录井气测解释的人工神经网络方法研究

Research on Artificial Neural Network Method of Logging Data Interpretation

基于人工神经网络发展了一种新的油气层评价技术．利用该技术，采用层次模式识别的方法，对新疆某油田地区的实际数据进行了试算，以识别油层、气层、含水油层、油水同层、含油水层、气水同层、油气水同层、水层、干层，取得了较为满意的结果．

In this paper, a new technique for oil gas judgment from composite well logs is developed based on an improved artificial neural network model. By using a developed hierarchy pattern recognition strategy, a trial for actual data has been performed to recognize oil、gas、water、oil water mixture、gas water mixture、oil gas water mixture and dry well with this technique. Experimental results show its effectiveness and reliability of this method.