主流随机建模技术评价及约束原则
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摘要
随机建模技术诸多方法以其应用角度和重点的不同,可分别按照研究对象、随机模型和约束条件进行分类,对应体现了地质概念、数学概念和逻辑概念3个层次。重点分析了目前国内外比较流行的布尔模拟、贯序指示模拟、分形模拟、退火模拟、马尔可夫随机域模拟等5种具体的随机建模技术,比较各自的优势和劣势并作出相应评价。在此基础上,总结出提高建模精度的4条原则:等时分级约束、沉积条件约束、统计概率约束和优选模型约束。
Stochastic modeling technique could be classified based on research target,stochastic model and constraint condition as well as its different applications and focuses into geologic,mathematic and logic concepts,respectively.This paper focuses on Boolean simulation,sequential indicator simulation,fractal simulation,annealing simulation and Markov random field simulation,which are quite popular domestically and internationally at present,and presents their advantages and disadvantages as well as corresponding evaluations.Four principles are summarized to improve precision of the stochastic modeling in terms of the constraint of equivalent time and classified levels,the constraint of depositional conditions,the constraint of statistical probability and the constraint of optimal stochastic models.
Stochastic modeling technique could be classified based on research target,stochastic model and constraint condition as well as its different applications and focuses into geologic,mathematic and logic concepts,respectively.This paper focuses on Boolean simulation,sequential indicator simulation,fractal simulation,annealing simulation and Markov random field simulation,which are quite popular domestically and internationally at present,and presents their advantages and disadvantages as well as corresponding evaluations.Four principles are summarized to improve precision of the stochastic modeling in terms of the constraint of equivalent time and classified levels,the constraint of depositional conditions,the constraint of statistical probability and the constraint of optimal stochastic models.
引文
[1]张团峰,王家华.储集层随机建模和随机模拟原理[J].测井技术,1995,19(6):391-397.
[2]Haldorson H,Lake L.A newapproach to shale managemantin field scale simulation models[A].SPE 10976,1984.
[3]Sang Heon Lee,Adel Malallah,Akhil Datta Gupta,et al.Multiscale data integration using markov random fields[A].SPE 63066,2000.
[4]AmroElfeki,Michel Dekking.Amarkovchain model for sub-suface characterization:theory and application[J].Mathem-atical Geology,2001,33:569-589.
[5]TommyNorberg,LarsRosen,AgnesBaran,et al.On modelingdiscrete geological structures as markov random fields[J].Mathematical Geology,2002,34:63-77.
[6]姚姚,奚先.随机介质模型正演模拟及其地震波场分析[J].石油物探,2002,41(1):31-36.
[7]吴胜和,金振奎.储集层建模[M].北京:石油工业出版社,1999.
[8]吕晓光,王德发,姜洪福.储集层地质模型及随机建模技术[J].大庆石油地质与开发,2000,19(1):10-16.
[9]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.
[10]刘振峰,郝天珧,杨长春.沉积模型和储集层随机建模[J].地球物理学进展,2003,1(8 3):519-523.
[11]张团峰,王家华.试论克里金估计与随机模拟的本质区别[J].西安石油学院学报,1997,12(2):52-55.
[12]Olivier Dubrule.Areviewofstochastic models for petroleumreservoikrs:Geostratistics,Vol 2[M].Klumer:Klumer Aca-demic Publisher,1989:493-506.
[13]Matheron G.Conditional simulation of geometry of fluvio-deltaic reservoir[s A].SPE 16753,1987.
[14]文健,裘怿楠,肖敬修.早期评价阶段应用Boolean方法建立砂体连续性模型[J].石油学报,1994,1(5增刊):171-178.
[15]李少华,张昌民,尹艳树.河流相储集层随机建模的几种方法[J].西安石油学院学报(自然科学版),2003,18(5):10-16.
[16]Henriquez A.Charcterization of fluvial sedimentology forreservoir simulation modeling[A].SPE 18323,1987.
[17]杜启振,侯加根.储集层随机建模综述[J].世界石油知识,1997,5:24-29.
[18]Journel A G,Gomez-Hernandez J J.Stochastic imaging ofWilmington clastic sequenc[e A].SPE 19857,1987.
[19]Journel A G.Stochastic modeling of afluvial reservoir:acomparative reviewof algorithms[J].JPSE,1998,21:95-121.
[20]Hewett T A.Fractal distribution of reservoir heterogeneityand their influence on fluid transport[A].SPE 15386,1986.
[21]陈恭洋.碎屑岩储集层随机建模的基本理论与实践[J].江汉石油学院学报,2001,23(4):1-4.
[22]胡向阳,熊琦华,吴胜和.储集层建模方法研究进展[J].石油大学学报(自然科学版),2001,25(1):107-112.
[23]周丽清,熊琦华,吴胜和.随机建模中相模型的优选验证原则[J].石油勘探与开发,2001,2(8 1):68-71.
[24]吴胜和,张一伟,李恕军,等.提高储集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.
[2]Haldorson H,Lake L.A newapproach to shale managemantin field scale simulation models[A].SPE 10976,1984.
[3]Sang Heon Lee,Adel Malallah,Akhil Datta Gupta,et al.Multiscale data integration using markov random fields[A].SPE 63066,2000.
[4]AmroElfeki,Michel Dekking.Amarkovchain model for sub-suface characterization:theory and application[J].Mathem-atical Geology,2001,33:569-589.
[5]TommyNorberg,LarsRosen,AgnesBaran,et al.On modelingdiscrete geological structures as markov random fields[J].Mathematical Geology,2002,34:63-77.
[6]姚姚,奚先.随机介质模型正演模拟及其地震波场分析[J].石油物探,2002,41(1):31-36.
[7]吴胜和,金振奎.储集层建模[M].北京:石油工业出版社,1999.
[8]吕晓光,王德发,姜洪福.储集层地质模型及随机建模技术[J].大庆石油地质与开发,2000,19(1):10-16.
[9]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.
[10]刘振峰,郝天珧,杨长春.沉积模型和储集层随机建模[J].地球物理学进展,2003,1(8 3):519-523.
[11]张团峰,王家华.试论克里金估计与随机模拟的本质区别[J].西安石油学院学报,1997,12(2):52-55.
[12]Olivier Dubrule.Areviewofstochastic models for petroleumreservoikrs:Geostratistics,Vol 2[M].Klumer:Klumer Aca-demic Publisher,1989:493-506.
[13]Matheron G.Conditional simulation of geometry of fluvio-deltaic reservoir[s A].SPE 16753,1987.
[14]文健,裘怿楠,肖敬修.早期评价阶段应用Boolean方法建立砂体连续性模型[J].石油学报,1994,1(5增刊):171-178.
[15]李少华,张昌民,尹艳树.河流相储集层随机建模的几种方法[J].西安石油学院学报(自然科学版),2003,18(5):10-16.
[16]Henriquez A.Charcterization of fluvial sedimentology forreservoir simulation modeling[A].SPE 18323,1987.
[17]杜启振,侯加根.储集层随机建模综述[J].世界石油知识,1997,5:24-29.
[18]Journel A G,Gomez-Hernandez J J.Stochastic imaging ofWilmington clastic sequenc[e A].SPE 19857,1987.
[19]Journel A G.Stochastic modeling of afluvial reservoir:acomparative reviewof algorithms[J].JPSE,1998,21:95-121.
[20]Hewett T A.Fractal distribution of reservoir heterogeneityand their influence on fluid transport[A].SPE 15386,1986.
[21]陈恭洋.碎屑岩储集层随机建模的基本理论与实践[J].江汉石油学院学报,2001,23(4):1-4.
[22]胡向阳,熊琦华,吴胜和.储集层建模方法研究进展[J].石油大学学报(自然科学版),2001,25(1):107-112.
[23]周丽清,熊琦华,吴胜和.随机建模中相模型的优选验证原则[J].石油勘探与开发,2001,2(8 1):68-71.
[24]吴胜和,张一伟,李恕军,等.提高储集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.
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