A framework of data mining for logging reservoir evaluation
Yili Ren, Yiting Ren · 2016
Data mining provides an automatic and effective way for reservoir evaluation based on well logging interpretation. In this paper, we propose a framework of data mining for logging reservoir evaluation and verify its performance on two well logging dataset. Experimental results show that the conclusions of well-logging interpretation by the framework proposed in this paper are consistent with the test oil results. Compared with traditional evaluation methods, it is efficient and not so dependent on expertise. This framework provides a reference for the construction of big data platform for oil exploration and development.