随机建模在大牛地气田新区早期气藏描述中的应用
|
摘要
鄂尔多斯盆地大牛地气田属于典型的低渗透致密气田,具有储量规模大、发育气层多、储层非均质性强等特点。在早期地质资料较少的情况下,如何客观地预测储层分布及其含气性成为难点。文中的研究对象为大牛地气田新区盒1段河流相致密砂岩储层,以层序地层学、沉积学和地质统计学等多学科的理论和方法为指导,根据现有的钻井、测井、地震、岩心、露头等资料,在基础地质研究的基础上,采用相控随机建模,以相邻开发成熟密井网区精细储层地质模型作为原型模型,通过地质类比分析,确定新区的储层统计特征参数,建立精细可靠的三维储层地质模型,同时结合储层物性下限预测各小层有利储层的分布,为大牛地气田进一步开发提供依据。
Daniudi Gas Field in Ordos Basin belongs to typical low permeability and tight sandstone gas field,which is characterized by a large scale of reserves,multiple gas layers and strong heterogeneity.In the case of lacking the geological data in early time,it becomes a problem how to predict the distribution of gas and reservoir objectively in gas reservoir description.Taking the fluvial low permeability and tight reservoir in new area of the first member of Shihezi Formation in Daniudi Gas Field as an example,following the theories of sequence stratigraphy,sedimentology and geostatistics and starting from principles of fine reservoir modeling,this paper determines the statistical characteristic parameters by the analysis of geological analogy based on the data from drilling,logging,coring,outcrop and geology research.A fine and credible three-dimensional geological model of new area is established by using facies-constrained stochastic modeling.Combined with the minimum limit of physical properties,the distribution of favorable reservoir is predicted,which can provide a basis for the further development of Daniudi Gas Field.
Daniudi Gas Field in Ordos Basin belongs to typical low permeability and tight sandstone gas field,which is characterized by a large scale of reserves,multiple gas layers and strong heterogeneity.In the case of lacking the geological data in early time,it becomes a problem how to predict the distribution of gas and reservoir objectively in gas reservoir description.Taking the fluvial low permeability and tight reservoir in new area of the first member of Shihezi Formation in Daniudi Gas Field as an example,following the theories of sequence stratigraphy,sedimentology and geostatistics and starting from principles of fine reservoir modeling,this paper determines the statistical characteristic parameters by the analysis of geological analogy based on the data from drilling,logging,coring,outcrop and geology research.A fine and credible three-dimensional geological model of new area is established by using facies-constrained stochastic modeling.Combined with the minimum limit of physical properties,the distribution of favorable reservoir is predicted,which can provide a basis for the further development of Daniudi Gas Field.
引文
[1]吴星宝,李少华,尹艳树,等.相控随机建模技术在非均质性研究中的应用[J].断块油气田,2009,16(2):58-60.Wu Xingbao,Li Shaohua,Yin Yanshu,et al.Application of facies-controlled stochastic modeling in heterogeneity study[J].Fault-BlockOil&Gas Field,2009,16(2):58-60.
[2]何辉,彭仕宓,唐海发.精细相控随机建模在洪积扇扇中砾岩油藏描述中的应用[J].西安石油大学学报:自然科学版,2009,24(1):17-20.He Hui,Peng Shimi,Tang Haifa.Application of fine facies-constrained stochastic modeling in the description of proluvial mid-fanconglomerate reservoir[J].Journal of Xi′an Shiyou University:NaturalScience Edition,2009,24(1):17-20.
[3]尹艳树,吴胜和,毛立华,等.水下扇储层沉积微相建模:以濮城油田沙三中亚段油藏为例[J].海洋地质与第四纪地质,2005,25(4):125-130.Yin Yanshu,Wu Shenghe,Mao Lihua,et al.Stochastic modeling ofmicrofacies of underwater fan:An example from the 6-10 layers ofEs32 in the Pucheng Oilfield,Dongpu Depression[J].Marine Geology&Quaternary Geology,2005,25(4):125-130.
[4]廖成君,宋兴文,张庆龙.辽河盆地欢喜岭油田欢北杜家台油藏扇三角洲储层地质建模及其应用效果[J].天然气地球科学,2008,19(6):801-804.Liao Chengjun,Song Xingwen,Zhang Qinglong.Modeling for fan deltareservoir in Dujiatai,north of Huanxiling Oilfield[J].NaturalGas Geosience,2008,19(6):801-804.
[5]郝蜀民,惠宽洋,李良.鄂尔多斯盆地大牛地大型低渗气田成藏特征及其勘探开发技术[J].石油与天然气地质,2006,27(6):762-768.Hao Shumin,Hui Kuanyang,Li Liang.Reservoiring features of Daniudilow-permeability gas field in Ordos Basin and its exploration anddevelopment technologies[J].Oil&Gas Geology,2006,27(6):762-768.
[6]吴胜和,张一伟,李恕军,等.提高储层随机建模精度的地质约束原则[J].石油大学学报:自然科学版,2001,25(1):55-58.Wu Shenghe,Zhang Yiwei,Li Shujun,et al.Geological constrainprinciples in reservoir stochastic modeling[J].Journal of theUniversity of Petroleum,China:Natural Science Edition,2001,25(1):55-58.
[7]于兴河,陈建阳,张志杰,等.油气储层相控随机建模技术的约束方法[J].地学前缘,2005,12(3):237-243.Yu Xinghe,Chen Jianyang,Zhang Zhijie,et al.Stochastic modeling forcharacteristics of petroleum reservoir constrained by facies[J].EarthScience Frontiers,2005,12(3):237-243.
[8]王端平,杨耀忠,龚蔚青,等.沉积微相约束条件下的随机地质建模方法及应用研究[J].科技通报,2004,20(2):121-126.Wang Duanping,Yang Yaozhong,Gong Weiqing,et al.The methodand application study about stochastic modeling with sedimentarymicrofacies[J].Bulletin of Science and Technology,2004,20(2):121-126.
[9]王仁铎,胡光道.线性地质统计学[M].北京:地质出版社,1988.Wang Renduo,Hu Guangdao.Linear geostatistics[M].Beijing:Geological Publishing House,1988.
[10]段天向,刘晓梅,张亚军,等.Petrel建模中的几点认识[J].岩性油气藏,2007,19(2):102-107.Duan Tianxiang,Liu Xiaomei,Zhang Yajun,et al.Discussion ongeologic modeling with Petrel[J].Lithologic Reservoirs,2007,19(2):102-107.
[2]何辉,彭仕宓,唐海发.精细相控随机建模在洪积扇扇中砾岩油藏描述中的应用[J].西安石油大学学报:自然科学版,2009,24(1):17-20.He Hui,Peng Shimi,Tang Haifa.Application of fine facies-constrained stochastic modeling in the description of proluvial mid-fanconglomerate reservoir[J].Journal of Xi′an Shiyou University:NaturalScience Edition,2009,24(1):17-20.
[3]尹艳树,吴胜和,毛立华,等.水下扇储层沉积微相建模:以濮城油田沙三中亚段油藏为例[J].海洋地质与第四纪地质,2005,25(4):125-130.Yin Yanshu,Wu Shenghe,Mao Lihua,et al.Stochastic modeling ofmicrofacies of underwater fan:An example from the 6-10 layers ofEs32 in the Pucheng Oilfield,Dongpu Depression[J].Marine Geology&Quaternary Geology,2005,25(4):125-130.
[4]廖成君,宋兴文,张庆龙.辽河盆地欢喜岭油田欢北杜家台油藏扇三角洲储层地质建模及其应用效果[J].天然气地球科学,2008,19(6):801-804.Liao Chengjun,Song Xingwen,Zhang Qinglong.Modeling for fan deltareservoir in Dujiatai,north of Huanxiling Oilfield[J].NaturalGas Geosience,2008,19(6):801-804.
[5]郝蜀民,惠宽洋,李良.鄂尔多斯盆地大牛地大型低渗气田成藏特征及其勘探开发技术[J].石油与天然气地质,2006,27(6):762-768.Hao Shumin,Hui Kuanyang,Li Liang.Reservoiring features of Daniudilow-permeability gas field in Ordos Basin and its exploration anddevelopment technologies[J].Oil&Gas Geology,2006,27(6):762-768.
[6]吴胜和,张一伟,李恕军,等.提高储层随机建模精度的地质约束原则[J].石油大学学报:自然科学版,2001,25(1):55-58.Wu Shenghe,Zhang Yiwei,Li Shujun,et al.Geological constrainprinciples in reservoir stochastic modeling[J].Journal of theUniversity of Petroleum,China:Natural Science Edition,2001,25(1):55-58.
[7]于兴河,陈建阳,张志杰,等.油气储层相控随机建模技术的约束方法[J].地学前缘,2005,12(3):237-243.Yu Xinghe,Chen Jianyang,Zhang Zhijie,et al.Stochastic modeling forcharacteristics of petroleum reservoir constrained by facies[J].EarthScience Frontiers,2005,12(3):237-243.
[8]王端平,杨耀忠,龚蔚青,等.沉积微相约束条件下的随机地质建模方法及应用研究[J].科技通报,2004,20(2):121-126.Wang Duanping,Yang Yaozhong,Gong Weiqing,et al.The methodand application study about stochastic modeling with sedimentarymicrofacies[J].Bulletin of Science and Technology,2004,20(2):121-126.
[9]王仁铎,胡光道.线性地质统计学[M].北京:地质出版社,1988.Wang Renduo,Hu Guangdao.Linear geostatistics[M].Beijing:Geological Publishing House,1988.
[10]段天向,刘晓梅,张亚军,等.Petrel建模中的几点认识[J].岩性油气藏,2007,19(2):102-107.Duan Tianxiang,Liu Xiaomei,Zhang Yajun,et al.Discussion ongeologic modeling with Petrel[J].Lithologic Reservoirs,2007,19(2):102-107.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心