论文部分内容阅读
聂凯轩，李承楚，王宏琳．地震测井资料综合预测方法─-随机顺序指示条件模拟研究与应用．石油地球物理勘探．1997，32（6）：842～851随机顺序指示条件模拟（SIS）作为空间变量的预测方法，在保持原空间值一致性的同时，还增加了空间结构场中的条件信息。使原始条件数据被转换为由不同门槛值定义的指示数据，利用这些指示数据，建立起指示克立金系数矩阵，从而求得预测点处的概率分布函数值cpdf。据此，便可直接采用蒙托卡罗方法得到相应点的模拟值。建立反映储层非均质性的储层地质模型是油藏描述的关键。本文以大王庄实际资料的应用结果表明，SIS方法不仅比常规的插值方法更能反映储层参数的变化，而且能够描述由于资料的缺乏而引起的模型的不确定性。
Nie Kai Xuan, Li Chu, Wang Honglin. SYNTHETIC PREDICTION METHOD FOR SEISMIC LOG DATA ──Study and Application of Random Order Indication Condition Simulation. Petroleum Geophysical Exploration. 1997,32 (6): 842 ~ 851 As a method to predict spatial variables, Stochastic Order Indication Simulation (SIS) has been used to predict the spatial variables. So that the original condition data is converted into the indicator data defined by different thresholds. Using these indicator data, the indicator Kriging Coefficient Matrix is established to obtain the probability distribution function value cpdf at the prediction point. Accordingly, we can directly use the Monte Carlo method to get the corresponding point of the simulation value. Establishing a reservoir geological model that reflects reservoir heterogeneity is the key to reservoir characterization. The application of the actual data from Dazhuangzhuang shows that the SIS method not only reflects the change of reservoir parameters more than the conventional interpolation methods, but also can describe the uncertainty of the model caused by the lack of data.