Pressure Prediction Technology of the Deep Strata Based on BP Neural Network

Abstract:

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. The accurate prediction of strata pressure is the base for safely, quality and efficiently drilling, decreasing hole problems and reasonable development of the reservoir. Because of the high cost, long cycle of the formation pressure measured method, which may influence the safety of drilling operation, thus a new method for predicting strata pressure, based on the BP neural network, is presented in this paper, and establishing process of the neural network forecast model are discussed in detail. This method takes the acoustic time, natural potential, natural gamma ray log data and pipe pressure test data as study sample, which has a very high accuracy. The paper predicts strata pressure of the Saertu oil field and Xingshugang oil field in Daqing, and the results show that relative error between the predicted data and experimental data is less than ±8.9%.

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong

Pages:

28-31

DOI:

10.4028/www.scientific.net/AMR.143-144.28

Citation:

W. Li et al., "Pressure Prediction Technology of the Deep Strata Based on BP Neural Network", Advanced Materials Research, Vols. 143-144, pp. 28-31, 2011

Online since:

October 2010

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Price:

$35.00

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