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应用灰色模式预测潜山灰岩产能
Productivity Prediction of Buried Hill Carbonate Rock by Use of Grey Pattern Recognition
【摘要】 灰色系统理论的最大优点是,在评价一个目标时,不只是考虑"是"与"非"两个极端情况,而是认为参数之间存在着"灰关系",不能够硬性地把一个参数划归到某一类,而只能认为它归属某一类的程度如何。本文采用灰色模式识别法,对济阳坳陷义和庄区块的潜山灰岩产能进行预测,即通过数据标准化、构造白化函数阵、进行模式训练等步骤,来建立已测试层段的模式,再根据回归模式预测未测试层段的产能等参数。
【Abstract】 The greatest advantage of grey system is that not only are the two kinds of extreme conditions of "yes" or "no" considered but also the "grey relationship" exsits among parameters while a subject is being appraised.So a parameter could not be delimited inflexibly to some kind of parameter, but could be delimited to some extent. In this paper, by using the method of grey pattern recognition, the productivity of buried hill carbonate rock of Yihezhuang tract was predicted. The concrete procedure is as follows: ,first, model of tested strata is made by standardizing data, making minefest function matrix and training model, then, productivity of untested strata is predicted by using the model.
【Key words】 grey system; pattern recognition; minefest function; productivity prediction; Yihezhuang tract;
- 【文献出处】 新疆石油学院学报 ,Journal of Xinjiang Petroleum Institute , 编辑部邮箱 ,2003年01期
- 【分类号】P631.4
- 【被引频次】1
- 【下载频次】81