Permeability characterization and directional wells initial productivity prediction in the continental multilayer sandstone reservoirs: A case from Penglai 19-3 oil field, Bohai Bay Basin
LIU Yancheng1, LUO Xianbo1, KANG Kai1, LI Tingli1, JIANG Shuhong2, ZHANG Jun1, ZHANG Zhang1, LI Yunting1
1. Bohai Oil Field Research Institute, Tianjin Branch of CNOOC Ltd., Tianjin 300459, China; 2. CNOOC Research Institute, Beijing 100027, China
Abstract：Based on study on the main factors affecting the initial productivity of directional wells in multilayer sandstone reservoirs of Penglai 19-3 oil field, a permeability interpretation model based on lithofacies constraint was established, and an initial productivity prediction formula for directional wells in offshore multilayer sandstone reservoirs was derived. Permeability and oil saturation are the main factors affecting initial productivity of directional wells in Penglai 19-3 oil field. Using core, scanning electron microscope, casting thin section, logging and production data, and a new permeability interpretation model considering the influence of macro sedimentary characteristics and microscopic pore structure was built. On the basis of permeability correction, resistivity increase ratio is introduced to characterize the effect of oil saturation, to modify the Vandervlis productivity formula of directional wells to get an initial productivity prediction equation suitable for continental multilayer sandstone reservoirs. The study results show that the permeability considering petrographic constraints and the production forecasting formula including resistivity increase ratio are more accurate.
刘彦成, 罗宪波, 康凯, 李廷礼, 蒋曙鸿, 张俊, 张章, 李云婷. 陆相多层砂岩油藏渗透率表征与定向井初期产能预测——以蓬莱19-3油田为例[J]. 石油勘探与开发, 2017, 44(1): 97-103.
LIU Yancheng, LUO Xianbo, KANG Kai, LI Tingli, JIANG Shuhong, ZHANG Jun, ZHANG Zhang, LI Yunting. Permeability characterization and directional wells initial productivity prediction in the continental multilayer sandstone reservoirs: A case from Penglai 19-3 oil field, Bohai Bay Basin. Petroleum Exploration and Development, 2017, 44(1): 97-103.
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2017, Vol. 44 
