Carbon dioxide sequestration in coal seams: A parametric study and development of a practical prediction/screening tool usina neuro-simulation

Olufemi Odusote; Turgay Ertekin; Duane H. Smith; Grant Bromhal; W. Neal Sams; Sinisha Jikich

Carbon dioxide sequestration in coal seams: A parametric study and development of a practical prediction/screening tool usina neuro-simulation

Olufemi Odusote, Turgay Ertekin, Duane H. Smith, Grant Bromhal, W. Neal Sams, Sinisha Jikich

Research output: Contribution to conference › Paper › peer-review

Abstract

The use of PSU-COALCOMP, a compositional coalbed methane reservoir simulator to model the primary and enhanced recovery of coalbed methane by CO₂ injection for a variety of coal properties and operational scenarios, is discussed. The effects of various intrinsic coalseam properties and operational scenarios on the performance indicators of CO₂ sequestration were investigated to develop a better understanding of the process. A CO₂ performance predictor tool was developed by employing neurosimulation methods. This tool is able to predict the values of the performance indicators of the CO₂ sequestration process for a wide range of coal seams.

Original language	English (US)
Pages	1129-1149
Number of pages	21
State	Published - 2004
Event	2004 SPE Annual Technical Conference and Exhibition - Houston, TX, United States Duration: Sep 26 2004 → Sep 29 2004

Other

Other	2004 SPE Annual Technical Conference and Exhibition
Country/Territory	United States
City	Houston, TX
Period	9/26/04 → 9/29/04

All Science Journal Classification (ASJC) codes

Fuel Technology
Energy Engineering and Power Technology

Cite this

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title = "Carbon dioxide sequestration in coal seams: A parametric study and development of a practical prediction/screening tool usina neuro-simulation",

abstract = "The use of PSU-COALCOMP, a compositional coalbed methane reservoir simulator to model the primary and enhanced recovery of coalbed methane by CO2 injection for a variety of coal properties and operational scenarios, is discussed. The effects of various intrinsic coalseam properties and operational scenarios on the performance indicators of CO2 sequestration were investigated to develop a better understanding of the process. A CO2 performance predictor tool was developed by employing neurosimulation methods. This tool is able to predict the values of the performance indicators of the CO2 sequestration process for a wide range of coal seams.",

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year = "2004",

language = "English (US)",

pages = "1129--1149",

note = "2004 SPE Annual Technical Conference and Exhibition ; Conference date: 26-09-2004 Through 29-09-2004",

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Carbon dioxide sequestration in coal seams: A parametric study and development of a practical prediction/screening tool usina neuro-simulation. / Odusote, Olufemi; Ertekin, Turgay; Smith, Duane H. et al.
2004. 1129-1149 Paper presented at 2004 SPE Annual Technical Conference and Exhibition, Houston, TX, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Carbon dioxide sequestration in coal seams

T2 - 2004 SPE Annual Technical Conference and Exhibition

AU - Odusote, Olufemi

AU - Ertekin, Turgay

AU - Smith, Duane H.

AU - Bromhal, Grant

AU - Sams, W. Neal

AU - Jikich, Sinisha

PY - 2004

Y1 - 2004

N2 - The use of PSU-COALCOMP, a compositional coalbed methane reservoir simulator to model the primary and enhanced recovery of coalbed methane by CO2 injection for a variety of coal properties and operational scenarios, is discussed. The effects of various intrinsic coalseam properties and operational scenarios on the performance indicators of CO2 sequestration were investigated to develop a better understanding of the process. A CO2 performance predictor tool was developed by employing neurosimulation methods. This tool is able to predict the values of the performance indicators of the CO2 sequestration process for a wide range of coal seams.

AB - The use of PSU-COALCOMP, a compositional coalbed methane reservoir simulator to model the primary and enhanced recovery of coalbed methane by CO2 injection for a variety of coal properties and operational scenarios, is discussed. The effects of various intrinsic coalseam properties and operational scenarios on the performance indicators of CO2 sequestration were investigated to develop a better understanding of the process. A CO2 performance predictor tool was developed by employing neurosimulation methods. This tool is able to predict the values of the performance indicators of the CO2 sequestration process for a wide range of coal seams.

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M3 - Paper

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Y2 - 26 September 2004 through 29 September 2004

ER -

Carbon dioxide sequestration in coal seams: A parametric study and development of a practical prediction/screening tool usina neuro-simulation

Abstract

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All Science Journal Classification (ASJC) codes

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