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Control of Down-hole Drilling Process Using a Computationally Efficient Dynamic Programming Method

[+] Author and Article Information
Chong Ke

Department of Mechanical Engineering Texas A&M University College of Engineering College Station, Texas 77843
mkxxz314@tamu.edu

Xingyong Song

Department of Engineering Technology and Industrial Distribution & Department of Mechanical Engineering Texas A&M University College of Engineering College Station, Texas 77843
songxy@tamu.edu

1Corresponding author.

ASME doi:10.1115/1.4039787 History: Received June 23, 2017; Revised March 20, 2018

Abstract

The unconventional down-hole resources such as shale oil and gas has gradually become a critical form of energy supply thanks to the recent petroleum technology advancement. Its economically viable and reliable production highly depends on the proper operation and control of the down-hole drilling system. The trend of deeper drilling in a complex environment requires a more effective and reliable control optimization scheme, either for pre-drilling planning or on-line optimal control. Given the nonlinear nature of the drilling system, such an optimal control is not trivial. In this paper, we present a method based on Dynamic Programming (DP) that can lead to a computationally efficient drilling control optimization. A drilling dynamics model that can enable this method is first constructed, and the DP algorithm is customized so much improved computational efficiency can be achieved compared with using standard DP. A higher order dynamics model is then used to validate the effectiveness of the optimized control, and the control robustness is also evaluated by adding perturbations to the model. The results verify that the proposed approach is effective and efficient to solve the down-hole drilling control optimization problem.

Copyright (c) 2018 by ASME
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