Spectral decomposition and reservoir engineering data in mapping thin bed reservoir, stratton field, South Texas

Mohammed Farfour, Wang Jung Yoon, Youngeun Jo, Kim Young Wan

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Spectral decomposition is an innovative seismic attribute that showed excellent results particularly in tertiary basins such as the Gulf of Mexico and West Africa on which the technique was first implemented. Therefore many interpreters worried that it would not work well in other environments. We conducted a spectral decomposition study at Stratton Field, in South Texas. We focus on Middle Frio fluvial F-39 reservoir, a gas producing reservoir in the Stratton field. The main purposes of this study are: First, to test spectral decomposition ability to infer information documented in previous work about this thin and deep reservoir. Second, to reveal more stratigraphic features that might not be revealed previously. Due to the complexity of the reservoir, well data calibration and correlation played a key role to locate the reservoir interval. Interestingly, spectral decomposition could successfully image reservoir and its compartments and provide information that correlate very well with production history and reservoir's pressures data. Moreover, it enabled us to map the reservoir compartments' boundaries and a meandering channel reservoir that was unseen in seismic broadband. Indeed, the study shows that spectral decomposition can work very well even in very complex and extremely thin reservoirs. Furthermore, it shows how geophysics, geology, and reservoir engineering technologies when best integrated can address very complex formations and reveal much reliable information.

Original languageEnglish
Pages (from-to)77-91
Number of pages15
JournalJournal of Seismic Exploration
Volume22
Issue number1
Publication statusPublished - Feb 2013

Fingerprint

beds
engineering
decomposition
Decomposition
Geophysics
Engineering technology
Geology
compartments
Gases
Calibration
stratigraphic feature
Gulf of Mexico
geophysics
geology
histories
broadband
calibration
intervals
history
gases

Keywords

  • Broadband
  • Channel
  • Compartments
  • Spectral decomposition
  • Stratigraphy

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

Cite this

Spectral decomposition and reservoir engineering data in mapping thin bed reservoir, stratton field, South Texas. / Farfour, Mohammed; Yoon, Wang Jung; Jo, Youngeun; Wan, Kim Young.

In: Journal of Seismic Exploration, Vol. 22, No. 1, 02.2013, p. 77-91.

Research output: Contribution to journalArticle

@article{7f8f51a2c2054204a6e26cb6c7efd5e0,
title = "Spectral decomposition and reservoir engineering data in mapping thin bed reservoir, stratton field, South Texas",
abstract = "Spectral decomposition is an innovative seismic attribute that showed excellent results particularly in tertiary basins such as the Gulf of Mexico and West Africa on which the technique was first implemented. Therefore many interpreters worried that it would not work well in other environments. We conducted a spectral decomposition study at Stratton Field, in South Texas. We focus on Middle Frio fluvial F-39 reservoir, a gas producing reservoir in the Stratton field. The main purposes of this study are: First, to test spectral decomposition ability to infer information documented in previous work about this thin and deep reservoir. Second, to reveal more stratigraphic features that might not be revealed previously. Due to the complexity of the reservoir, well data calibration and correlation played a key role to locate the reservoir interval. Interestingly, spectral decomposition could successfully image reservoir and its compartments and provide information that correlate very well with production history and reservoir's pressures data. Moreover, it enabled us to map the reservoir compartments' boundaries and a meandering channel reservoir that was unseen in seismic broadband. Indeed, the study shows that spectral decomposition can work very well even in very complex and extremely thin reservoirs. Furthermore, it shows how geophysics, geology, and reservoir engineering technologies when best integrated can address very complex formations and reveal much reliable information.",
keywords = "Broadband, Channel, Compartments, Spectral decomposition, Stratigraphy",
author = "Mohammed Farfour and Yoon, {Wang Jung} and Youngeun Jo and Wan, {Kim Young}",
year = "2013",
month = "2",
language = "English",
volume = "22",
pages = "77--91",
journal = "Journal of Seismic Exploration",
issn = "0963-0651",
publisher = "Geophysical Press LTD.",
number = "1",

}

TY - JOUR

T1 - Spectral decomposition and reservoir engineering data in mapping thin bed reservoir, stratton field, South Texas

AU - Farfour, Mohammed

AU - Yoon, Wang Jung

AU - Jo, Youngeun

AU - Wan, Kim Young

PY - 2013/2

Y1 - 2013/2

N2 - Spectral decomposition is an innovative seismic attribute that showed excellent results particularly in tertiary basins such as the Gulf of Mexico and West Africa on which the technique was first implemented. Therefore many interpreters worried that it would not work well in other environments. We conducted a spectral decomposition study at Stratton Field, in South Texas. We focus on Middle Frio fluvial F-39 reservoir, a gas producing reservoir in the Stratton field. The main purposes of this study are: First, to test spectral decomposition ability to infer information documented in previous work about this thin and deep reservoir. Second, to reveal more stratigraphic features that might not be revealed previously. Due to the complexity of the reservoir, well data calibration and correlation played a key role to locate the reservoir interval. Interestingly, spectral decomposition could successfully image reservoir and its compartments and provide information that correlate very well with production history and reservoir's pressures data. Moreover, it enabled us to map the reservoir compartments' boundaries and a meandering channel reservoir that was unseen in seismic broadband. Indeed, the study shows that spectral decomposition can work very well even in very complex and extremely thin reservoirs. Furthermore, it shows how geophysics, geology, and reservoir engineering technologies when best integrated can address very complex formations and reveal much reliable information.

AB - Spectral decomposition is an innovative seismic attribute that showed excellent results particularly in tertiary basins such as the Gulf of Mexico and West Africa on which the technique was first implemented. Therefore many interpreters worried that it would not work well in other environments. We conducted a spectral decomposition study at Stratton Field, in South Texas. We focus on Middle Frio fluvial F-39 reservoir, a gas producing reservoir in the Stratton field. The main purposes of this study are: First, to test spectral decomposition ability to infer information documented in previous work about this thin and deep reservoir. Second, to reveal more stratigraphic features that might not be revealed previously. Due to the complexity of the reservoir, well data calibration and correlation played a key role to locate the reservoir interval. Interestingly, spectral decomposition could successfully image reservoir and its compartments and provide information that correlate very well with production history and reservoir's pressures data. Moreover, it enabled us to map the reservoir compartments' boundaries and a meandering channel reservoir that was unseen in seismic broadband. Indeed, the study shows that spectral decomposition can work very well even in very complex and extremely thin reservoirs. Furthermore, it shows how geophysics, geology, and reservoir engineering technologies when best integrated can address very complex formations and reveal much reliable information.

KW - Broadband

KW - Channel

KW - Compartments

KW - Spectral decomposition

KW - Stratigraphy

UR - http://www.scopus.com/inward/record.url?scp=84874788683&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874788683&partnerID=8YFLogxK

M3 - Article

VL - 22

SP - 77

EP - 91

JO - Journal of Seismic Exploration

JF - Journal of Seismic Exploration

SN - 0963-0651

IS - 1

ER -