地震资料在密井网区井间砂体预测中的应用研究——以松辽盆地北部杏树岗地区杏X区为例
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摘要
松辽盆地北部杏树岗油田面临的主要问题是沉积微相和主力砂体的空间展布复杂,给油田的整体开发造成很大的困扰。以杏X区块为例,综合利用地震、地质和测井资料,研究垂向和平面沉积微相的展布特征和预测井间砂体的分布。利用井震高分辨率层序地层划分与对比技术、沉积学导向储层对比技术的基础,提取多种地震属性,通过采用聚类分析方法对提取的井点地震属性和井点储层参数进行多元统计相关性分析,预测井间砂厚及含砂率等储层参数的变化,由此编制出目的层段的沉积微相平面展布图。通过聚类分析,表明地震属性中均方根振幅、弧长和平均反射强度三种属性与储层参数的相关性最好。在两个井点间插入一个属性点(虚拟井点),利用相关方程计算出地震属性点的储层参数(含砂率或者砂岩厚度)。研究区加上虚拟井点后总井数增加为为637口,井距相应的由300m缩小为150m,研究表明地震资料的应用可以更精细、准确、定量地预测和反映沉积微相展布特征和井间砂体的分布,从而为油田下一步加密井的部署及剩余油分布规律研究奠定基础。
Main problems in Xingshugang oil field of North Songliao Basin are that the spatial distribution of microfacies and sand is very complex.And these bring about many disturbances during developing.With SongLiao basin Xingshugang Xing X region for example,making use of seismic,geology and logging data,researching the characteristic of the areal and vertical microfacies.Making use of high resolution sequence stratigraphy division and correlation technology and reservoir correlation technology,extracting the different attributes.By clustering,analysising multivariate correlation between seismic attributes and reservoir parameters.And predicting the change of sand thickness and sand factor? and so drawing up? the ? microfacies distribution map.Cluster analysis showed that RMS,ARC and average reflection strength'coherence is the best with the reservoir parameters.Inserting a attribute point at two well point,calculating their value.Thus estimating the sand thickness and the sand rate.Research result demonstrates,the number of original well is 307,combining seisimic data analysis,the number is 637.the well spacing reduce to 150 meters from 300 meters.The results show that the application of seismic data can be more precise,accurate,quantitatively forecasting and reflecting the characteristics of sedimentary facies distribution and the distribution of sand bodies between wells.So these settle the base of deploying the well location and the research of remaining oil.
Main problems in Xingshugang oil field of North Songliao Basin are that the spatial distribution of microfacies and sand is very complex.And these bring about many disturbances during developing.With SongLiao basin Xingshugang Xing X region for example,making use of seismic,geology and logging data,researching the characteristic of the areal and vertical microfacies.Making use of high resolution sequence stratigraphy division and correlation technology and reservoir correlation technology,extracting the different attributes.By clustering,analysising multivariate correlation between seismic attributes and reservoir parameters.And predicting the change of sand thickness and sand factor? and so drawing up? the ? microfacies distribution map.Cluster analysis showed that RMS,ARC and average reflection strength'coherence is the best with the reservoir parameters.Inserting a attribute point at two well point,calculating their value.Thus estimating the sand thickness and the sand rate.Research result demonstrates,the number of original well is 307,combining seisimic data analysis,the number is 637.the well spacing reduce to 150 meters from 300 meters.The results show that the application of seismic data can be more precise,accurate,quantitatively forecasting and reflecting the characteristics of sedimentary facies distribution and the distribution of sand bodies between wells.So these settle the base of deploying the well location and the research of remaining oil.
引文
[1]杨万里,高瑞琪.松辽盆地陆相油气生产运移和聚集[M].黑龙江科学技术出版社.
[2]凌云研究组,基本地震属性在沉积环境解释中的应用研究[J].石油地球物理勘探,2002,38(6):642~653.
[3]邹才能,张颖,等.油气勘探开发实用地震新技术[M].北京:石油工业出版社,2002.
[4]何平.数理统计与多元统计[M].成都:西南交通大学出版设,2004.
[5]邓宏文,王红亮,祝永军,等.高分辨率层序地层学——原理及应用[M].北京:石油工业出版社,2002.
[6]裘亦楠,薛叔浩.油气储层评价技术[M].北京:石油工业出版社,1997.
[7]薛培华.河流相点坝储层模式概论[M].北京:石油工业出版社,1991.
[8]赵翰卿,付志国,吕晓光,等.大型河流-三角洲沉积储层精细描述方法[J].石油学报,2000,21(4):109~113.
[9]赵军.地震属性技术在沉积相研究中的应用[J].石油物探,2004,(43):67~69.
[10]高瑞琪,蔡希源.松辽盆地油气田形成条件与分布规律[M].北京:石油工业出版社,1997.
[11]杨敏芳,杨瑞召,张春雷.地震约束地质建模技术在松辽盆地古537区块储层预测中的应用[J].石油物探,2010,49(1):58~61.
[12]赵殿栋.高精度地震勘探技术发展回顾与展望[J].石油物探,2009,48(5):425~435.
[13]张卫华,刘忠群.沉积背景控制下的储层预测方法——以大牛地气田TGM地区的应用为例[J].石油物探,2009,48(4):377~382.
[14]邓传伟,李莉华,金银姬,等.波形分类技术在储层沉积微相预测中的应用[J].石油物探,2008,47(3):262~265.
[15]Clayton V.Deutsch and S.Srinivasan.Improvedreservoir management through ranking stochas-tic reservoir models,SPE 35411,1996.
[16]Deutsch C.V,and A.G.Journel.GSLIB:Geostatistical Software Library and UsersGuide.New York:Oxford University Press,1992.
[2]凌云研究组,基本地震属性在沉积环境解释中的应用研究[J].石油地球物理勘探,2002,38(6):642~653.
[3]邹才能,张颖,等.油气勘探开发实用地震新技术[M].北京:石油工业出版社,2002.
[4]何平.数理统计与多元统计[M].成都:西南交通大学出版设,2004.
[5]邓宏文,王红亮,祝永军,等.高分辨率层序地层学——原理及应用[M].北京:石油工业出版社,2002.
[6]裘亦楠,薛叔浩.油气储层评价技术[M].北京:石油工业出版社,1997.
[7]薛培华.河流相点坝储层模式概论[M].北京:石油工业出版社,1991.
[8]赵翰卿,付志国,吕晓光,等.大型河流-三角洲沉积储层精细描述方法[J].石油学报,2000,21(4):109~113.
[9]赵军.地震属性技术在沉积相研究中的应用[J].石油物探,2004,(43):67~69.
[10]高瑞琪,蔡希源.松辽盆地油气田形成条件与分布规律[M].北京:石油工业出版社,1997.
[11]杨敏芳,杨瑞召,张春雷.地震约束地质建模技术在松辽盆地古537区块储层预测中的应用[J].石油物探,2010,49(1):58~61.
[12]赵殿栋.高精度地震勘探技术发展回顾与展望[J].石油物探,2009,48(5):425~435.
[13]张卫华,刘忠群.沉积背景控制下的储层预测方法——以大牛地气田TGM地区的应用为例[J].石油物探,2009,48(4):377~382.
[14]邓传伟,李莉华,金银姬,等.波形分类技术在储层沉积微相预测中的应用[J].石油物探,2008,47(3):262~265.
[15]Clayton V.Deutsch and S.Srinivasan.Improvedreservoir management through ranking stochas-tic reservoir models,SPE 35411,1996.
[16]Deutsch C.V,and A.G.Journel.GSLIB:Geostatistical Software Library and UsersGuide.New York:Oxford University Press,1992.
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