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University of Houston

Reservoir Delineation Using Bandwidth Extension and Phase Decomposition

Abstract

dc:description.abstract

Sandstone reservoir units prevalent in an upper slope Niger Delta oil field are commonly below seismic temporal resolution. Although conventional seismic amplitude and amplitude-variation-with-offset are good indicators of oil-filled reservoir rock in this area, they do not necessarily show the vertical distribution of reservoir and may sometimes be suppressed for thin pay intervals. In some cases, multiple sub-tuning reservoir sands appear as one event on the original seismic data and derived attributes. Bandwidth extension using sparse-layer inversion better resolves thin layers than does the original seismic data and can detect multiple interfaces that are not otherwise seismically separated. As the hydrocarbon-filled reservoirs are low impedance relative to the surrounding shales, phase decomposition enhances amplitude anomalies and is found to have improved correlation between seismic amplitude and presence or absence of hydrocarbons. Combining bandwidth extension and phase decomposition improves determination of the internal architecture of pay intervals as sub-tuning vertical variations in impedance become more apparent as are lateral changes in thickness. Resulting amplitude maps are sharper and provide better delineation of the areal reservoir distribution of reservoir as evidenced by well ties.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Geophysics
Grantor
University of Houston
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Aikulola, Understanding Olaniyi 1977-
Advisor dc:contributor.advisor
  • Castagna, John P.
Committee members dc:contributor.committeemember
  • Chesnokov, Evgeni M.
  • Zheng, Yingcai
  • Oyem, Arnold

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10657/5541
OAI identifier oai:identifier
oai:uh-ir.tdl.org:10657/5541

Chain of custody

source
Harvested from
University of Houston
Base URL
uh-ir.tdl.org/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Aikulola, Understanding Olaniyi 1977-. Reservoir Delineation Using Bandwidth Extension and Phase Decomposition. Doctoral thesis, University of Houston, 2019. https://hdl.handle.net/10657/5541