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University of Texas – Austin

1. Nasir, Yusuf, M.S. in Engineering. Derivative-free techniques for optimal development of conventional and unconventional reservoirs.

Degree: Petroleum and Geosystems Engineering, 2018, University of Texas – Austin

The cyclic nature of oil price and the incentive from an optimal field development strategy has made the need for the development and management of oil and gas field to be done in an optimal fashion in order to maximize the asset value, while satisfying the optimization constraints which can be in the form of production limits, water cut, or well spacing. The optimal development plan for an oil field is hinged on the optimal locations and production scheme of wells in the field. Computational optimization algorithms, coupled with a reservoir simulator, have become increasingly popular in determining the optimal locations of wells and the optimal controls to be imposed on them. These algorithms should be able to deal with highly non-linear objective functions, the absence of gradient information, and a limited reservoir simulation budget. In this work, we considered derivative-free and non-invasive techniques: Enhanced Success History-Based Adaptive Differential Evolution (ESHADE) strategy with linear population size reduction, which is a variant of L-SHADE (recognized as one of the state-of-the-art global stochastic optimizer for continuous variable), and a Mesh Adaptive Direct Search (MADS) local pattern search method. These two methods are hybridized to develop a hybrid framework (E-MADS) that combines the advantageous aspects of both methods in order to improve optimization efficiency. Applications of these algorithms to the joint optimization of well location and time-varying control problem, with bounds and nonlinear constraints, are presented in this work. We considered both conventional and unconventional reservoirs in this work. In unconventional reservoirs, we considered the placement and control of horizontal wells and their corresponding length, the number of fractures, and fracture spacing. ESHADE is shown to outperform traditional global optimization algorithms such as Particle Swarm Optimization (PSO) and a real-coded Genetic Algorithm (GA). The E-MADS hybrid is also shown to have a superior performance relative to the standalone ESHADE and MADS methods for the joint optimization problem. We also incorporated a proxy in the E-MADS algorithm and it was shown to improve the efficiency of the hybrid algorithm. Advisors/Committee Members: Sepehrnoori, Kamy, 1951- (advisor).

Subjects/Keywords: Derivative-free optimization; Constrained optimization; Differential evolution; Reservoir simulation; Well placement; Production optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nasir, Yusuf, M. S. i. E. (2018). Derivative-free techniques for optimal development of conventional and unconventional reservoirs. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nasir, Yusuf, M S in Engineering. “Derivative-free techniques for optimal development of conventional and unconventional reservoirs.” 2018. Thesis, University of Texas – Austin. Accessed November 22, 2018. http://hdl.handle.net/2152/69254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nasir, Yusuf, M S in Engineering. “Derivative-free techniques for optimal development of conventional and unconventional reservoirs.” 2018. Web. 22 Nov 2018.

Vancouver:

Nasir, Yusuf MSiE. Derivative-free techniques for optimal development of conventional and unconventional reservoirs. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2018 Nov 22]. Available from: http://hdl.handle.net/2152/69254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nasir, Yusuf MSiE. Derivative-free techniques for optimal development of conventional and unconventional reservoirs. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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