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

WANG Tingting, ZHAO Wanchun, SUN Chengyan, ZHANG Huizhen, SHAO Keyong

Abstract


The interrelated characteristics and the complexity of cementation quality affecting factors are considered, 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.
Key words: Cement job quality; Gray system; Orthogonal wavelet neural network


Keywords


Cement job quality; Gray system; Orthogonal wavelet neural network

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References


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DOI: http://dx.doi.org/10.3968/5137

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