BP神经网络在油水井压裂酸化选井中的应用  

Application of BP neural network to oil wells in the election well fracturing

作　　者：杨红[1] 何衡[1] 

机构地区：[1]西安石油大学石油工程学院,西安710065

出　　处：《内蒙古石油化工》2008年第5期30-31,共2页Inner Mongolia Petrochemical Industry

摘　　要：要获得好的压裂酸化增产效果,选择合适的施工井是很重要的。本文采用BP神经网络模型,对需要进行压裂的井进行排序。该方法克服了模糊数学方法在压裂酸化选井中对权重人为的设定,达到了科学决策的目的。并采用MATLAB6.5软件对此方法经行计算。Must obtain the good compression fracture acidification production increase effect, chooses the appropriate construction well is very important. This article uses the BP nerve network model, to needs to carry on the compression fracture the well to carry on the arrangement. This method overcame the fuzzy mathematics method to choose in the well in the compression fracture acidification to the weight artificial hypothesis, has achieved the macro-scientific policy-making goal. Combine the adoption MAT- LAB6.5 software to this method through go a calculation.

关 键 词：压裂 BP神经网络 选井 

分 类 号：TE357.2[石油与天然气工程—油气田开发工程] TV698.1[水利工程—水利水电工程]