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Enregistrement W4214522198 · doi:10.2523/93884-ms

Mature Field Development - A Review

2005· review· en· W4214522198 sur OpenAlexaffabout
Tayfun Babadagli

Notice bibliographique

Revuenon disponible
Typereview
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésCitationField (mathematics)Computer scienceLibrary scienceWorld Wide WebMathematics

Résumé

récupéré en direct d'OpenAlex

Mature Field Development - A Review Tayfun Babadagli Tayfun Babadagli U. of Alberta Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Europec/EAGE Annual Conference, Madrid, Spain, June 2005. Paper Number: SPE-93884-MS https://doi.org/10.2118/93884-MS Published: June 13 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Babadagli, Tayfun. "Mature Field Development - A Review." Paper presented at the SPE Europec/EAGE Annual Conference, Madrid, Spain, June 2005. doi: https://doi.org/10.2118/93884-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Europec featured at EAGE Conference and Exhibition Search Advanced Search AbstractDevelopment of mature oil fields has been, and will increasingly be, an attractive subject.Mature field development practices can be divided into two major groups:well engineering andreservoir engineering.This paper focuses on the reservoir engineering aspects.An extensive review of previously reported reservoir management practices for mature field development is provided.After the definition of mature field and an overview, different aspects of mature field development are outlined.The first issue covered is the estimation of remaining reserves focusing on the determination of the amount and location of the residual oil after primary and secondary recovery using field, log, and core data.After valuing the remaining oil, methods to recover it are classified.They include tertiary recovery, infill drilling, horizontals, optimal waterflooding design for mature fields, optimal well placement and other reservoir management practices.Suggested or implemented field application examples for big fields owned by majors and small fields owned by independents are presented.Special attention is given to tertiary oil recovery.An extensive review and critical analysis of tertiary recovery techniques covering the theoretical, practical, and economical aspects of it are provided.The emphasis is on their applicability in mature field development in terms of effectiveness (incremental recovery) and efficiency (cost and recovery time).Laboratory and field scale applications of different tertiary recovery techniques, i.e., gas (double displacement, WAG, and miscible-immiscible HC, CO[2], and N[2]), chemical (dilute surfactant, polymer, and micellar injection), and thermal (air and steam) injection, conducted to develop mature fields are included.Specific examples of big/giant fields, fields producing for decades, and mid to small size fields were selected.Differences in reservoir management strategies for majors, independents, and national oil companies are discussed.IntroductionThe world average of oil recovery factor is estimated 35%.Additional recovery over this "easy oil" depends on the availability of proper technologies, economic viability, and effective reservoir management strategies.On the other hand, chance of discovering giant fields remarkably decreases1. The discovery rate for the giant fields peaked in the late 60s and early 70s and declined remarkably in the last two decades. About thirty giant fields comprise half of the world oil reserves and most of them are categorized as mature field.The development of those fields entails new and economically viable techniques, and proper reservoir management strategies.Mature field development is a broad subject.It can, however, be divided into two main parts:Well development, andreservoir development.Depending on the field type, history, and prospects, the development plans could be done on either one or both.This paper covers reservoir engineering aspects of mature field development.Determination of the amount and location of the remaining oil is the key issue in this exercise.Techniques to improve the recovery factor such as tertiary recovery, infills, horizontals, and optimal placement of the new wells are the other elements of reservoir development.Definition and elements of mature field developmentOil fields after a certain production period are called mature field.A more specific definition of mature fields is the fields reached the peak of their production or producing fields in declining mode.A third definition could be the fields reached their economic limit after primary and secondary recovery efforts.Fig. 1 shows a typical production life of a field.Any points indicated by a question mark can be considered as the time when the maturity is reached.The tendency, however, is to define the decline period indicated by the arrow in Fig. 1, which is typically reached after having some secondary recovery efforts.Increasing water and gas production, decreasing pressure, and aging equipment are other indicators of maturity. Keywords: ooip, field development, application, oil saturation, saturation, conf, tertiary recovery, annual tech, babadagli, injection Subjects: Improved and Enhanced Recovery This content is only available via PDF. 2005. 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)0,002
score de la tête « metaresearch » (Gemma)0,006
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: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0060,006
Études des sciences et des technologies0,0000,001
Communication savante0,0020,003
Science ouverte0,0020,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,002

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 Opus0,055
Tête enseignante GPT0,364
Écart entre enseignants0,310 · 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
GenreSynthèse

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

En bref

Citations21
Publié2005
Routes d'admission2
Résumé présentoui

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