Seismic stochastic inversion based on logging sensitive attributes reconstruction
Che Tingxin1,2, Huang Yanzhang1, Liu He3
1. Institute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, Langfang, Hebei 065007, China;
2. Beijing Zhongan Shengtai Technology Co., Ltd, Beijing 100107, China;
3. Exploration and Development Research Institute, Daqing Oilfield Company, PetroChina, Daqing Heilongjiang 163712, China
Abstract：Taking Wunan Depression in Hailar Basin as an example in this paper, a stochastic inversion based on logging sensitive attributes-reconstruction is used for reservoir prediction, and all the key aspects of data processing in the course of inversion are discussed, such as logging curve editing and correction, determining sensitive logging parameters and the logging sensitive attributes-reconstruction-based stochastic inversion. Inversion results show that this method improves the resolution and accuracy of reservoir prediction, and the predicted sandstone thickness is consistent with the drilling results.
