应用神经网络对微球形聚焦测井进行泥饼校正  

Applicatlon of Artificial Neural Network to Mud Cake Correction of Micro-Spherically Focused Log

作　　者：陈兵 罗四维 储昭坦[1] 王昌学 

机构地区：[1]西安石油勘探仪器总厂,江汉测井研究所

出　　处：《测井技术》1996年第2期117-122,共6页Well Logging Technology

摘　　要：陈兵罗四维等：应用神经网络对微球形聚焦测井进行泥饼校正，测井技术，１９９６（２）２０，１１７～１２２。应用反向传播神经网络对西安石油勘探仪器总厂生产的３１０６ＸＡ微球聚焦测井仪的泥饼校正图版进行拟合，并采用分区域和插值增加作品点的误差控制技术，实现对微球形聚焦测量进行实时校正或测后处理校正。Mud cake correction chart for 3106XA Micro--Spherically Focused Logging Instrument produced by Xian Petroleum Exploration instrument Complex are fitted with the back propagation neural network. The error control techniques such as zoning, interpolating and adding sample points decrease the error of the chart. The application of the above--mentioned techniques realize real--time correction or afterlog correction to Micro-Spherically Focused Log.

关 键 词：微电阻率测井 神经网络 泥饼 测井校正图版 误差 

分 类 号：P631.811[天文地球—地质矿产勘探]