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Enregistrement W2021705368 · doi:10.2523/iptc-11333-ms

Spatial Variation Of San Juan Basin Fruitland Coalbed Methane Pressure Dependent Permeability: Magnitude And Functional Form

2007· article· en· W2021705368 sur OpenAlexaff
Roger R. Gierhart, Christopher R. Clarkson, John P. Seidle

Notice bibliographique

RevueInternational Petroleum Technology Conference · 2007
Typearticle
Langueen
DomaineEngineering
ThématiqueHydrocarbon exploration and reservoir analysis
Établissements canadiensConocoPhillips (Canada)
Organismes subventionnairesnon disponible
Mots-clésInfillCoalbed methanePermeability (electromagnetism)Structural basinGeologyDrillingPetroleum engineeringOutcropHydrology (agriculture)CoalCoal miningMining engineeringGeotechnical engineeringGeomorphologyEngineering

Résumé

récupéré en direct d'OpenAlex

Abstract The San Juan basin Fruitland coalbed methane (CBM) resource is the most significant CBM play discovered in the world to date and comprises areas within both Colorado and New Mexico of the United States. It contains three distinctly different performance areas within the 6,800 mile2 (17,600 km2) enclosed by the Fruitland outcrop. Two of these areas are considered in this topic: "Fairway" and "Colorado Type II". Explaining well performance in these areas has required the examination of a mechanism whereby coal permeability increases over time. Field data and pressure transient analysis (PTA) for Fairway wells have revealed that coal permeability does increase over time and is an exponential function of reservoir pressure depletion. While evidence for pressure dependent permeability in CBM reservoirs has been presented in the literature before, this work seeks to compare the magnitude and functional form in two different reservoir units. In the high productivity Fairway, well data monitored and gathered by a Supervisory Control & Data Acquisition (SCADA) system, including data from two non-producing pressure observation wells, reveal a representative area of the Fairway to exhibit an exponential increase in permeability with respect to reservoir pressure depletion. Time-lapse PTA confirm this phenomenon exists in the lower productivity Type II area as well. Significantly, the Type II area is one of continued, active development via infill drilling. A regulatory requirement of this infill program is that operators measure reservoir pressure in the infill wells drilled after July, 2000 at a prescribed frequency. While the SCADA system also monitors wells in the Type II area, there are no suitable pressure observation wells there. Further, the permeability in the Type II region tends to be significantly lower than in the Fairway. As a consequence, an offset pressure monitor well would tend not to be representative of average reservoir pressure in the drainage area of a Type II producing well. This precludes the Fairway approach and requires a time-lapse PTA approach. While the rate of change of permeability with respect to reservoir pressure appears to be of exponential functional form in the Fairway, until recently it could be demonstrated only that the permeability increased with respect to reservoir pressure in the Type II area of the field. Insufficient testing precluded any claims as to the functional form. In the Type II area, second quarter 2007 pressure transient testing on each of ten wells drilled circa 2000–02 have provided a third data point of permeability vs. reservoir pressure. For these ten wells, one can begin to claim the rate of increase is exponential - as in the high capacity Fairway region of the basin. Over time, many other Type II infill wells will be tested to confirm more conclusively the functional form of permeability with respect to reservoir pressure. This will be of interest with respect to greater data density as well as with respect to obtaining data at ever lower reservoir pressures. Introduction Coalbed methane reservoirs are among the most complex reservoirs the industry manages. An important tool for understanding and predicting the performance of CBM reservoirs is numerical reservoir simulation. This requires the quantification of the change in permeability during the lives of the CBM wells. Other investigators1–9 (select references given only) have studied this phenomenon, often from a rock mechanics viewpoint. The time-lapse PTA presented in this discussion should serve as a check on these investigators' models and aid in their fine tuning. The data presented here show that permeability may increase by more than an order of magnitude over the lives of the wells which can impact dramatically their predicted performance. This work is limited to the coals of the San Juan basin.

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)0,000
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil0,071

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,011
Tête enseignante GPT0,228
Écart entre enseignants0,217 · 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'étudeObservationnel
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

Citations32
Publié2007
Routes d'admission1
Résumé présentoui

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