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油田产量趋势预测系统设计与实现

发表时间:2013-09-30  浏览量:1037  下载量:317
全部作者: 姚纪明,郭文学
作者单位: 河北联合大学矿业工程学院;中国地质大学(北京)地质过程与矿产资源国家重点实验室
摘 要: 通过对各种影响因素进行分析,研究运用修正的灰色GM(1,1)模型和BP人工神经网络组合方法对油田产量进行短期预测,运用Weng旋回模型对油田未来产量进行中长期预测。基于此思想,编制了石油产量预测系统,该系统是在Windows环境下,以Visual C++6.0为前台开发语言,利用动态数据对象(activex data objects,ADO)技术与Access数据库相结合,并采用面向对象编辑开发的计算机软件。研究重点阐述了该系统的设计思想及其主要模块的实现方法。
关 键 词: 能源计算与测量;石油;预测;计算机软件;数据库
Title: System design and implementation of oil production trends forecast
Author: YAO Jiming, GUO Wenxue
Organization: College of Mining Engineering, Hebei United University; State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences
Abstract: Through the analysis of various influence factors, the paper constructed a forecasting model combining GM(1,1) with BP artificial neural network to predict the short-term trends of oil production, and used the Weng’s cycle model to predict the medium-and long-term trends. Based on this, a general trend forecast software of oil production was intruduced. This software system was designed with Visual C++6.0 in Windows platform, combined with the database of Access and the technology of activex data objects (ADO). The paper stated the design conception of the system and operation method of the main modules.
Key words: energy calculation and measurement; petroleum; forecast; computer soft; database
发表期数: 2013年9月第18期
引用格式: 姚纪明,郭文学. 油田产量趋势预测系统设计与实现[J]. 中国科技论文在线精品论文,2013,6(18):1721-1726.
 
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