摘要
裂缝级别是由裂缝的自身条件与外部条件共同决定的，是一个多因素、多层次的复杂系统，各种评价参数与裂缝发育程度之间的关系是非线性的，导致对裂缝级别进行定量的划分十分困难。本文基于BP神经网络，开展了对裂缝级别划分的研究，结果表明，基于BP神经网络的裂缝分级具有较好的应用效果。
Fracture grade is decided by its own condition and external condition.It is a multifactor,multitiered and complex system. The relationship between various evaluation parameters and fracture development degree is nonlinear,which makes quantitative division of fracture grade diifficult.Fracture grading was carried out through BP neural network. The result shows that fracture grading based on BP neural network has good application effect.
出处
《国外测井技术》
2009年第5期30-32,4,共3页
World Well Logging Technology
关键词
裂缝级别
非线性
BP神经网络
fracture grade
nonlinearity
BP neural network
