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提出灰色系统理论与神经网络技术精细评价储层、水淹层的分析方法及处理系统。通过辽河、胜利等 10多个油田及所属区块勘探开发应用 ,计算出不同类型油藏储层及水淹层参数 ;研究了储层结构、特征及产能 ;划分并描述了不同类型油藏的含油气储层及其几何形态、空间分布 ;特别是分析了区块油组、小层油藏及剩余油分布规律和富集区域 ,为区块油藏精细评价、调整挖潜和进一步开发提供了依据。以不同实例具体阐述了这一系统在不同领域中的应用和效果。
Put forward the gray system theory and neural network technology to finely evaluate reservoir and water flooded layer analysis method and processing system. Through the exploration and development of more than 10 oil fields and their associated blocks in Liaohe and Shengli, the parameters of reservoirs and flooded layers of different types of oil reservoirs are calculated; the structure, characteristics and productivity of reservoirs are studied; the different types of reservoirs Including oil and gas reservoirs and their geometry and spatial distribution. In particular, the distribution rules of oil reservoirs, small reservoirs and residual oil and the enrichment areas are analyzed. This provides a detailed assessment of the block reservoirs, adjustment and tapping potentials and further development in accordance with. In different instances, the application and effect of this system in different fields are elaborated.