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Control Model of Throttle Back Pressure of Managed Pressure Drilling

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This paper established a controlling model of Throttling Back Pressure system of Managed Pressure Drilling (MPD), and aim at its nonlinear characteristics of the model, a fuzzy-PID controlling method with a capability of parameter self-tuning was proposed. This method utilizes the idea of fuzzy controlling and designs a fuzzy inference theory to realize the function of online tuning PID control parameters. Through comparing this controlling algorithm with conventional controlling algorithms and analyzing, results showed that overshoot of this throttling back pressure controlling system using fuzzy-PID controlling method with a capability of parameter self-tuning reduced to 4.1%, and its dynamic response speed reduced to 1.4 s, which can effectively solve back pressure controlling model problems such as slow response and poor robustness during MPD using conventional controlling algorithms.

Keywords: Fuzzy-PID; MPD; Throttle Valve; Throttling Back Pressure

Document Type: Research Article

Affiliations: Electromechanical Engineering College, Southwest Petroleum University, Chengdu 610500, China

Publication date: 01 October 2016

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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