The goal of this project was to develop the first generation of models that fully address the coupling of dominant processes controlling the behavior of fluid, chemical and biological components in the subsurface. The large memory and computational performance of multiprocessor computing architectures would be exploited to provide modeling capabilities with unprecedented process detail and resolution to assess new scientific hypotheses, assist with experimental design, and to evaluate environmental technologies and remediation design. Moreover, the proposed capability developments would advance the scientific agenda for the subsurface through the realized advances in complex multiple-phase reaction modeling.
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The goal of this project was to develop the first generation of models that fully address the coupling of dominant processes controlling the behavior of fluid, chemical and biological components in the subsurface. The large memory and computational performance of multiprocessor computing architectures would be exploited to provide modeling capabilities with unprecedented process detail and resolution to assess new scientific hypotheses, assist with experimental design, and to evaluate environmental technologies and remediation design. Moreover, the proposed capability developments would advance the scientific agenda for the subsurface through the realized advances in complex multiple-phase reaction modeling.
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Yabusaki, Steven B.; Bryant, Steven L.; Chen, Shi-Yi; Fann, George I.; Flach, Gregory P.; Gray, William G. et al.Mechanistic Process Modeling for Subsurface Remediation,
report,
August 30, 2002;
United States.
(https://digital.library.unt.edu/ark:/67531/metadc1409690/:
accessed July 14, 2025),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
