1) Oil-gas fields production prediction

油气田产量预报
2) forecast models for oil and gas field output

油气田产量预测模型
1.
This paper discusses the method unifying various forecast models for oil and gas field output with variable dimension fractal model(in which the fractal dimension D may be taken as power series,trigonometric series and the like about,but is not a constant),the reason for this is that various forecast models may be transformed to the variable dimension fractal model.
讨论应用变维分形模型N=C/rD(其中分维数D可以是关于r的幂级数,三角级数等,而不是常量)统一各种油气田产量预测模型(因为各种预测模型都可以变换为变维分形模型)。
3) oil/gas output

油气田产量
1.
New application of the forecast model of oil/gas output

油气田产量预测模型应用新方法
4) oilfield production forecast

油田产量预测
1.
A practical example of oilfield production forecast shows that using the improved gray fore.
通过对油田产量预测的实例计算表明,改进的灰色模型预测精度明显提高。
5) oilfield output

油田产量
1.
Based on the discrete hopfield neural network (DHNN), the decline pattern recognition of oilfield output was researched.
基于离散Hop fie ld神经网络(DHNN)对油田产量递减曲线模型的识别进行研究,提出基于DHNN识别油田产量递减曲线模型的方法。
2.
At first,the input-output relation between oilfield output and their influence factors is viewed as a time-varying system,then the BP neural network is introduced to parameter identification of differential simulation to obt.
两者有机结合,首先将微分模拟得到的油田产量与其影响因素的输入输出关系视为时变系统,再把BP神经网络引入到微分模拟参数识别中,建立具有时变特征的功能模拟预测新方法。
6) oilfield production

油田产量
1.
Building and applying a new decline model of oilfield production;

新型油田产量递减模型的建立与应用
补充资料:田产
1.田地和产业。亦指个人或团体等拥有的田地。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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