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中文摘要：
以序贯高斯模拟方法为例，分析随机模拟技术的特性与不足，提出基于地震反演成果的建模策略，以提高建模精度。随机模拟只能恢复各参数的宏观统计规律，实现“数学真实”，地震正演模型证实其模拟结果偏离“地质真实”。研究表明，利用地震正演可验证地质模型的可靠性，以地震反演成果约束地质建模能提高模型精度，逼近“地质真实”。以辫状河三角洲为例，针对油田不同研究阶段提出了地震反演成果“多级、多条件”约束建模策略。岩相建模阶段以单井岩相划分为第1变量，在勘探阶段和开发阶段分别用岩性概率体和岩性体为第2变量，建立岩相模型；属性建模阶段以岩相模型为第1变量，地震波阻抗体为第2变量，纵向和横向上均以波阻抗做约束，建立属性模型。该策略下建立的模型能保持输入数据的统计规律，与地震数据具有较好的一致性，且能与油田生产动态有效吻合。图17参34
英文摘要：
Sequential Gaussian simulation method is taken as an example to analyze the characteristics and defects of stochastic simulation methods, and a modeling strategy is proposed that is based on the results of seismic inversion to improve modeling accuracy. Stochastic simulation can only achieve ＂mathematical reality＂ by recovery of parameters macro statistical regularity through examples, and seismic forward model can verify whether the simulation results deviate from the ＂geological reality＂. Seismic forward modeling can verify the reliability of the geological model, and the results of geological modeling constrained by seismic inversion can improve the accuracy of the model to achieve the ＂geological reality＂. For braided river delta, a modeling strategy constrained by seismic inversion results in the condition of ＂multi-levels＂ and ＂multi-conditions＂ is put forward. For lithofacies modeling, division of lithofacies in single well acts as the first variable; in the stage of exploration and development, lithology probability and lithology body act as the second variable respectively, and then establish facies models. For property modeling, take lithofacies model and the seismic impedance as the first variable and the second variable respectively to create property model, in the condition of horizontal and vertical impedance constraints. The proposed modeling strategy maintains the statistical regularities of input data, keep a better consistency with seismic data, and match with dynamic field production.
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