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Enregistrement 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 sur OpenAlexaboutno aff
Gonzalo Hernández, Rasheed Bello, Duane A. McVay, Walter B. Ayers, J. A. Rushing, Stephen Ruhl, Michael R. Hoffmann, Rahila Ramazanova

Notice bibliographique

RevueProceedings of SPE Gas Technology Symposium · 2006
Typearticle
Langueen
DomaineEngineering
ThématiqueCarbon Dioxide Capture Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCitationArt historyLibrary scienceArchaeologyArtComputer scienceHistory

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,230
Écart entre enseignants0,221 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2006
Routes d'admission1
Résumé présentoui

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