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Ph.D. Student
Josue Fonseca
Ph.D. Student in Energy Resources Engineering, admitted Autumn 2019
I consider myself a pragmatic, easy-going, and technical persona. I am always trying to be with good humor, which helps to reduce natural aging. My goal is to understand energy resources in order to use technical concepts when harvesting them for human development.
My academic background is in physics, with B.Sc., and M.Sc. degrees from Universidade Federal de Pernambuco - Brazil. Before I start my Ph.D. program, I have worked for 9 years in the petroleum industry at Petrobras. At that time, my job encompassed a variety of quantitative methods applied to geosciences, such as rock physics, seismic reservoir characterization, geomodeling applications, quantitative seismic interpretation, and geologic velocity model building.
As a geophysicist and researcher, my main objective is to combine concepts from several disciplines and data from different sources to extract valuable information about the Earth's subsurface. I am a firm believer that this sort of integration must be achieved by means of computational models along with geological expertise. Moreover, uncertainty quantification is required to fully characterize the output of any built model which mimics the subsurface. Therefore, I focus on evaluating interdisciplinary workflows that forecast rock properties in addition to its uncertainty quantification.
My academic background is in physics, with B.Sc., and M.Sc. degrees from Universidade Federal de Pernambuco - Brazil. Before I start my Ph.D. program, I have worked for 9 years in the petroleum industry at Petrobras. At that time, my job encompassed a variety of quantitative methods applied to geosciences, such as rock physics, seismic reservoir characterization, geomodeling applications, quantitative seismic interpretation, and geologic velocity model building.
As a geophysicist and researcher, my main objective is to combine concepts from several disciplines and data from different sources to extract valuable information about the Earth's subsurface. I am a firm believer that this sort of integration must be achieved by means of computational models along with geological expertise. Moreover, uncertainty quantification is required to fully characterize the output of any built model which mimics the subsurface. Therefore, I focus on evaluating interdisciplinary workflows that forecast rock properties in addition to its uncertainty quantification.