多条件约束储层随机建模技术研究
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摘要
充分利用地震、地质、开发数据对地质建模过程多条件下约束,尤其在勘探开发早期可提高建模精度,减少随机建模的不确定性,提高不确定性分析评价效果,以更快更全面了解油藏并高效地设计开发方案。在综合国内外文献调研和实际开发早期区块多类数据综合分析基础上,应用随机建模技术在多条件数据约束下建立勘探开发早期海拉尔贝中南一段符合生产实际需要地质模型,利用模型计算出地质储量与容积法相对误差仅为0.98%,为油藏合理开发投产起到一定借鉴作用。
With the sufficient application of the restriction of the seismic data,geological data and production data to geological modeling process,the accuracy of the geological modeling can be increased,especially at the early stage of exploration and development,decrease the uncertainty of stochastic modeling,and improve the effect of uncertainty analysis and evaluation in order to understand the reservoir more quickly and design the development plan more effectively and comprehensively.According to the documents published both at home and abroad and the comprehensive analysis of the practical data from the block at the early development stage,the geologic model of BCSI Member in Hailaer basin at the early development stage,which can meet the demands of practical operation,is built with the application of stochastic modeling technique under multi data restriction.This geological model is significant for reasonable development and production of oil reservoirs.
With the sufficient application of the restriction of the seismic data,geological data and production data to geological modeling process,the accuracy of the geological modeling can be increased,especially at the early stage of exploration and development,decrease the uncertainty of stochastic modeling,and improve the effect of uncertainty analysis and evaluation in order to understand the reservoir more quickly and design the development plan more effectively and comprehensively.According to the documents published both at home and abroad and the comprehensive analysis of the practical data from the block at the early development stage,the geologic model of BCSI Member in Hailaer basin at the early development stage,which can meet the demands of practical operation,is built with the application of stochastic modeling technique under multi data restriction.This geological model is significant for reasonable development and production of oil reservoirs.
引文
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[2]Coats K M,Dempsey J R,Henderson J H.Anewtechnique for deter-mining reservoir description from field performance data[R].MSPE2344,1970.
[3]吴胜和.提高储层随机建模精度的地质约束原则[J].石油大学学报,2001,25(1):55-56.
[4]文健,裘怿楠.油藏早期评价阶段储层建模技术的发展方向[J].石油勘探与开发,1994,21(5):88-89.
[5]Journel A G.Stochastic models of reservoir heterogeneity:impact onconnectivity and average perm abilities[J].SPE24893.
[6]Haldorsen H H.Stochastic modeling[J].JPT,1990,(2):404-416.
[7]Deutsch C V,Journel A G.The application of simulated annealing tostochastic reservoir modeling[J].SPE23565,1991.
[8]王家华,张团峰.油气储层建模[M].北京:石油工业出版社,2001.
[9]裘怿楠,刘雨芬,等.低渗透砂岩油藏开发模式[M].北京:石油工业出版社,1998.
[10]宋新民,罗凯.储层表征新进展[M].北京:石油工业出版社,2002.
[11]吴胜和,金振奎,黄沧钿,等.储层建模[M].北京:石油工业出版社,1999.
[12]吕晓光,张永庆,陈兵.深度开发油田确定性与随机建模结合的相控建模[J].石油学报,2004,25(5):60-64.
[13]阎建华.油藏工程实践[M].北京:石油工业出版社,2003.
[14]Aziz K,Settari A.Petroleum Reservoir Simulation[M].London:Elsevier Applied Science Publishers,1979.
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