Paper Title:
Pressure Prediction Technology of the Deep Strata Based on BP Neural Network
  Abstract

. 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, T. Yan, Y. J. Liang, "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
Export
Price
$32.00
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