灰色动态聚类空间氧化还原电位油气圈闭ART评价法

Grey ART dynamic clustering evaluation for oil and gas information in oxido-reducing potential

1. 中国地质大学信息工程学院,武汉430074;2. 中国地质大学应用地球物理系,武汉430074

Institute of Information Engineering, China University of Geosciences, Wuhan 430074

基于氧化还原电位油气信息的灰色性,提出了对勘测的氧化还原电位信息进行关联滤波形成灰色动态聚类空间,利用ART评价的方法。在新疆塔里木盆地TK研究区,应用采集的自然电位信息用该方法进行处理,圈定了4个油气圈闭区,其中③号油气圈闭区已钻获高产油气流。

Based on the grey features of oil and gas information in oxido reducing potential, dynamic clustering evaluation method of grey neural network that is used to associatedly filter the acquired oxido reducing information is put forward. In Tuoku region, Tarim Basin, Xinjiang, the acquired natural potential information is processed by this method, and 4 oil gas trap targets are delineated. Among them high yield flow of oil and gas has been encountered in No.3 oil gas trap area. The method is applicable to evaluate the oil and gas potential for targeted traps with all available geophysical and geochemical data.