Stochastic seismic inversion scheme and sand body prediction in dense well pattern areas
Zhu Shilei1, Yang Ruizhao2, Liu Zhibin1, Feng Na1, Li Nan1, Qi Chunyan3
1. CNOOC Research Institute Co. Ltd., Beijing 100028, China; 2. China University of Mining and Technology(Beijing), Beijing 100083, China; 3. Exploration and Development Institute, Daqing Oilfield Company Ltd, PetroChina, Daqing, Heilongjiang 163712, China
Abstract:For dense well pattern in the deep oilfield development stage, it is difficult to predict channel sand bodies with only well-point information or seismic data.Therefore, taking a block in an eastern oilfield as an example, key technical procedures of stochastic seismic inversion in dense well pattern are studied, and the ability to recognize and predict sand bodies in different well pattern densities is analyzed.The following conclusions can be drawn:A.Key techniques of the stochastic inversion are reservoir sensitivity curve selection, reconstructing process to improve the resolution, seismic data resampling, and variation function optimization; B.The vertical range of the variogram under the condition of dense well pattern is obtained from well curve fitting.For the lateral range selection, we should consider geometric characteristics of sedimentary facies and the fitting results of well curves and seismic data.With experiment comparison, the best fusion scheme of well and seismic data space configurations (variable range parameter setting) is obtained; C.The results of stochastic seismic inversion show that the prediction accuracy of single sand body with thickness of 2~3m, 1~2m, and 0~1m are 73%, 56%, and 33%, the prediction accuracy of inter-bed sands are 79%, 59%, and 41% respectively.
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