计算机与数字工程2017，Vol.45Issue(8)：1629-1631,1674,4.DOI:10.3969/j.issn.1672-9722.2017.08.036
基于BP神经网络的谱图形态提取在水淹评价中的研究
Feture of Chromatogram Based on BP Neural Network in Evalution of Water Flooded Layer
摘要
Abstract
At present,most of China's oil field stop into the late stage of high water cut,it increases difficulty for adjustment and tapping potential,it urgently need an efficient reservoir flooding evaluation method to solve the problem of single parameters for evaluation of water flooded layer. By using the method of BP neural network to fit the form of chromatogram,extracting characteristic parameters from the chromatogram,the characteristic parameters are applied to the evaluation of water flooded layer. A method for extracting the characteristic parameters of chromatogram by gamma function and BP neural network is proposed,using the character-istic parameters and the original data to create the water flooded layer evaluation chart,the evaluation effect of water flooded layer is improved,theoretical basis for remaining oil is provided.关键词
饱和烃气相色谱图/BP神经网络/水淹层/形态特征Key words
chromatogram/BP neural network/water flooded layer/characteristic parameter分类
天文与地球科学引用本文复制引用
张方舟,佘天威,孙永颖,韩乐..基于BP神经网络的谱图形态提取在水淹评价中的研究[J].计算机与数字工程,2017,45(8):1629-1631,1674,4.基金项目
重大工程关键技术装备研究与应用项目(编号:2013E-38-09)资助. （编号:2013E-38-09）
