Abstract
Aimed at the puzzle of uncertainty resulted from qualitative selection for fracturing candidate of well and layer in oilfield, the paper proposed a sort of prediction model for fracturing candidate effect based on FNNS. In the paper, it was analyzed to the influence factors resulted in predictive precision being poor, discussed the FNNS and its fuzzy decision method, and also explored the modeling and forecasting of optimization layer in candidate wells. The application example shows that the well or layer of fracturing candidate can been optimized quantitatively by means of prediction model based on FNNS.
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Huang, Wq., Zheng, Ap., Hu, Cq., Liu, H., Zhao, W. (2009). Application of FNNS for Fracturing Candidate Optimization in Oilfield. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_106
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DOI: https://doi.org/10.1007/978-3-642-03664-4_106
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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