摘要
就测井而言,油田老井挖潜的难点之一在于横向测井资料的孔隙度解释。针对上世纪60年代投产的肯基亚克油田,提出用神经网络方法和自然电位法解释横向测井资料,计算地层孔隙度。经实际处理肯基亚克油田50口多井的横向测井资料,应用效果良好,说明提出的方法为油田老井挖潜提供了较好的孔隙度解决方案。
In the oilfields, one of the difficulties in taking the potential of old wells is the porosity interpretation of lateral logging data. In consideration of the situation in Kengeyacal Oilfield which was put into production in the 60s of 20^(th) century. It is proposed that the methods of neural networks and spontaneous potential are used to interpret the lateral logging data and calculate the reservoir porosity. The data process for lateral data of 50 wells or more in Kengeyacal Oilfield indicates that the effect of application is perfect, the proposed method can be used for providing better solution of porosity in taking the potential of old oilfields.
出处
《石油天然气学报》
CAS
CSCD
北大核心
2005年第3期348-350,共3页
Journal of Oil and Gas Technology
关键词
横向测井
神经网络法
自然电位法
孔隙度
lateral logging
method of neural network
spontaneous potential method
porosity