾砂岩-砂岩孔隙度、渗透率、含油饱和度测井解释模型。对储层非均质性进行了分析,认为储层总体上,为中高孔中渗储层,砂体连通性差,非均质性强。
利用水淹层测井解释方法、核磁共振测井、C/O测井解释方法、产液剖面法、产量匹分法、相对渗透率曲线法、渗饱-水驱曲线法、水驱特征曲线法等测井及油藏工程的方法对单井的剩余油饱和度、剩余储量丰度进行求取。综合利用K-均值算法对影响剩余油潜力的有效厚度、孔隙度、剩余油饱和度、沉积微相、构造条件、储层非均质性、砂体位置、以及与开发条件有关的井射孔完善程度、井网注采对应程度等主要因素进行综合定量评价。对毕家地区储层剩余油分布定量研究结果表明:水下分流河道沉积微相、正向微构造条件、强非均质性、砂体位置处边缘、井射孔不完善、井网注采不对应等都是剩余油富集的有利区带。总结了研究区的剩余油分布规律和分布模式。
Well logging interpretation was used to evaluate single well remaining oil saturation and remaining reserves abundance in view of distinguishing feature of researched region such as complex structure, quickly variable sedimentary facies, strong aeolotropy, complex hydrocarbon water contact, little core testing data, inlet well close to fault and containing water and press difficult to match that would cause false or inaccuracy numerical modeling result. Remaining oil concentration potentiali- ty was found according to comprehensive analysis combing regional geology,seismic,logging and core analysis data, which provide strong guaranty for oil field development and good example for similar oil field.
Layer was carefully compared and multianalzed according to the rule that marker formation controlling and cycle comparing under the dirrect of sequence stratigraphy, sedimentology, petroleum geology, and combining using regional geology,seismic,logging and core analysis data.
Fan body was recognized from plane and interspace according to using seismic instantaneous amplitude, instantaneous frequency and instantaneous phase properties. vertical-variability was also recognized according to using the means wavelet alternation of GR well logging. The result indicate it was retrograding sequence in member III at Shahejie formation in Binnan oilfield Bijia block, and four sand layer group can be separated into four delta fan deposition. The vertical sequence of fan-delta front sand and turbidite is established, the sedimentation model of actic region fan-delta and sedimentation evolution characteristics which lake enlarges continuously are also established. At the same time the research indicates that old topography and border contemporaneous fault are most important elements which fan-delta is buildup.
Structure feature of in Binnan oilfield Bijia block was nose like structure which was North North East aligement, South South West pitch, steep eastern limb and soft western limb. Microtectonics in Binnan oilfield Bijia block also recognized.
Based on cores analyses of coring well, the four properties relationships(i.e., lithology, physical property, conductivity and oil bearing)between conglomerate and glutenite formation were studied; The logging interpretation models of porosity, permeability and oil saturation in conglomerate and glutenite reservoirs with different lithologies were set up. The aeolotropy of reservoir was also analyzed, result indicated that reservoir was belong to high porosity and moderate permeability, lower sand body connectivity, strong aeolotropy.
Single well remaining oil saturation was evaluated according to using water flooded layer well logging interpretation, C/O well logging interpretation, produced fluid profile, outcome matching means, effective permeability curve means, saturation and permeability combining water drive curve means, water drive characteristic curve means and reservoir engineering means. Some elements affect remaining oil distribution such as effective thickness, porosity, remaining oil saturation, sedimentation microfacies, structure condition, reservoir aeolotropy, sand body position, well perforation completeness level and injector producer pair level were comprehensive researched using K-means. Many static state heterogeneous factors which controlling remaining oil, such as microtectonics, sedimentation microfacies, physical property heterogeneity, fluid property and many development heterogeneous factors such as the well-net adaptability, coning of oil well, the completeness of water flooding regime were studied. The result indicated some elements such as underwater distributary channel sedimentation microfacies, forward direction microtectonics, strong aeolotropy, sand body boundary position, incomplete well perforation and poor injector producer pair were good for remaining oil to distribute.
引文
[1]沈平平,宋新民.现代油藏描述新方法[M].北京:石油工业出版社, 2003:1-58.
[2]穆龙新,裘择楠.不同开发阶段的油藏描述[M].北京:石油工业出版社, 1999: 20-83.
[3]穆龙新.油藏描述技术的一些发展动向[J].石油勘探与开发,1999, 26 (6):42- 46.
[4]申本科.油藏描述技术发展与展望[J].石油勘探与开发, 2003,30(4):78-81.
[5]陈程,贾爱林.厚油层内部相结构模式及其剩余油分布特征[J].石油学报, 2000, 21(5):99-102.
[6]伍涛,武法东,陈建渝,等.滨南油田毕家断块扇三角洲储层沉积学特征[J].石油与天然气地质, 1997, 18(2):145-150.
[7]武法东,陈建渝,刘从印,等.东营凹陷第三纪层序地层格架及沉积体系类型[J].现代地质, 1998, 12(4):558-566.
[8]魏兆亮,黄尚军.高含水期油藏数值模拟技术和方法[J].西南石油大学学报, 2008, 30(1):100-104.
[9]靳彦欣,林承焰.油藏数值模拟在剩余油预测中的不确定性分析[J].石油大学学报, 2004, 28(3):24-29.
[10]Vos, R.G.Sedimentology of an Ordovician Fan Delta Complex,Western LIbia, jear, sed.Petrology, 1981, Vol.29, No.2-3, P158-170.
[11]Pollard, J.E., Steel, R.j E.Facies sequences and Trace Fossils in Lacustrine Fan Delta Deposits, Hornelen Basin, Western Norway. Sedimentary Geology, 1982, Vol.32, No.1-2, P.63.
[12]张希明,刘青芳.塔北地区辫状三角洲沉积特征及油气勘探意义[J].新疆地质, 1997, 15(4):349-354.
[13]张春生,刘忠保.扇三角洲形成过程及演变规律[J].沉积学报, 2000, 18(4): 520 -526.
[14]贾爱林,穆龙新.扇三角洲储层露头精细研究方法[J].石油学报, 2000, 21(4): 105-110.
[15]赵霞飞,李宗飞.辽河盆地宋家洼陷上侏罗统扇三角洲和浪控三角洲[J].成都理工学院学报, 2002, 29(6):591-596.
[16]林松辉,王华.断陷盆地陡坡带砂砾岩扇体地震反射特征[J].地质科技情报, 2005, 24(4):55-59.
[17]孙怡,鲜本忠,林会喜.断陷湖盆陡坡带砂砾岩体沉积期次的划分技术[J].石油地球物理勘探, 2007, 42(4):471-476.
[18]陈程.扇三角洲前缘储层精细地质模型及优化开发调整博士论文[D].中国地质大学, 2002, 5.
[19]张一伟、熊琦华、王志章,等.陆相油藏描述[M].北京:石油工业出版社, 1997:24-30.
[20]高博禹.高含水期油藏剩余油预测方法研究博士论文[D].中国石油大学(北京),2005, 5.
[21]林承焰.剩余油形成与分布[M].山东:石油大学出版社, 2000:94-100.
[22]黄文芬,王允诚,王建勇,等.用灰聚类方法定量分析剩余油潜力大小[J].成都理工学院学报, 2001, 28(3):306-310.
[23]尹太举,张昌民,赵红静,等.依据高分辨率层序地层学进行剩余油分布预测[J].石油勘探与开发, 2001, 28(4):80-82.
[24]李胜利,于兴河,高兴军,等.剩余油分布研究新方法[J].石油与天然气地质[J]. 2003, 24(2):174-179.
[25]高兴军,于兴河,李胜利,等.利用神经网络技术预测剩余油分布[J].石油学报, 2005, 26(3):60-63.
[26]尹太举,张昌民,赵红静.地质综合法预测剩余油[J].地球科学进展, 2006, 21(5):539-544.
[27]黄辉,范玉平,孙立旭.“动静结合法”在剩余油定量分布中的应用研究[J].石油钻采工艺, 2006, 28(2):39-40
[28]耿站立,姜汉桥,陈民锋,等.高含水期油藏剩余油潜力定量化表征新方法[J].油气地质与采收率, 2007, 14(6):100-104.
[29]李丕龙.陆相断陷盆地油气地质与勘探[M].北京:石油工业出版社,2003:164- 167.
[30]林承焰,侯连华.辽河西部凹陷沙三段浊积岩储层中钙质夹层研究[J].沉积学报,1996(9):72-79.
[31]汪立君,陈新军.储层非均质性对剩余油分布的影响[J].地质科技情报, 2003, 22(2):71-73.
[32]王贵文,邓清平,唐为清.测井曲线谱分析方法及在沉积旋回研究中的应用[J].石油勘探与开发, 2002, 29(1):93-95.
[33]李凤杰,王多云,郑希民,等.测井曲线频谱分析在含煤地层沉积旋回研究中的应用[J].煤田地质与勘探, 2003, 31(6):14-18.
[34]陈茂山.测井资料的两种深度域频谱分析方法及在层序地层学研究中的应用[J].石油地球物理勘探, 1999, 34(1):57-64.
[35]焦养泉,周海民,庄新国,等.扇三角洲沉积体系及其与油气聚集关系[J].沉积学报, 1998, 16(1):70-75.
[36]张宏逵.剩余油分布研究[J].石油技术, 1992, 6(3):18-21.
[37]吴胜和,熊琦华,龚姚进,等.陡坡型和缓坡型扇三角洲及其油气储层意义[J].石油学报,1994,15(增刊):52-59.
[38]高博禹,彭仕宓,刘红歧.蒙古林砾岩油藏储层测井精细解释模型[J].测井技术, 2005, 29(1):55-58.
[39]张宇晓.砂砾岩厚油层的水淹层测井评价技术[J].测井技术, 1997,21(4):284-288.
[40]王延章.特高含水期油藏剩余油分布规律及控制因素研究博士论文[D].中国石油大学(华东),2007,5.
[41]张丽艳,才巨红,陈钢花.砂砾岩储集层含油性解释方法[J].测井技, 2002, 26 (2):134-136.
[42]蒲玉国.复杂断裂油田小构造及剩余油研究博士论文[D].中国科学院研究生院,2005,5.
[43]孙永传,李惠生.碎屑岩沉积相和沉积环境[M].北京:地质出版社, 1986:42- 45.
[44]邹文,陈爱萍,顾汉明.联合时频分析技术在地震勘探中的应用[J].勘探地球物理进展, 2004,8(4):246-250.
[45]车卓吾.测井资料分析手册[M].北京:石油工业出版社, 1995:95-100.
[46]E D Pittman. Porosity, Diagenesis and Productive Capability of Sandstone reservoir[J]. SEPM Special Publication, 1979, 26.
[47]W. J .E. van, M. R. Bentley, Shell Expro(Aberdeen). Quantification of Macro to Mesgascale Reservoir Heterogeneity A Practical Approach Based on Computer Mapping Techniques[J]. SPE, 2500:391- 398.
[48]D W Jordan, W A Pryar. Hierarchical Levels of Heterogeneity in a Mississippi River Meander Belt and Application to Reservoir Systems[J]. AAPG Bulletin,1992, 10:1601-1624.
[49]A .D Miall. Reservoir Heterogeneity in Fluvial Sandstones[J]. AAPG Bulletin, 1988, 72(6):682-697.
[50]孙振涛,孟宪军,慎国强,等.高精度合成地震记录制作技术研究[J].石油地球物理勘探,2002,37(6): 640-645.
[51]袁志云,孔令洪,王成林,等.频谱分解技术在储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):14-19.
[52]徐磊,操应长,王艳忠,等.东营凹陷古近系膏盐岩成因模式及其与油气藏的关系[J].中国石油大学学报,2008,32(3):30-36.
[53]陈茂山.测井资料的两种深度域频谱分析方法及在层序地层学研究中的应用[J].石油地球物理勘探, 1999, 34(1):58-63.
[54] P R Vail, R P Jr.Mitch. Thomposon.S.Ⅲ. Seismic stratigraphy andglobal changes of sea level[J]. AAPG Bulletin. 1977, 26: 63-82.
[55]陈建渝,伍涛,沈国华,等.滨南油田毕家油藏描述报告.滨南采油厂, 1995, 12.
[56]谢风猛,武法东,陈建渝,等.渤海湾盆地滨南油田砂砾岩扇体空间展布与成藏规律[J].石油实验地质, 2002, 24(4):335-340.
[57] P Andreas, P A Frederik. Detection of sedimentary cyclicity and stratigraphic completeness by wavelet analysis: an application to late Albian cyclostratigraphy of the western Canada sedimentary basin [J]. Journal of Sedimentary Research, 1999, 69(4): 862-875.
[58]S D M eyers, B G, Kelly, J O Brien. A n introduction to wavelet analysis in oceanography and meteorology: w ith application to the dispersion of Yannai waves[J]. MonWea Rev, 1993, 121: 2858-2866.
[59]刘魁元.渤南洼陷沙三段浊积水道砂岩油藏相控储层预测[J].中国石油大学学报,2008,32(1):51-54.
[60]国景星,刘媛.济阳坳陷新近系层序地层构型[J].中国石油大学学报,2008, 32(1):1-5.
[61]李世雄,刘家琦.小波变换与反演数学基础[M].北京:地质出版社, 1994:21- 23.
[62]陈正星.小波分析算法与应用[M].西安:西安交通大学出版社, 1998:14-32.
[63]余继峰,李增学.测井数据小波变换及其地质意义[J].中国矿业大学学报, 2003, 32(3):336-338.
[64]A Lopez J et al. Identification of deltaic facies with 3-D seismic coherency and spectral decomposition cube. Abstract of Istanbul’97 International Geophysical Conference and Exposition, 1997:7-10.
[65]Greg Partyka, James Gridley and John Lopez. Interpretational applications of apectraldecomposition in reservoir characterization[J]. The Leading Edge, 1999(3): 353-360.
[66]张忠伟译.频谱分解在油藏描述中的解释性应用[J].国外油气勘探, 2000, 12 (1):94-101.
[67]李霞,范宜仁,房文静,等.测井多尺度分析方法用于层序地层划分研究[J].新疆地质, 2006,24(4):450-456.
[68]徐旺林,王天琦,魏立花,等.沿层属性分析在储层研究中的应用[J].石油地球物理勘探, 2002, 37(增刊):84-88.
[69]Chen Q and Sidney S. Seismic attribute technology for reservoir forecasting and monitoring[J]. The Leading Edge, 1997, 16: 445-456.
[70]陈永波,徐旺林.陆相地层渗透性砂岩预测方法[J].石油地球物理勘探,1999, 34(1):93-98
[71]Xu Wanglin, Zhao Yingcheng, Wang Tianqi. Application of comprehensive reservoir prediction technique in areas with complicated lithologies1[J]. Bulletin of Chinese Geophysical Society, 2000, 4.
[72]陈世悦,鄢继华,袁文芳.滨南、利津地区古近系沉积相演化[J].石油勘探与开发, 2003, 30(3):36-38.
[73]毕义泉.东营凹陷滨县凸起南坡砂砾岩体成因模式与成藏规律[J].石油大学学报, 2002, 26(4):12-16.
[74]武法东,谢凤猛,李湘军,等.利津断裂带复杂砂砾岩扇体的迁移研究[J].石油勘探与开发, 2002, 29(6):22-25.
[75]杨剑萍,石德文.东营凹陷北部永921地区渐新世沙三段和沙四段扇三角洲沉积[J].石油大学学报, 2000,24(1):10-17.
[76]S H Begg, et al. Assigning Effective Values to Simulator Grid-block Parameters Heterogeneous Reservoirs[J]. SPE 1754-1987.
[77]Chandler M A, et al. Effects of Stratigaphic Heterogeneity on Permeability in Eolian Sandstone Sequence, Page Sandstone, Northern Arizona[J]. AAPG Bulletin, 1989, 73(5):658-668.
[78]M A Chandler, etal. Effects of stratigaphic heterogeneity on permeability ineolian sandstone sequence, Page sandstone, North-ernArizona[J]. A.A.P.G Bulletin,1989, 73(5):658-668.
[79]侯连华.自然电位基线偏移影响因素的实验研究[J].石油大学学报,2001,25(1):93-98.
[80]田中元,穆龙新,孙德明,等.砂砾岩水淹层测井特点及机理研究[J].石油学报, 2002,23(6):50-55.
[81]张庆国,鲍志东,那未红.注水开发油田水淹油层测井响应特征[J].大庆石油学院学报, 2006, 30(4):101-105.
[82]申辉林,陈清华.孤岛油田中一区水淹层测井资料评价方法[J].石油大学学报, 1997, 21(4):15-17.
[83]申辉林,韩清忠,邰子伟,等.测井多井解释技术在克拉玛依砾岩油藏水淹层评价中的应用[J].石油大学学报, 1998, 22(2):21-25.
[84]侯连华,王京红.水淹层测井评价方法[J].石油学报, 1999, 20(3):49-55.
[85]高印军,李才雄,王大兴,等.水淹层测井解释技术研究与应用[J].石油勘探与开发, 2001, 28(5):42-45.
[86]宋渝新,张君劼，杨宏，等.综合利用测井资料评价油气层—以克拉玛依石南油田为例[J].新疆石油地质, 2006, 27(1):96-98.
[87]蔺景龙,张庆国,宋延杰,等.水淹层测井分析[J].大庆石油学院学报, 2001, 25(3):25-28.
[88]高楚桥,张超谟,肖承文,等. L油田含水率计算及水淹等级划分[J].测井技术, 2004, 28(1):75-77.
[89]宋子齐,赵磊,王瑞飞,等.利用常规测井方法识别划分水淹层[J].西安石油学院学报, 2003, 18(6):50-53.
[90]张斌成,石晓燕,刘瑛,等.水淹层测井综合解释及水淹特性研究[J].测井技术, 2005, 29(6):545-547.
[91]杨景强,卢艳,马宏宇,等.水淹层地层水电阻率变化规律研究[J].测井技术, 2006, 30(3):195-197.
[92]王美珍,俞军.用测井资料确定大庆长垣水淹层混合液电阻率[J].大庆石油地质与开发, 2007, 26(2):120-122.
[93]鞠武,杨宏,韩学辉.准噶尔盆地某砾岩油藏水淹层的评价方法研究(I) [J].地球物理学进展,2008, 34(5):25-31.
[94]肖波,杨宏,韩学辉.准噶尔盆地某砾岩油藏水淹层的评价方法研究(II)[J].地球物理学进展,2009, 35(1):15-19.
[95]侯连华.测井评价和预测剩余油方法研究博士论文[D].中国石油大学(北京),2003,5.
[96]王胜奎,罗水亮,张俊.应用核磁共振测井资料评价低渗透储层[J].断块油气田,2007, 14(6):80-83.
[97]陆大卫,汪国法.核磁共振测井测井理论与应用[M].北京:石油工业出版社, 1998:18-22.
[98]陆大卫.石油测井新技术适用性典型集[M].北京:石油工业出版社, 2001: 154 -156.
[99]肖立志,柴细元,孙宝喜.核磁共振测井测井资料解释与应用导论[M].北京:石油工业出版社, 2001:54-58.
[100]黄文芬.孤东七区西储层非均质表征及剩余油定量描述博士论文[D].成都理工学院,2001,5.
[101]戴启德、纪友亮.油气储层地质学[M].山东:石油大学出版社, 1996:201-205.
[102]韩大匡,万仁溥,等.多层砂岩油藏开发模式[M].北京:石油工业出版社, 1999:137-240.
[103]王书宝,牛栓文.东辛油田多油层复杂断块油藏高含水后期细分层系研究[J].石油勘探与开发, 2004,31(3):116-120.
[104]王熙照,王亚东.学习特征权值对K-均值聚类算法的优化[J].计算机研究与发展, 2003, 30(6):870-875.
[105]V Delport, N Koschorreck. Genetic Algorithm for Codebook Design in Vector Quantisation[J]. Electronics Letters, 1995, 31(2).
[106]Pan J S, Mcinnes F R, Jack M A. VQ Codebook Design Using Genetic Algorithms[J]. Electronics Letters, 1995, 31,(17).
[107]Davis L. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991.
[108]D Bhandari, C A Murthy, S K Pal. Genetic Algorithm with Elitist Model and Its Convergence[J]. International Journal of Pattern Recognition Artificial Intelligence, 1996.
[109] W H Equitz. A New Vector Quantization Clustering Algorithm. IEEE Trans[J]. ASSP, 1989, 37(10): 1568-1575.
[110]束青林.孤岛油田河流相储层结构与剩余油分布规律研究博士论文[D].中国科学院研究生院,2005,4.
[111]付国民,李永军,石京平.特高含水期扇三角洲储集层剩余油分布及挖潜途径[J].成都理工大学学报,2003,30(2):180-184.
[112]俞启泰.注水油藏大尺度未波及剩余油的三大富集区[J].石油学报,2000 ,21 (2):45-50.
[113]李红南,徐怀民,许宁,等.低渗透储层非均质模式与剩余油分布[J].石油实验地质,2006,28 (4): 404-408.
[114]徐安娜,穆龙新,裘怿楠.我国不同沉积类型储集层中的储量和可动剩余油分布规律[J].石油勘探与发开发,1998,25(5):41-44.
[115]陈程,贾爱林,孙义梅.厚油层内部相结构模式及其剩余油分布特征[J].石油学报,2000,21(5):99-105.
[116]陈程.碎屑岩储层渗透率分维计算及其意义[J].地质论评,1994,51(1):8-14.
[117]李庆明,陈程,等.双河油田油砂体建筑结构要素识别[J].河南石油,1999,17(1):11- 16.
[2]穆龙新,裘择楠.不同开发阶段的油藏描述[M].北京:石油工业出版社, 1999: 20-83.
[3]穆龙新.油藏描述技术的一些发展动向[J].石油勘探与开发,1999, 26 (6):42- 46.
[4]申本科.油藏描述技术发展与展望[J].石油勘探与开发, 2003,30(4):78-81.
[5]陈程,贾爱林.厚油层内部相结构模式及其剩余油分布特征[J].石油学报, 2000, 21(5):99-102.
[6]伍涛,武法东,陈建渝,等.滨南油田毕家断块扇三角洲储层沉积学特征[J].石油与天然气地质, 1997, 18(2):145-150.
[7]武法东,陈建渝,刘从印,等.东营凹陷第三纪层序地层格架及沉积体系类型[J].现代地质, 1998, 12(4):558-566.
[8]魏兆亮,黄尚军.高含水期油藏数值模拟技术和方法[J].西南石油大学学报, 2008, 30(1):100-104.
[9]靳彦欣,林承焰.油藏数值模拟在剩余油预测中的不确定性分析[J].石油大学学报, 2004, 28(3):24-29.
[10]Vos, R.G.Sedimentology of an Ordovician Fan Delta Complex,Western LIbia, jear, sed.Petrology, 1981, Vol.29, No.2-3, P158-170.
[11]Pollard, J.E., Steel, R.j E.Facies sequences and Trace Fossils in Lacustrine Fan Delta Deposits, Hornelen Basin, Western Norway. Sedimentary Geology, 1982, Vol.32, No.1-2, P.63.
[12]张希明,刘青芳.塔北地区辫状三角洲沉积特征及油气勘探意义[J].新疆地质, 1997, 15(4):349-354.
[13]张春生,刘忠保.扇三角洲形成过程及演变规律[J].沉积学报, 2000, 18(4): 520 -526.
[14]贾爱林,穆龙新.扇三角洲储层露头精细研究方法[J].石油学报, 2000, 21(4): 105-110.
[15]赵霞飞,李宗飞.辽河盆地宋家洼陷上侏罗统扇三角洲和浪控三角洲[J].成都理工学院学报, 2002, 29(6):591-596.
[16]林松辉,王华.断陷盆地陡坡带砂砾岩扇体地震反射特征[J].地质科技情报, 2005, 24(4):55-59.
[17]孙怡,鲜本忠,林会喜.断陷湖盆陡坡带砂砾岩体沉积期次的划分技术[J].石油地球物理勘探, 2007, 42(4):471-476.
[18]陈程.扇三角洲前缘储层精细地质模型及优化开发调整博士论文[D].中国地质大学, 2002, 5.
[19]张一伟、熊琦华、王志章,等.陆相油藏描述[M].北京:石油工业出版社, 1997:24-30.
[20]高博禹.高含水期油藏剩余油预测方法研究博士论文[D].中国石油大学(北京),2005, 5.
[21]林承焰.剩余油形成与分布[M].山东:石油大学出版社, 2000:94-100.
[22]黄文芬,王允诚,王建勇,等.用灰聚类方法定量分析剩余油潜力大小[J].成都理工学院学报, 2001, 28(3):306-310.
[23]尹太举,张昌民,赵红静,等.依据高分辨率层序地层学进行剩余油分布预测[J].石油勘探与开发, 2001, 28(4):80-82.
[24]李胜利,于兴河,高兴军,等.剩余油分布研究新方法[J].石油与天然气地质[J]. 2003, 24(2):174-179.
[25]高兴军,于兴河,李胜利,等.利用神经网络技术预测剩余油分布[J].石油学报, 2005, 26(3):60-63.
[26]尹太举,张昌民,赵红静.地质综合法预测剩余油[J].地球科学进展, 2006, 21(5):539-544.
[27]黄辉,范玉平,孙立旭.“动静结合法”在剩余油定量分布中的应用研究[J].石油钻采工艺, 2006, 28(2):39-40
[28]耿站立,姜汉桥,陈民锋,等.高含水期油藏剩余油潜力定量化表征新方法[J].油气地质与采收率, 2007, 14(6):100-104.
[29]李丕龙.陆相断陷盆地油气地质与勘探[M].北京:石油工业出版社,2003:164- 167.
[30]林承焰,侯连华.辽河西部凹陷沙三段浊积岩储层中钙质夹层研究[J].沉积学报,1996(9):72-79.
[31]汪立君,陈新军.储层非均质性对剩余油分布的影响[J].地质科技情报, 2003, 22(2):71-73.
[32]王贵文,邓清平,唐为清.测井曲线谱分析方法及在沉积旋回研究中的应用[J].石油勘探与开发, 2002, 29(1):93-95.
[33]李凤杰,王多云,郑希民,等.测井曲线频谱分析在含煤地层沉积旋回研究中的应用[J].煤田地质与勘探, 2003, 31(6):14-18.
[34]陈茂山.测井资料的两种深度域频谱分析方法及在层序地层学研究中的应用[J].石油地球物理勘探, 1999, 34(1):57-64.
[35]焦养泉,周海民,庄新国,等.扇三角洲沉积体系及其与油气聚集关系[J].沉积学报, 1998, 16(1):70-75.
[36]张宏逵.剩余油分布研究[J].石油技术, 1992, 6(3):18-21.
[37]吴胜和,熊琦华,龚姚进,等.陡坡型和缓坡型扇三角洲及其油气储层意义[J].石油学报,1994,15(增刊):52-59.
[38]高博禹,彭仕宓,刘红歧.蒙古林砾岩油藏储层测井精细解释模型[J].测井技术, 2005, 29(1):55-58.
[39]张宇晓.砂砾岩厚油层的水淹层测井评价技术[J].测井技术, 1997,21(4):284-288.
[40]王延章.特高含水期油藏剩余油分布规律及控制因素研究博士论文[D].中国石油大学(华东),2007,5.
[41]张丽艳,才巨红,陈钢花.砂砾岩储集层含油性解释方法[J].测井技, 2002, 26 (2):134-136.
[42]蒲玉国.复杂断裂油田小构造及剩余油研究博士论文[D].中国科学院研究生院,2005,5.
[43]孙永传,李惠生.碎屑岩沉积相和沉积环境[M].北京:地质出版社, 1986:42- 45.
[44]邹文,陈爱萍,顾汉明.联合时频分析技术在地震勘探中的应用[J].勘探地球物理进展, 2004,8(4):246-250.
[45]车卓吾.测井资料分析手册[M].北京:石油工业出版社, 1995:95-100.
[46]E D Pittman. Porosity, Diagenesis and Productive Capability of Sandstone reservoir[J]. SEPM Special Publication, 1979, 26.
[47]W. J .E. van, M. R. Bentley, Shell Expro(Aberdeen). Quantification of Macro to Mesgascale Reservoir Heterogeneity A Practical Approach Based on Computer Mapping Techniques[J]. SPE, 2500:391- 398.
[48]D W Jordan, W A Pryar. Hierarchical Levels of Heterogeneity in a Mississippi River Meander Belt and Application to Reservoir Systems[J]. AAPG Bulletin,1992, 10:1601-1624.
[49]A .D Miall. Reservoir Heterogeneity in Fluvial Sandstones[J]. AAPG Bulletin, 1988, 72(6):682-697.
[50]孙振涛,孟宪军,慎国强,等.高精度合成地震记录制作技术研究[J].石油地球物理勘探,2002,37(6): 640-645.
[51]袁志云,孔令洪,王成林,等.频谱分解技术在储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):14-19.
[52]徐磊,操应长,王艳忠,等.东营凹陷古近系膏盐岩成因模式及其与油气藏的关系[J].中国石油大学学报,2008,32(3):30-36.
[53]陈茂山.测井资料的两种深度域频谱分析方法及在层序地层学研究中的应用[J].石油地球物理勘探, 1999, 34(1):58-63.
[54] P R Vail, R P Jr.Mitch. Thomposon.S.Ⅲ. Seismic stratigraphy andglobal changes of sea level[J]. AAPG Bulletin. 1977, 26: 63-82.
[55]陈建渝,伍涛,沈国华,等.滨南油田毕家油藏描述报告.滨南采油厂, 1995, 12.
[56]谢风猛,武法东,陈建渝,等.渤海湾盆地滨南油田砂砾岩扇体空间展布与成藏规律[J].石油实验地质, 2002, 24(4):335-340.
[57] P Andreas, P A Frederik. Detection of sedimentary cyclicity and stratigraphic completeness by wavelet analysis: an application to late Albian cyclostratigraphy of the western Canada sedimentary basin [J]. Journal of Sedimentary Research, 1999, 69(4): 862-875.
[58]S D M eyers, B G, Kelly, J O Brien. A n introduction to wavelet analysis in oceanography and meteorology: w ith application to the dispersion of Yannai waves[J]. MonWea Rev, 1993, 121: 2858-2866.
[59]刘魁元.渤南洼陷沙三段浊积水道砂岩油藏相控储层预测[J].中国石油大学学报,2008,32(1):51-54.
[60]国景星,刘媛.济阳坳陷新近系层序地层构型[J].中国石油大学学报,2008, 32(1):1-5.
[61]李世雄,刘家琦.小波变换与反演数学基础[M].北京:地质出版社, 1994:21- 23.
[62]陈正星.小波分析算法与应用[M].西安:西安交通大学出版社, 1998:14-32.
[63]余继峰,李增学.测井数据小波变换及其地质意义[J].中国矿业大学学报, 2003, 32(3):336-338.
[64]A Lopez J et al. Identification of deltaic facies with 3-D seismic coherency and spectral decomposition cube. Abstract of Istanbul’97 International Geophysical Conference and Exposition, 1997:7-10.
[65]Greg Partyka, James Gridley and John Lopez. Interpretational applications of apectraldecomposition in reservoir characterization[J]. The Leading Edge, 1999(3): 353-360.
[66]张忠伟译.频谱分解在油藏描述中的解释性应用[J].国外油气勘探, 2000, 12 (1):94-101.
[67]李霞,范宜仁,房文静,等.测井多尺度分析方法用于层序地层划分研究[J].新疆地质, 2006,24(4):450-456.
[68]徐旺林,王天琦,魏立花,等.沿层属性分析在储层研究中的应用[J].石油地球物理勘探, 2002, 37(增刊):84-88.
[69]Chen Q and Sidney S. Seismic attribute technology for reservoir forecasting and monitoring[J]. The Leading Edge, 1997, 16: 445-456.
[70]陈永波,徐旺林.陆相地层渗透性砂岩预测方法[J].石油地球物理勘探,1999, 34(1):93-98
[71]Xu Wanglin, Zhao Yingcheng, Wang Tianqi. Application of comprehensive reservoir prediction technique in areas with complicated lithologies1[J]. Bulletin of Chinese Geophysical Society, 2000, 4.
[72]陈世悦,鄢继华,袁文芳.滨南、利津地区古近系沉积相演化[J].石油勘探与开发, 2003, 30(3):36-38.
[73]毕义泉.东营凹陷滨县凸起南坡砂砾岩体成因模式与成藏规律[J].石油大学学报, 2002, 26(4):12-16.
[74]武法东,谢凤猛,李湘军,等.利津断裂带复杂砂砾岩扇体的迁移研究[J].石油勘探与开发, 2002, 29(6):22-25.
[75]杨剑萍,石德文.东营凹陷北部永921地区渐新世沙三段和沙四段扇三角洲沉积[J].石油大学学报, 2000,24(1):10-17.
[76]S H Begg, et al. Assigning Effective Values to Simulator Grid-block Parameters Heterogeneous Reservoirs[J]. SPE 1754-1987.
[77]Chandler M A, et al. Effects of Stratigaphic Heterogeneity on Permeability in Eolian Sandstone Sequence, Page Sandstone, Northern Arizona[J]. AAPG Bulletin, 1989, 73(5):658-668.
[78]M A Chandler, etal. Effects of stratigaphic heterogeneity on permeability ineolian sandstone sequence, Page sandstone, North-ernArizona[J]. A.A.P.G Bulletin,1989, 73(5):658-668.
[79]侯连华.自然电位基线偏移影响因素的实验研究[J].石油大学学报,2001,25(1):93-98.
[80]田中元,穆龙新,孙德明,等.砂砾岩水淹层测井特点及机理研究[J].石油学报, 2002,23(6):50-55.
[81]张庆国,鲍志东,那未红.注水开发油田水淹油层测井响应特征[J].大庆石油学院学报, 2006, 30(4):101-105.
[82]申辉林,陈清华.孤岛油田中一区水淹层测井资料评价方法[J].石油大学学报, 1997, 21(4):15-17.
[83]申辉林,韩清忠,邰子伟,等.测井多井解释技术在克拉玛依砾岩油藏水淹层评价中的应用[J].石油大学学报, 1998, 22(2):21-25.
[84]侯连华,王京红.水淹层测井评价方法[J].石油学报, 1999, 20(3):49-55.
[85]高印军,李才雄,王大兴,等.水淹层测井解释技术研究与应用[J].石油勘探与开发, 2001, 28(5):42-45.
[86]宋渝新,张君劼，杨宏，等.综合利用测井资料评价油气层—以克拉玛依石南油田为例[J].新疆石油地质, 2006, 27(1):96-98.
[87]蔺景龙,张庆国,宋延杰,等.水淹层测井分析[J].大庆石油学院学报, 2001, 25(3):25-28.
[88]高楚桥,张超谟,肖承文,等. L油田含水率计算及水淹等级划分[J].测井技术, 2004, 28(1):75-77.
[89]宋子齐,赵磊,王瑞飞,等.利用常规测井方法识别划分水淹层[J].西安石油学院学报, 2003, 18(6):50-53.
[90]张斌成,石晓燕,刘瑛,等.水淹层测井综合解释及水淹特性研究[J].测井技术, 2005, 29(6):545-547.
[91]杨景强,卢艳,马宏宇,等.水淹层地层水电阻率变化规律研究[J].测井技术, 2006, 30(3):195-197.
[92]王美珍,俞军.用测井资料确定大庆长垣水淹层混合液电阻率[J].大庆石油地质与开发, 2007, 26(2):120-122.
[93]鞠武,杨宏,韩学辉.准噶尔盆地某砾岩油藏水淹层的评价方法研究(I) [J].地球物理学进展,2008, 34(5):25-31.
[94]肖波,杨宏,韩学辉.准噶尔盆地某砾岩油藏水淹层的评价方法研究(II)[J].地球物理学进展,2009, 35(1):15-19.
[95]侯连华.测井评价和预测剩余油方法研究博士论文[D].中国石油大学(北京),2003,5.
[96]王胜奎,罗水亮,张俊.应用核磁共振测井资料评价低渗透储层[J].断块油气田,2007, 14(6):80-83.
[97]陆大卫,汪国法.核磁共振测井测井理论与应用[M].北京:石油工业出版社, 1998:18-22.
[98]陆大卫.石油测井新技术适用性典型集[M].北京:石油工业出版社, 2001: 154 -156.
[99]肖立志,柴细元,孙宝喜.核磁共振测井测井资料解释与应用导论[M].北京:石油工业出版社, 2001:54-58.
[100]黄文芬.孤东七区西储层非均质表征及剩余油定量描述博士论文[D].成都理工学院,2001,5.
[101]戴启德、纪友亮.油气储层地质学[M].山东:石油大学出版社, 1996:201-205.
[102]韩大匡,万仁溥,等.多层砂岩油藏开发模式[M].北京:石油工业出版社, 1999:137-240.
[103]王书宝,牛栓文.东辛油田多油层复杂断块油藏高含水后期细分层系研究[J].石油勘探与开发, 2004,31(3):116-120.
[104]王熙照,王亚东.学习特征权值对K-均值聚类算法的优化[J].计算机研究与发展, 2003, 30(6):870-875.
[105]V Delport, N Koschorreck. Genetic Algorithm for Codebook Design in Vector Quantisation[J]. Electronics Letters, 1995, 31(2).
[106]Pan J S, Mcinnes F R, Jack M A. VQ Codebook Design Using Genetic Algorithms[J]. Electronics Letters, 1995, 31,(17).
[107]Davis L. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991.
[108]D Bhandari, C A Murthy, S K Pal. Genetic Algorithm with Elitist Model and Its Convergence[J]. International Journal of Pattern Recognition Artificial Intelligence, 1996.
[109] W H Equitz. A New Vector Quantization Clustering Algorithm. IEEE Trans[J]. ASSP, 1989, 37(10): 1568-1575.
[110]束青林.孤岛油田河流相储层结构与剩余油分布规律研究博士论文[D].中国科学院研究生院,2005,4.
[111]付国民,李永军,石京平.特高含水期扇三角洲储集层剩余油分布及挖潜途径[J].成都理工大学学报,2003,30(2):180-184.
[112]俞启泰.注水油藏大尺度未波及剩余油的三大富集区[J].石油学报,2000 ,21 (2):45-50.
[113]李红南,徐怀民,许宁,等.低渗透储层非均质模式与剩余油分布[J].石油实验地质,2006,28 (4): 404-408.
[114]徐安娜,穆龙新,裘怿楠.我国不同沉积类型储集层中的储量和可动剩余油分布规律[J].石油勘探与发开发,1998,25(5):41-44.
[115]陈程,贾爱林,孙义梅.厚油层内部相结构模式及其剩余油分布特征[J].石油学报,2000,21(5):99-105.
[116]陈程.碎屑岩储层渗透率分维计算及其意义[J].地质论评,1994,51(1):8-14.
[117]李庆明,陈程,等.双河油田油砂体建筑结构要素识别[J].河南石油,1999,17(1):11- 16.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |