通过属性分析、属性优选等方法筛选具有较好信息质量的地震属性切片,形成适合研究区目的层地质情况的最佳地震属性组合,采用线性回归方法、非线性回归方法和协克里金三种方法拟合井点处的属性信息与井参数之间的线性函数关系和非线性函数关系,进行合理的储层参数预测,应用预测结果对研究区储层进行了分析和刻画,提高了储层预测的精度。 Seismic attributes slices with good information quality are screened through attribute analysis, attribute optimization and other methods to form the best seismic attribute combination suitable for the geological conditions of the target layer in the study area. Linear regression, nonlinear regression and three methods of kriging The method fits well the relationship between the linear function and the nonlinear function between the attribute information at the well point and the well parameter, predicts the reservoir parameters reasonably, and uses the prediction result to analyze and characterize the reservoir in the study area, Predicted accuracy.