西南石油学院学报2001，Vol.23Issue(1)：11-13,3.
基于神经网络法的逐点渗透率测井解释研究
THE STUDY ON PREDICTING EACH POINT'S PERMEABILITY BASED ON NEURAL NET WORK AND LOG DATA
夏宏泉 1张贤辉 1范翔宇 1任兴国 2胡振平2
作者信息
- 1. 西南石油学院应用物理研究所,
- 2. 四川测井公司
- 折叠
摘要
Abstract
Permeability is an important parameter in reservoir interpretation an d evaluation. It is very difficult to calculate this parameter from point by poi nt conventional log interpretation for the layers in a single well section. Base d on the relation between permeability and each log variable at each point on su rrounding rock, this paper puts forward a predicting model, a non-linear relatio n between logging information and permeability by means of BP neural network, to calculate each point's permeability at high accuracy. The model is used to pro cess the log data from well T3. The application result is satisfied. The metho d provides a new approach for permeability interpretation from logging data.关键词
测井解释/渗透率/神经网络/逐点预测分类
能源科技引用本文复制引用
夏宏泉,张贤辉,范翔宇,任兴国,胡振平..基于神经网络法的逐点渗透率测井解释研究[J].西南石油学院学报,2001,23(1):11-13,3.
