现代电子技术Issue(4)：21-24,27,5.
神经网络技术在录井参数解释中的应用
Application of neural network technology in interpretation of well logging parameters
单元伟1
作者信息
- 1. 中煤科工集团 西安研究院，陕西 西安 710054; 西安科技大学，陕西 西安 710054
- 折叠
摘要
Abstract
Artificial neural network technology is one of the new methods and technologies springing up along with the rapid development of computer technology in recent years. Valuable application and progress of neural network model have been achieved in the fields of speech reorganization and image processing. Its research findings have been introduced to the oil and gas field exploration and development,including the processing and interpretation of documents. It has become a new direction of domestic investigation in well logging to apply the artificial neural network technology to the logging of well. It is capable of processing and explaining well logging documents collected from the wells which are greatly influenced by the condition of well drilling,located in complicated geological conditions,and are difficult in oil-gas-water layers identification.关键词
神经网络/气测录井/油气层识别/BP算法Key words
neural network/gas well logging/oil layer identification/BP algorithm分类
信息技术与安全科学引用本文复制引用
单元伟..神经网络技术在录井参数解释中的应用[J].现代电子技术,2014,(4):21-24,27,5.
