氧化还原电位油气性信息灰色ART聚类评价法

GREY ART CLUSTERING EVALUATION FOR OIL AND GAS INFORMATION OF OXIDEO-REDUCING POTENTIAL

基于氧化还原电位油气信息的灰色性 [1] ,提出了对勘测的氧化还原电位信息进行关联滤波灰色神经网络 ART聚类评价方法。在新疆塔里木盆地托库研究区 ,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 ,该方法对所有物化探勘探信息进行圈闭含油气性评价时都具适应性。

Based on the grey features of oil and gas information of oxido reducing potential, an ART clustering evaluation method of grey neural network which is used to filter the explored oxido reducing information relatedly is put forward. In Tuoku region of Tarim Basin in XinJiang, the acquired natural potential information is processed by this method, and 4 oil gas trap targets are delineated. Abundant oil and gas has been explored in No.3 oil gas trap area. And such method is adaptable for contained oil gas trap to evaluate all geophysical and geochemical exploration information.