关键词: 高含水期, 厚油层, 剩余油, 神经网络, 饱和度, 测井解释

Abstract: The remaining reserves of multiple-layer sandstone oilfield mainly exist in the thick oil layers at its late stage of high water cut. Considering the complex distribution and identification difficulty of the remaining oil in thick oil layers, firstly based on inspecing well data, establish the well logging interpretation model of reservoir physical properties (porosity and permeability) and lithology (shale content) by statistic analysis method, and constitute the three-level flow unit identification and division criteria according to the difference of thick oil layer interior accumulation and seepage features. Based on this, neural network technology is adopted to study and learn sealed coring inspection well data and to establish the well logging interpretation model of initial oil saturation, current oil saturation and residual oil saturation. Thus the comprehensive quantitative interpretation of remaining oil in thick oil layer is realized, which provide a material basis for remaining oil potential development in thick oil layer at high water cut stage.

Key words: high water cut stage, thick oil layer, remaining oil, neural network, saturation, well logging interpretation