A high resolution approach for fluid prediction based on prestack AVA simultaneous inversion and geostatistical inversion
Yu Zhen1,2, Wang Yanchun2, He Jing3, Dong Yongcang4, Liu Zhiwei2
1. Halliburton Energy Services (China) Limited, Beijing 100020, China; 2. School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing 100083, China; 3. LandOcean Energy Services Co, Ltd, Beijing 100084, China; 4. Research Institute of Exploration and Developent, Qinghai Oil Company, CNPC, Dunhuang, Gansu 736200, China
Abstract:A high resolution approach for fluid prediction is proposed to accurately predict the fluid in thin layers. The approach carries out prestack AVA simultaneous inversion and the geostatistical inversion for water saturation with lithology masks in the same time. Then through crossing the results of them, the final high resolution result for fluid prediction is produced by selecting the part corresponding to the threshold values of the fluid in crossplots. It could precisely predict the fluid in thin layers. This approach is applied to three multilayer horizontal layered models with shale walls of different width and real data. The results show that prestack AVA simultaneous inversion has high resolution in the lateral direction and low resolution in the vertical direction. Geostatistical inversion with lithology masks has high resolution in the vertical direction and a certain resolution in the lateral direction, but the resolution in the lateral direction is not as good as that of prestack AVA simultaneous inversion. The joint use of these two methods for fluid prediction can obtain high resolution both in the vertical direction and in the lateral direction, and get good prediction results of thin layer fluid.
余振, 王彦春, 何静, 董永苍, 刘志伟. 基于叠前AVA同步反演和地质统计学反演的高分辨率流体预测方法[J]. 石油地球物理勘探, 2014, 49(3): 551-560.
Yu Zhen, Wang Yanchun, He Jing, Dong Yongcang, Liu Zhiwei. A high resolution approach for fluid prediction based on prestack AVA simultaneous inversion and geostatistical inversion. OGP, 2014, 49(3): 551-560.