摘要
针对辽河滩海西部地区钻井资料相对较少,在架岭地区利用多属性神经网络砂体预测技术,该技术将钻井资料与地震资料最大限度的结合,利用地震属性对不同地质体的不同响应,进行自我学习及计算,计算砂岩厚度及百分比,对东三段低位体系域进行了砂体预测,预测结果与钻井资料吻合较好。
For the problem of less drilled wells in the westen Liaohe beach,multi-attribulte neural network predicting technique is used to calculate thickness and percentage of sand to forecast reservoir which can combinate the drilling data and seismic data greatly.It use the character of seismic attributes on different geological bodies of different response to study itself and calculate.The result of sand prediction is consistent with drilled data in the lowstand system tracts of the third Member Dongying Formation.
出处
《内蒙古石油化工》
CAS
2012年第4期36-38,共3页
Inner Mongolia Petrochemical Industry
关键词
架岭地区
多属性神经网络
砂体预测
Jialing area
Multi-attribute neural network
Sand prediction
