摘要
本文根据测井资料所包含的丰富的地层沉积学信息，运用神经网络模式识别方法，进行沉积微相的识别。该方法突破了以往用模式识别沉积微相必须预先提取曲线形态特征的作法，增强了模式识别判断沉积微相类型的实用性和解释精度。
Based on a number of stratigraphic sedimentary information included in log data,this paper carries out a recognition of sedimentary microfacies with a method of neutral network pattern recognition.This method does not firstly extract the morphological features of curves,so it improves the applicability and interpretation accuracy of pattern recognition to determine the types of sedimentary microfacies.
出处
《大庆石油地质与开发》
CAS
CSCD
北大核心
1997年第2期71-72,74,共3页
Petroleum Geology & Oilfield Development in Daqing
