An improved particle swarm algorithm to optimize PID neural network for pressure control strategy of managed pressure drilling

Author:

Zhang He,Yuan Xiru

Funder

Sichuan Province Applied Basic Research Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference27 articles.

1. Nie X, Chen Y, Meng Y, Yang C, Yan J, Wang Z (2010) Current status and development strategy of managed pressure drilling technology. Drill Prod Technol 02:38–39

2. Yang X, Zhou Y, Fang S, Liu W (2011) Design and laboratory test of hierarchical intelligent control system for managed pressure drilling. Pet Drill Tech 04:13–18

3. Liu W, Shi L, Wang K, Fang S, Guo Q, Yan X, Zhu W (2015) A method for real-time correction of wellbore pressure. China Patent: 201510567464.5

4. Zhang X, Jiang Y, Zhou Y, Liu W, Wang W, Wang K, Yan X (2014) Simulation calculation method for gas-liquid two-phase flow in managed pressure drilling. Chinese Patent: 201410371178.7

5. Davoudi M, Smith JR, Chirinos JE et al (2011) Evaluation of alternative initial responses to kicks taken during managed-pressure drilling. SPE Drill Complet 26(02):169–181

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