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主流随机建模技术评价及约束原则 被引量:12

Evaluation and Constraint Principle for Dominant Stochastic Modeling Technique
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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.
出处 《新疆石油地质》 CAS CSCD 北大核心 2006年第5期621-625,共5页 Xinjiang Petroleum Geology
关键词 随机建模 储集层 分类 评价 约束 stochastic modeling reservoir classification evaluation constraint
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