Browsing by Subject "Formation"
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Item Evaluation of water production in tight gas sands in the Cotton Valley formation in the Caspiana, Elm Grove and Frierson fields(Texas A&M University, 2007-04-25) Ozobeme, Charles ChineduNormally in tight gas sands, water production is not a problem but in such low permeability reservoirs it is difficult to produce gas at commercial flow rates. Since water is more viscous than gas, very little water is normally produced in low permeability reservoirs. The production of large volumes of water from tight gas sands, say 50-100 bbls of water per MMcf of gas constitutes a cause for concern. High water production (>200 bbls of water per MMcf of gas) has been observed in the low permeability Cotton Valley sands in the Caspiana, Elm Grove and Frierson fields of North Louisiana. This research evaluates water production in the above tight gas sands using field data provided by Matador Resource, a member of the Crisman Institute in Texas A&M university. The research is aimed at providing realistic reservoir scenarios of excess water production in tight gas sands. Log analysis, property trends and well production profiles have been used in establishing the different scenarios. The reservoir simulation results and the production trends show a possible water source from faults and fractures connecting the Travis Peak/Smackover sands to the Cotton Valley sands. An improved understanding of the reservoir would help in further field development.Item Formation control for cooperative surveillance(2009-05-15) Woo, Sang-BumConstructing and maintaining a formation is critical in applications of cooperative control of multi-agent systems. In this research we address the formation control problem of generating a formation for a group of nonholonomic mobile agents. The formation control scheme proposed in this work is based on a fusion of leader-follower and virtual reference approaches. This scheme gives a formation constraint representation that is independent of the number of agents in the formation and the resulting control algorithm is scalable. One of the important desired features in controller design is that the formation errors defined by formation constraints should be stabilized globally and exponentially by the controller. The proposed controller is based on feedback linearization, and formation errors are shown to be globally exponentially stable in the sense of Lyapunov. Since formation errors are stabilized globally, the proposed controller is applicable to both formation keeping and formation construction problems. As a possible application, the proposed algorithm is implemented in a cooperative ground moving target surveillance scenario. The proposed algorithm enables the determination of the minimal number of agents required for surveillance of a moving target. The number of agents returned by this scheme is not optimal and hence is a conservative solution. However, this is justified by the computational savings the scheme offers.