NDLI: The Study and Application of Gray-Orthogonal Wavelet Network Forecasting Mode on Cementing Quality

Content Provider	IEEE Xplore Digital Library
Author	Zhao Wan Chun Wan Ting Ting Aichi Yin Jin Dan
Copyright Year	2010
Abstract	The interrelated characteristics and the complexity of cementation quality affecting factors are cosidered, a new method of forecasting cementing quality based on Gray-Orthogonal wavelet network is set up. The method regards some factors affecting the cementing quality as the input parameters of the model, and regards quantifying cementation quality as the output parameter of the model. Evaluating and forecasting the cementing quality of Bei1 block of 20 wells in Daqing Oilfield. The maximum fractional error between forecasting results and actual results is 2.66%. The associated problem of impacting factors is solved by the new forecasting method,and the prediction accuracy of cementing quality is improved. A reliable theoretical basis of cementing operation parameters design and construction program adjustment for new wells in oil field is provided.
Starting Page	5327
Ending Page	5330
File Size	314203
Page Count	4
File Format	PDF
e-ISBN	9781424466474
DOI	10.1109/ICEE.2010.1333
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Laboratories Orthogonal wavelet neural network Artificial neural networks Predictive models Reliability theory Forecasting Petroleum Cement job quality Gray system
Content Type	Text
Resource Type	Article

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