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Enregistrement W4242517645 · doi:10.2172/895657

Creating a Geologic Play Book for Trenton-Black River Appalachian Basin Exploration

2005· report· en· W4242517645 sur OpenAlexaboutno aff
Douglas G. Patchen, T. K. Smith, Ron Riley, Mark T. Baranoski, David Harris, John Hickman, John Bocan, Michael Ed. Hohn

Notice bibliographique

Revuenon disponible
Typereport
Langueen
DomaineEngineering
ThématiqueHydrocarbon exploration and reservoir analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFaciesGeologyIsopach mapOutcropStructural basinOrdovicianPaleontologyPennsylvanianShoalArchitectureGeomorphologyArchaeology

Résumé

récupéré en direct d'OpenAlex

Preliminary isopach and facies maps, combined with a literature review, were used to develop a sequence of basin geometry, architecture and facies development during Cambrian and Ordovician time. The main architectural features--basins, sub basins and platforms--were identified and mapped as their positions shifted with time. This is significant because a better understanding of the control of basin geometry and architecture on the distribution of key facies and on subsequent reservoir development in Ordovician carbonates within the Trenton and Black River is essential for future exploration planning. Good exploration potential is thought to exist along the entire platform margin, where clean grainstones were deposited in skeletal shoals from Indiana thorough Ohio and Ontario into Pennsylvania. The best reservoir facies for the development of hydrothermal dolomites appears to be these clean carbonates. This conclusion is supported by observations taken in existing fields in Indiana, Ontario, Ohio and New York. In contrast, Trenton-Black River production in Kentucky and West Virginia has been from fractured, but non-dolomitized, limestone reservoirs. Facies maps indicate that these limestones were deposited under conditions that led to a higher argillaceous content than the cleaner limestones deposited in higher-energy environments along platform margins. However, even in the broad area of argillaceous limestones, clean limestone buildups have been observed in eastern outcrops and, if present and dolomitized in the subsurface, may provide additional exploration targets. Structure and isopach maps developed as part of the structural and seismic study supported the basin architecture and geometry conclusions, and from them some structural control on the location of architectural features may be inferred. This portion of the study eventually will lead to a determination of the timing relative to fracturing, dolomitization and hydrocarbon charging of reservoirs in the Trenton and Black River carbonates. The focus of this effort will shift in the next few months from regional to more detailed structural analyses. This new effort will include topics such as the determination of the source of the hot, dolomitizing fluids that created hydrothermal dolomite reservoirs in the Black River, and the probable migration paths of these fluids. Faults of suitable age, orientation and location to be relevant for hydrothermal dolomite creation in the Trenton-Black River play will be isolated and mapped, and potential fairways delineated. A detailed study of hydrothermal alteration of carbonate reservoirs was completed and is discussed at length in this report. New ideas that were developed from this research were combined with a literature review and existing concepts to develop a model for the development of hydrothermal dolomite reservoirs in the study area. Fault-related hydrothermal alteration is a key component of this model. Hydrothermal alteration produces a spectrum of features in reservoirs, ranging from leached limestone and microporosity to matrix dolomite, saddle dolomite-lined breccias, zebra fabrics and fractures. Mineralization probably occurred during the pressure drop associated with the rise of fluids up the fault system, and is due to the mixing of hydrothermal fluids with cooler, in situ fluids. Once they began to cool themselves, the hydrothermal fluids, which had a lower pH and higher salinity than formation fluids, were capable of leaching the host limestones. Microporosity is common in leached limestones, and it is likely that it was formed, in some cases, during hydrothermal alteration. Dolomite leaching occurs near the end of the paragenetic sequence, and may significantly enhance porosity. However, leaching of dolomite typically is followed by the precipitation of calcite or anhydrite, which reduces porosity. A final conclusion is that hydrothermal alteration may be more common than previously thought, and some features previously attributed to other processes may be in fact be hydrothermal in origin. Production data are being collected from all project partners. These data will be used to predict ultimate production from existing fields for which a complete production history is known, and for remaining reserves in fields for which the complete production history is unavailable. A plan to estimate the gas resource in the entire play area is being developed. Enhancement of the project database, GIS and website was emphasized during the report period. An effort is being made to add all logs - approximately 1800 - that have been scanned in Tiff format, and another 500 logs that have been converted to vector (LAS) format, to the database and website. Tables for production data, log data, core data and cross sections, all linked to the well header information, were created.

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: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,080
Score d'incertitude au seuil0,267

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0040,003
Études des sciences et des technologies0,0020,000
Communication savante0,0030,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0800,014

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 Opus0,035
Tête enseignante GPT0,271
Écart entre enseignants0,236 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations0
Publié2005
Routes d'admission1
Résumé présentoui

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