## ENERGY 251: Thermodynamics of Equilibria

Lectures, problems. The volumetric behavior of fluids at high pressure. Equation of state representation of volumetric behavior. Thermodynamic functions and conditions of equilibrium, Gibbs and Helmholtz energy, chemical potential, fugacity. Phase diagrams for binary and multicomponent systems. Calculation of phase compositions from volumetric behavior for multicomponent mixtures. Experimental techniques for phase-equilibrium measurements. May be repeated for credit.

Terms: Aut
| Units: 3
| Repeatable for credit

Instructors:
Kovscek, A. (PI)
;
Yang, J. (TA)

## ENERGY 253: Carbon Capture and Sequestration (ENERGY 153)

CO2 separation from syngas and flue gas for gasification and combustion processes. Transportation of CO2 in pipelines and sequestration in deep underground geological formations. Pipeline specifications, monitoring, safety engineering, and costs for long distance transport of CO2. Comparison of options for geological sequestration in oil and gas reservoirs, deep unmineable coal beds, and saline aquifers. Life cycle analysis.

Terms: Aut
| Units: 3-4

Instructors:
Benson, S. (PI)
;
Wen, G. (TA)

## ENERGY 255: Master's Report on Energy Industry Training

On-the-job training for master's degree students under the guidance of on-site supervisors. Students submit a report detailing work activities, problems, assignments, and key results. May be repeated for credit. Prerequisite: consent of adviser.

Terms: Aut, Sum
| Units: 1-3
| Repeatable for credit

Instructors:
Azevedo, I. (PI)
;
Aziz, K. (PI)
;
Battiato, I. (PI)
...
more instructors for ENERGY 255 »

Instructors:
Azevedo, I. (PI)
;
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)
;
Onori, S. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)

## ENERGY 260: Uncertainty Quantification in Data-Centric Simulations (ENERGY 160)

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., quasi-MC, 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

Instructors:
Tartakovsky, D. (PI)
;
Boukarim, A. (TA)

## ENERGY 263: Introduction to Quantitative Methods for Energy Decisions

This course provides students from various backgrounds with knowledge of the principles and quantitative methods of decision analysis and policy analysis to tackle interdisciplinary questions in the context of sustainable energy systems. We consider engineering analysis, decision analysis and economic analysis in the formulation of answers to address energy system problems. We will use methods such as life-cycle assessment, benefit-cost and cost-effectiveness analysis, microeconomics, distributional metrics, risk analysis methods, sensitivity and uncertainty analysis, multi-attribute utility theory, and simulation and optimization. The integration of uncertainty into formal methods is a fundamental component of the course.

Terms: Win
| Units: 3

## ENERGY 266: Town Hall Meeting (Simulated)

This course will offer students the opportunity to structure and present a simulated public meeting on a current topic involving energy production and its effects on a local community. Students will choose a topic and develop a town hall meeting event that reflects the range of concerns of public, corporate, and regulatory stakeholders. The meeting will be presented on campus to the Stanford Community and the general public. Students will have the opportunity to hone their skills in delivering persuasive oral arguments, critical thinking, and leadership.

Terms: Win
| Units: 1

Instructors:
Kourt, W. (PI)
;
Pande, K. (PI)

## ENERGY 267: Engineering Valuation and Appraisal of Oil and Gas Wells, Facilities, and Properties (ENERGY 167)

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

## ENERGY 271: Energy Infrastructure, Technology and Economics (ENERGY 171)

Oil and gas represents more than 50% of global primary energy. In delivering energy at scale, the industry has developed global infrastructure with supporting technology that gives it enormous advantages in energy markets; this course explores how the oil and gas industry operates. From the perspective of these established systems and technologies, we will look at the complexity of energy systems, and will consider how installed infrastructure enables technology development and deployment, impacts energy supply, and how existing infrastructure and capital invested in fossil energy impacts renewable energy development. Prerequisites:
Energy 101 and 102 or permission of instructor.

Terms: Aut
| Units: 3

Instructors:
Sears, R. (PI)
;
Rutherford, J. (TA)

## ENERGY 273: Special Topics in Energy Resources Engineering

Terms: Aut, Win, Spr, Sum
| Units: 1-3
| Repeatable for credit

Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
...
more instructors for ENERGY 273 »

Instructors:
Aziz, K. (PI)
;
Battiato, I. (PI)
;
Benson, S. (PI)
;
Brandt, A. (PI)
;
Durlofsky, L. (PI)
;
Gerritsen, M. (PI)
;
Horne, R. (PI)
;
Kourt, W. (PI)
;
Kovscek, A. (PI)
;
Mukerji, T. (PI)
;
Sears, R. (PI)
;
Tartakovsky, D. (PI)
;
Tchelepi, H. (PI)
;
Voskov, D. (PI)
;
Pradhan, A. (TA)

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