DocumentCode
2422688
Title
The Study and Application of Gray-Orthogonal Wavelet Network Forecasting Mode on Cementing Quality
Author
Zhao Wan Chun ; Wan Ting Ting ; Aichi ; Jindan, Yin
Author_Institution
Oil & Gas Recovery to Improve Key Lab. of Educ. Minist. for Enhance Oil Recovery, Daqing Pet. Inst., Daqing, China
fYear
2010
fDate
7-9 May 2010
Firstpage
5327
Lastpage
5330
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.
Keywords
cements (building materials); oil technology; wavelet transforms; cementing operation parameter design; cementing quality forecasting; fractional error; gray-orthogonal wavelet network forecasting; impacting factor; oil field; oil well; Artificial neural networks; Forecasting; Laboratories; Petroleum; Predictive models; Reliability theory; Training; cement job quality; gray system; orthogonal wavelet neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3997-3
Type
conf
DOI
10.1109/ICEE.2010.1333
Filename
5591978
Link To Document