printer friendly pageGEOPHYS 241A: Seismic Reservoir Characterization (ENERGY 141, ENERGY 241)
(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.Recommended: ERE240/260, or GP222/223, or GP260/262 or
GES253/257; ERE246, GP112
Last offered: Spring 2022
GEOPHYS 260G: Imaging with Incomplete Information (CEE 260G, CME 262)
Statistical and computational methods for inferring images from incomplete data. Bayesian inference methods are used to combine data and quantify uncertainty in the estimate. Fast linear algebra tools are used to solve problems with many pixels and many observations. Applications from several fields but mainly in earth sciences. Prerequisites: Linear algebra and probability theory.
Terms: Spr
| Units: 3-4
Instructors:
Kitanidis, P. (PI)
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