Abstract
It is the important technology to take the optimum control of automatic drilling in the course of oilfield drilling in accordance with actual situation. Due to the complexity of drilling process and the non-linear relationship between input and output of drilling system; it’s difficult to acquire satisfied results to adopt general control method. This article presents a new control method which based on the OBP neural network. The OBP algorithm and the design of control system are elaborated in details in this paper. The automatic feed control method based on OBP neural network has applied successfully in Liaohe and Xinjiang oilfield. The result indicated that the control system is efficient and response, stability of the system, the control precision is improved. All the characters index arrive the control required.
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Feng, D. et al. (2010). The Automatic Feed Control Based on OBP Neural Network. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_31
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DOI: https://doi.org/10.1007/978-3-642-13498-2_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13497-5
Online ISBN: 978-3-642-13498-2
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