断溶体油藏连通路径智能识别

Intelligent identification of fault-karst reservoir connectivity path

孔强夫 刘坤岩 韩东 熊培祺

中国石化石油勘探开发研究院，北京 100083 中海油能源发展股份有限公司工程技术分公司，天津 300450

油藏连通路径识别是分析井间连通结构的基础，是开展注水（气）分析及井网改造的重要依据，对提高油藏采收率具有重要意义。目前，连通路径识别是在储集体动、静态描述的基础上，采用人工识别的方法手工绘制连通图，识别效率低、效果差。文中在地震孔隙度切片的基础上，首次将图像处理技术与达西定律相结合，获取流动通道的路径权重，利用迪克斯特拉算法开展连通路径的智能识别。塔河油田断溶体油藏2口井的研究表明，智能识别的连通路径与示踪剂分析结果一致。该方法具有一定的可行性，可为同类油藏提供参考。

Reservoir connectivity path identification is the basis of analyzing inter-well connectivity structure, and is an important basis for water (gas) injection analysis and well pattern transformation, which is of great significance for enhancing reservoir recovery. At present, the method of connectivity path identification is based on the dynamic and static description of the reservoir and uses the manual identification method to draw the connected graph by hand, which has low identification efficiency and poor effect. On the basis of seismic porosity slices, the image processing technology and Darcy′s law are combined for the first time to obtain the path weight of the flow channel, and the Dijkstra algorithm is used to carry out intelligent identification of connectivity path. The research of two wells in Tahe fault?鄄karst reservoir shows that the connectivity path of intelligent identification is consistent with the results of tracer analysis. This method is feasible and can provide reference for similar reservoirs.

10.6056/dkyqt202203012