Abstract：The stochastic sequential-indicative condition simulation,a method for predicting spatial variables,keeps original spatial data characteristic and increases condition informations of a spatial structure field.The original condition data are converted into indicators which are defined by different thresholds;these indicators are then used to derive indication Kriging coefficient matrix,by which we obtain conditional probability distribution function (cpdf) at each prediction point.Thereafter,the simulated values at corresponding points can be estimated by directly using Monte Carlo method.The key to reservoir description lies in the construction of reservoir geology model that exhibits heterogeneity of the reservoir.The application result of real dato in Dawangzhuang area says that the technique shows better parameter variation of reservoir than ordinary interpolation method,and predicts model uncertainty which results from the insufficiency of useful data.
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[J]. 石油地球物理勘探, 1997, 32(6): 842-851.
Nie Kaixuan, Li Chengchu, Wang Honglin. Comprehensive prediction using seismic and togging data:research and application of stochastic sequential-indicafive condition simulation. OGP, 1997, 32(6): 842-851.
