基于神经网络信息融合的油气藏信息存储系统设计
Design of Oil and Gas Reservoir Information Storage System Based on Neural Network Information Integration
胡文涛 1魏丹 1付童童 1张鹏德 1高洁1
作者信息
- 1. 中国石油化工股份有限公司西北油田分公司勘探开发研究院,新疆乌鲁木齐 830011
- 折叠
摘要
针对现行油气藏信息存储系统鲁棒性、安全性较低的问题,提出了基于神经网络信息融合的油气藏信息存储系统设计方案.在系统硬件方面,通过对信息存储器选型与设计,完成系统硬件设计;在系统软件方面,利用神经网络信息融合技术对油气藏信息分类,并设计数据库对分类的油气藏信息存储.实验结果表明,在信息存储过载情况下系统崩溃率未超过2％,系统安全性系数在0.8以上,具有较强的鲁棒性与安全性.
Abstract
In response to the problems of robustness and low security in the current oil and gas reservoir information storage system,a design scheme of oil and gas reservoir information storage system based on neural network information integration is proposed.The system hardware design is completed by selecting and designing information memorizer;In terms of system software,neural network information integration technology is used to classify oil and gas reservoir information,and a database is designed to store the classified oil and gas reservoir information.The experimental results show that under the condition of information storage overload,the system crash rate does not exceed 2％,the system security coefficient is above 0.8.It has strong robustness and security.
关键词
神经网络信息融合/油气藏信息/存储系统/信息存储器/信息分类Key words
neural network information integration/oil and gas reservoir information/storage system/information memorizer/information classification引用本文复制引用
出版年
2024
NETL
NSTL
万方数据