ENERGY 101: Energy and the Environment (EARTHSYS 101)
Energy use in modern society and the consequences of current and future energy use patterns. Case studies illustrate resource estimation, engineering analysis of energy systems, and options for managing carbon emissions. Focus is on energy definitions, use patterns, resource estimation, pollution. Recommended:
MATH 21 or 42.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYAQR, WAYSMA

Grading: Letter or Credit/No Credit
Instructors:
Durlofsky, L. (PI)
;
Kovscek, A. (PI)
ENERGY 121: Fundamentals of Multiphase Flow (ENERGY 221)
Multiphase flow in porous media. Wettability, capillary pressure, imbibition and drainage, Leverett Jfunction, transition zone, vertical equilibrium. Relative permeabilities, Darcy's law for multiphase flow, fractional flow equation, effects of gravity, BuckleyLeverett theory, recovery predictions, volumetric linear scaling, JBN and JonesRozelle determination of relative permeability. Frontal advance equation, BuckleyLeverett equation as frontal advance solution, tracers in multiphase flow, adsorption, threephase relative permeabilities.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
Instructors:
Tchelepi, H. (PI)
;
Fuks, O. (TA)
ENERGY 155: Undergraduate Report on Energy Industry Training
Onthejob practical training under the guidance of onsite supervisors. Required report detailing work activities, problems, assignments and key results. Prerequisite: written consent of instructor.
Terms: Aut, Win, Spr, Sum

Units: 13

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
...
more instructors for ENERGY 155 »
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
;
Caers, J. (PI)
;
Durlofsky, L. (PI)
;
Gerritsen, M. (PI)
;
Horne, R. (PI)
;
Kovscek, A. (PI)
;
Mukerji, T. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)
ENERGY 160: Uncertainty Quantification in DataCentric Simulations (ENERGY 260)
This course provides a brief survey of mathematical methods for uncertainty quantification. It highlights various issues, techniques and practical tools available for modeling uncertainty in quantitative models of complex dynamic systems. Specific topics include basic concepts in probability and statistics, spatial statistics (geostatistics and machine learning), Monte Carlo simulations, global and local sensitivity analyses, surrogate models, and computational alternatives to Monte Carlo simulations (e.g., quasiMC, moment equations, the method of distributions, polynomial chaos expansions). Prerequisites: algebra (
CME 104 or equivalent), introductory statistics course (
CME 106 or equivalent).
Terms: Win

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Tartakovsky, D. (PI)
;
Orta Alemán, D. (TA)
ENERGY 167: Engineering Valuation and Appraisal of Oil and Gas Wells, Facilities, and Properties (ENERGY 267)
Appraisal of development and remedial work on oil and gas wells; appraisal of producing properties; estimation of productive capacity, reserves; operating costs, depletion, and depreciation; value of future profits, taxation, fair market value; original or guided research problems on economic topics with report. Prerequisite: consent of instructor.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
ENERGY 180: Oil and Gas Production Engineering (ENERGY 280)
Design and analysis of production systems for oil and gas reservoirs. Topics: well completion, singlephase and multiphase flow in wells and gathering systems, artificial lift and field processing, well stimulation, inflow performance. Prerequisite: 120.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
Instructors:
Sears, R. (PI)
;
Muradov, R. (TA)
ENERGY 191: Optimization of Energy Systems (ENERGY 291)
Introductory mathematical programming and optimization using examples from energy industries. Emphasis on problem formulation and solving, secondary coverage of algorithms. Problem topics include optimization of energy investment, production, and transportation; uncertain and intermittent energy resources; energy storage; efficient energy production and conversion. Methods include linear and nonlinear optimization, as well as multiobjective and goal programming. Tools include Microsoft Excel and AMPL mathematical programming language. Prerequisites:
MATH 20, 41, or
MATH 51, or consent of instructor. Programming experience helpful (e.g,,
CS 106A,
CS 106B).
Terms: Win

Units: 34

Grading: Letter (ABCD/NP)
ENERGY 192: Undergraduate Teaching Experience
Leading field trips, preparing lecture notes, quizzes under supervision of the instructor. May be repeated for credit.
Terms: Aut, Win, Spr, Sum

Units: 13

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
...
more instructors for ENERGY 192 »
Instructors:
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
;
Durlofsky, L. (PI)
;
Gerritsen, M. (PI)
;
Horne, R. (PI)
;
Kovscek, A. (PI)
;
Mukerji, T. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)
ENERGY 193: Undergraduate Research Problems
Original and guided research problems with comprehensive report. May be repeated for credit.
Terms: Aut, Win, Spr, Sum

Units: 13

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
...
more instructors for ENERGY 193 »
Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
;
Caers, J. (PI)
;
Durlofsky, L. (PI)
;
Gerritsen, M. (PI)
;
Horne, R. (PI)
;
Kovscek, A. (PI)
;
Mukerji, T. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)
Filter Results: