基于相空间重构和改进最优分割法的自动分层模型

Automatic separate layer model based on the phase-space reconstruction and improved optimum division method

本文提出了相空间重构和最优分割法相结合的自动分层模型.为消除噪声对模型的影响,提出利用基于相空间重构的非线性去噪方法对测井数据进行处理,增加自动分层结果的准确性,并对确定层界面深度的方法进行了改进,引入了一个新的统计量.最后采用某井的测井数据,利用改进后的自动分层模型实现了自动分层,效果良好,验证了模型的可靠性和实用性.

This paper introduces the automatic separate layer model based on phase-space reconstruction and optimum division method. In order to reduce noise for the model, the nonlinear noise reduction method is proposed in dealing of log data, then reliability of automatic separate layer is promoted. The new statistic is introduced to ascertain the depth of the layer. In the last, its practicability and reliability are demonstrated by the practical log data in western Sichan Province.