人工神经网络在复杂断块油气田储层预测中的应用

Prediction of Complex Fault-Block Oil & Gas Field with Artifical Nerve Network

 李振玉¹ 苏月琦² 谢书琴³

1. 中原石油勘探开发技术有限公司，2. 中原油气高新股份有限公司天然气产销总厂，3. 中原油田分公司勘探开发科学研究院 

Zhongyuan Petroleum Exploration & Development Tech. Co. Ltd , Henan 457001 , P. R. China

利用人工神经网络对油气田储层进行预测是一种行之有效的方法,但对于复杂断块油气田,由于断层的干扰,严重影响了预测的效果。结合中原油田断层多、断块破碎的实际情况,利用模糊数学理论,提出了一种针对复杂断块油气田进行储层预测的人工神经网络方法,在Y油田实际应用,取得了较好的效果。

It is one of an effective research methods to predicts reservoir with artifical nerve network. As the interference of fault to seismic waves in complex fault-block oil and gas field , the predicting effect is affected. As the conditions of multiple fault sand broken fault-blocks , based on the fuzzy mathematics theory , a special artifical nerve network for predicting the reservior of complex fault-block oilfield is provided , Having been used in Y Oilfield , good effect are received.