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ENERGY 360: Advanced Research Work in Energy Resources Engineering

Graduate-level work in experimental, computational, or theoretical research. Special research not included in graduate degree program. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

ENERGY 361: Master's Degree Research in Energy Resources Engineering

Experimental, computational, or theoretical research. Advanced technical report writing. Limited to 6 units total. (Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-6 | Repeatable for credit

ENERGY 362: Engineer's Degree Research in Energy Resources Engineering

Graduate-level work in experimental, computational, or theoretical research for Engineer students. Advanced technical report writing. Limited to 15 units total, or 9 units total if 6 units of 361 were previously credited.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable 15 times (up to 15 units total)

ENERGY 363: Doctoral Degree Research in Energy Resources Engineering

Graduate-level work in experimental, computational, or theoretical research for Ph.D. students. Advanced technical report writing.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

ENERGY 365: Special Research Topics in Energy Resources Engineering

Graduate-level research work not related to report, thesis, or dissertation. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable 6 times (up to 30 units total)

ENERGY 369: Practical Energy Studies

Students work on realistic industrial reservoir engineering problems. Focus is on optimization of production scenarios using secondary or tertiary recovery techniques. When possible, projects are conducted in direct collaboration with industry. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-3

ENERGY 801: TGR Project

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit

ENERGY 802: TGR Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit

ENERGY 242: Topics in Advanced Geostatistics (EESS 263)

Conditional expectation theory and projections in Hilbert spaces; parametric versus non-parametric geostatistics; Boolean, Gaussian, fractal, indicator, and annealing approaches to stochastic imaging; multiple point statistics inference and reproduction; neural net geostatistics; Bayesian methods for data integration; techniques for upscaling hydrodynamic properties. May be repeated for credit. Prerequisites: 240, advanced calculus, C++/Fortran.
| Repeatable for credit

ENERGY 247: Stochastic Simulation

Characterization and inference of statistical properties of spatial random function models; how they average over volumes, expected fluctuations, and implementation issues. Models include point processes (Cox, Poisson), random sets (Boolean, truncated Gaussian), and mixture of Gaussian random functions. Prerequisite: 240.
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