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Record W4249837115 · doi:10.2523/100584-ms

Evaluation of the Technical and Economic Feasibility of CO2 Sequestration and Enhanced Coalbed-Methane Recovery in Texas Low-Rank Coals

2006· article· en· W4249837115 on OpenAlex
Gonzalo Hernández, Rasheed Bello, Duane A. McVay, Walter B. Ayers, J. A. Rushing, Stephen Ruhl, Michael R. Hoffmann, Rahila Ramazanova

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of SPE Gas Technology Symposium · 2006
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCitationArt historyLibrary scienceArchaeologyArtComputer scienceHistory

Abstract

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Evaluation of the Technical and Economic Feasibility of CO2 Sequestration and Enhanced Coalbed Methane Recovery in Texas Low-Rank Coals Gonzalo Hernandez; Gonzalo Hernandez Search for other works by this author on: This Site Google Scholar Rasheed Olusehun Bello; Rasheed Olusehun Bello Search for other works by this author on: This Site Google Scholar Duane Allen McVay; Duane Allen McVay Texas A&M University Search for other works by this author on: This Site Google Scholar Walter Barton Ayers; Walter Barton Ayers Texas A&M University Search for other works by this author on: This Site Google Scholar Jay Alan Rushing; Jay Alan Rushing Anadarko Petroleum Corp. Search for other works by this author on: This Site Google Scholar Stephen K. Ruhl; Stephen K. Ruhl Anadarko Petroleum Corp. Search for other works by this author on: This Site Google Scholar Michael F. Hoffmann; Michael F. Hoffmann Anadarko Petroleum Corp. Search for other works by this author on: This Site Google Scholar Rahila I. Ramazanova Rahila I. Ramazanova Texas A&M University Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, May 2006. Paper Number: SPE-100584-MS https://doi.org/10.2118/100584-MS Published: May 15 2006 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Hernandez, Gonzalo, Bello, Rasheed Olusehun, McVay, Duane Allen, Ayers, Walter Barton, Rushing, Jay Alan, Ruhl, Stephen K., Hoffmann, Michael F., and Rahila I. Ramazanova. "Evaluation of the Technical and Economic Feasibility of CO2 Sequestration and Enhanced Coalbed Methane Recovery in Texas Low-Rank Coals." Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, May 2006. doi: https://doi.org/10.2118/100584-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Unconventional Resources Conference / Gas Technology Symposium Search Advanced Search AbstractCarbon dioxide (CO2) from energy consumption is a primary source of anthropogenic greenhouse gas. Injection of CO2 in coalbeds is a plausible method of reducing atmospheric emissions, and it can have the additional benefit of enhancing methane recovery from coal. Most previous studies have evaluated the merits of CO2 disposal in high-rank coals. The objective of this research is to determine the technical and economic feasibility of CO2 sequestration in, and enhanced coalbed methane (ECBM) recovery from, low-rank coals in the Texas Gulf Coast area. Our research included an extensive coal characterization program, deterministic and probabilistic simulation studies, and economic evaluations. We evaluated both CO2 and flue gas injection scenarios.In this study coal core samples and well transient test data were obtained for characterization of Texas low-rank coals. Simulation studies evaluated the effects of well spacing, injectant fluid composition, injection rate, and dewatering on CO2 sequestration and ECBM recovery.Probabilistic simulation of 100% CO2 injection in an 80-acre 5-spot pattern indicate that these coals can store 1.27 to 2.25 Bcf of CO2 with an ECBM recovery of 0.48 to 0.85 Bcf. Simulation results of 50% CO2 - 50% N2 injection in the same 80-acre 5-spot pattern indicate that these coals can store 0.86 to 1.52 Bcf of CO2, with an ECBM recovery of 0.62 to 1.10 Bcf. Simulation results of flue gas injection (87% N2 - 13% CO2) indicate that these same coals can store 0.34 to 0.59 Bcf of CO2 at depths of 6,200 ft, with an ECBM recovery of 0.68 to 1.20 Bcf.Economic modeling of CO2 sequestration and ECBM recovery for 100% CO2 injection indicates predominately negative economic indicators for the reservoir depths and well spacings investigated, using natural gas prices ranging from $2 to $12 per Mscf and CO2 credits based on carbon market prices ranging from $0.05 to $1.58 per Mscf CO2 ($1.00 to $30.00 per ton CO2). Injection of flue gas (87% N2 - 13% CO2) results in better economic performance than injection of 100% CO2.Moderate increases in either gas prices or carbon credits could generate attractive economic conditions that, combined with the close proximity of many CO2 point sources near unmineable coalbeds, could generate significant CO2 sequestration and ECBM potential in Texas low-rank coals.IntroductionGreenhouse gas emissions potentially constitute a major environmental problem. Texas emits approximately 255,651,224 tons[1] of CO2 annually, which is about 10% of the total emitted in the United States. These emissions are mostly from the industrial and electric power sector. Any method that reduces net CO2 emissions would help mitigate the global greenhouse effect. CO2 sequestration in coals is one method that could help achieve this objective. CO2 injected in coal beds may have the dual benefits of CO2 disposal and enhanced coalbed methane recovery. CO2 injection could improve methane recovery and help maintain reservoir pressure, thus reducing operational costs. Keywords: enhanced recovery, coal seam gas, isotherm, reservoir scenario, coalbed methane, Sequestration, low-rank coal, Modeling & Simulation, Upstream Oil & Gas, 5-spot pattern Subjects: Improved and Enhanced Recovery, Formation Evaluation & Management, Unconventional and Complex Reservoirs, Coal seam gas This content is only available via PDF. 2006. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.230
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it