printer friendly pageENERGY 123: When Technology Meets Reality; An In-depth Look at the Deepwater Horizon Blowout and Oil Spill
The Deepwater Horizon blowout and spill in April 2010 occurred on one of the most advanced deepwater drilling rigs in the world operated by one of the most experienced companies. In this course we will look at and discuss the technologies and management practices involved in deepwater drilling and discuss how an accident like this happens and what could have been done differently to avoid it. We will focus on the Horizon and also look briefly at other high profile industrial and technological accidents.
Terms: Spr
| Units: 1
Instructors:
Sears, R. (PI)
ENERGY 125: Modeling and Simulation for Geoscientists and Engineers
Hands-on. Topics include deterministic and statistical modeling applied to problems such as flow in the subsurface, atmospheric pollution, biological populations, wave propagation, and crustal deformation. Student teams define and present a modeling problem.
Last offered: Winter 2011
ENERGY 130: Well Log Analysis I
For earth scientists and engineers. Interdisciplinary, providing a practical understanding of the interpretation of well logs. Lectures, problem sets using real field examples: methods for evaluating the presence of hydrocarbons in rock formations penetrated by exploratory and development drilling. The fundamentals of all types of logs, including electric and non-electric logs.
Terms: Aut
| Units: 3
Instructors:
Lindblom, R. (PI)
;
Gudmundsdottir, H. (TA)
ENERGY 141: Seismic Reservoir Characterization (ENERGY 241, GEOPHYS 241A)
(Same as GP241) Practical methods for quantitative characterization and uncertainty assessment of subsurface reservoir models integrating well-log and seismic data. Multidisciplinary combination of rock-physics, seismic attributes, sedimentological information and spatial statistical modeling techniques. Student teams build reservoir models using limited well data and seismic attributes typically available in practice, comparing alternative approaches. Software provided (SGEMS, Petrel, Matlab). Offered every other year.nRecommended: ERE240/260, or GP222/223, or GP260/262 or
GES253/257; ERE246, GP112
Last offered: Spring 2016
ENERGY 146: Reservoir Characterization and Flow Modeling with Outcrop Data (ENERGY 246, GS 246)
Project addressing a reservoir management problem by studying an outcrop analog, constructing geostatistical reservoir models, and performing flow simulation. How to use outcrop observations in quantitative geological modeling and flow simulation. Relationships between disciplines. Weekend field trip.
Terms: Aut
| Units: 3
ENERGY 153: Carbon Capture and Sequestration (ENERGY 253)
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)
;
Hatchell, D. (PI)
ENERGY 155: Undergraduate Report on Energy Industry Training
On-the-job practical training under the guidance of on-site supervisors. Required report detailing work activities, problems, assignments and key results. Prerequisite: written consent of instructor.
Terms: Aut, Win, Spr, Sum
| Units: 1-3
| Repeatable
for credit
ENERGY 158: Bringing New Energy Technologies to Market: Optimizing Technology Push and Market Pull
This research-based seminar will evaluate the impact of market interventions in commercializing four segments of our energy mix: wind, photovoltaics, lighting, and batteries. To accelerate the development of new technologies to reduce greenhouse gas emissions and improve national security, governments use policies like direct R&D funding, financial incentives or penalties, mandatory targets or caps, and performance standards to create market conditions that favor emerging technologies. Findings outlining the most effective mix of interventions over time will be submitted for publication.nEnrollment limited to 12 graduate and co-term students. Those interested please email a paragraph to cathyzoi@stanford.edu by September 16, 2013 expressing why you want to take part and research experience you can bring to the seminar.
Last offered: Autumn 2013
ENERGY 160: Modeling Uncertainty in the Earth Sciences
Whether Earth Science modeling is performed on a local, regional or global scale, for scientific or engineering purposes, uncertainty is inherently present due to lack of data and lack of understanding of the underlying phenomena. This course highlights the various issues, techniques and practical tools available for modeling uncertainty of complex Earth systems as well as the impact uncertainty has on practical decisions for geo-engineering problems. The course focuses on practical breadth rather than theoretical depth. Topics covered are: the process of building models, sources of uncertainty, probabilistic techniques, spatial data analysis and geostatistics, grid and scale, spatio-temporal uncertainty, visualizing uncertainty in large dimensions, Monte Carlo simulation, sensitivity analysis, reducing uncertainty with data, value of information. Applications to both local (reservoir, aquifer) and global (climate) are covered through literature study. Extensive software use with SGEMS.nnPrerequisites: algebra (
CME 104 or equivalent), introductory statistics course (
CME 106 or equivalent).
Terms: Win
| Units: 3
Instructors:
Scheidt, C. (PI)
;
Pollack, N. (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:DB-EngrAppSci
Filter Results: