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University of New Orleans

Time-Lapse Depletion Modeling Sensitivity Study: Gas-Filled Gulf of Mexico Reservoir

Abstract

dc:description.abstract

Time-lapse seismic allows oil/gas reservoir monitoring during production, highlighting compaction and water movement. Time-lapse modeling, using a stress-dependent rock physics model, helps determine the need and frequency of expensive repeat seismic acquisition. We simulate a Gulf of Mexico gas reservoir time-lapse response for depletion and water flooding using uncertainty ranges in water saturation, porosity, stress-induced velocity changes, and pore compressibility. An analysis is conducted to see if a water-swept region could have been predicted. Findings show the swept and un-swept monitor cases amplitude differences range from 6% to 15%, which is higher than the actual monitor seismic noise level. Thus, it is unlikely these cases could be differentiated. However, the modeled amplitude changes from base to monitor cases do not match measured amplitude changes. This suggests the rock property model requires pressure-variance improvement and/or the changes in seismic amplitudes are associated with pressure/porosity, thickness, or saturation cases not modeled.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Physics
Year
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gautre, Christy
Contributors dc:contributor
  • Ioup, Juliette; Ioup, George
  • Mannion, Mark

Subjects

dc:subject × 10

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/1187
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-2170

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Gautre, Christy. Time-Lapse Depletion Modeling Sensitivity Study: Gas-Filled Gulf of Mexico Reservoir. Thesis thesis, 2010. https://scholarworks.uno.edu/td/1187