Search
Now showing items 1-10 of 23
Use of core and drilling data for selective stimulation selection in the Caney Shale
(2021-05)
Completion of shale plays are costly and require intelligent optimization techniques for an effective cost-saving means of production. An optimization technique is presented that utilizes raw drilling data from existing ...
Recursive Newton-Euler dynamics and sensitivity analysis for dynamic motion planning
(2020-12)
In this study, sensitivity equations are derived for recursive Newton-Euler dynamics using Denavit-Hartenberg (DH) moving coordinates. The dynamics and sensitivity equations depend on the 3x3 DH rotation matrices. Compared ...
Evaluation of Chemical Processes for Sustainable Optimization
(Oklahoma State University, 2011-05-01)
Increasing concerns over global climate change due to greater amounts of greenhouse gases in the atmosphere or ozone depletion etc. are leading engineers to address `environmental' impacts of industrial processes. Additionally, ...
Self-Adaptive Genetic Algorithm for Constrained Optimization
(Oklahoma State University, 2006-12-01)
This study proposes a self-adaptive penalty function algorithm for solving constrained optimization problems using genetic algorithm (GA). Constrained optimization is a practically relevant and challenging field that deals ...
Robust Shortest Paths under Uncertainty Using Conditional Value-at-Risk
(Oklahoma State University, 2011-12-01)
Finding a shortest path in a network is a classical problem in discrete optimization. The systems underlying the network models are subjects to a variety of sources of uncertainty. The purpose of this thesis is to model ...
Pseudo-Component Viscoelastic Modeling of Soft Tissues
(Oklahoma State University, 2010-12-01)
Understanding the response of human tissues to externally imposed stress and strain is critical to improving quality of life. This work explored regression approaches and modeling that aid discovery and describe mechanisms ...
Hierarchical Optimization Approach for Cooperative Vehicle Networks
(Oklahoma State University, 2005-12-01)
This research presents a control algorithm for the cooperative control of unmanned mobile robots. The algorithm relies on continuously solving an open loop mixed integer linear programming optimization problem. Since the ...
Accelerating convergence of leapfrogging optimization - Applications to nonlinear process modeling and nonlinear model predictive control
(2014-07)
Conventionally used optimization methods in chemical engineering applications such as linear programming (LP), Levenberg-Marquardt and sequential quadratic programming (SQP) handle nonlinear objective function (OF) surfaces ...
Drilling optimization of a Caney shale well using offset well drilling data
(2021-12)
Cost reduction can be achieved by utilizing drilling simulators to efficiently optimize new wells to be drilled using available adjacent or offset well drilling data. Different approaches involving simulators that use ...