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Enregistrement W4236526866 · doi:10.2523/97898-ms

Heavy-Oil Uncertainties Facing Operators in the North Sea

2005· article· en· W4236526866 sur OpenAlexaboutno aff
K. L. Morton, Magdy Samir Osman, Stephen Kew

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnvironmental scienceMarine engineeringComputer sciencePetroleum engineeringGeologyEngineering

Résumé

récupéré en direct d'OpenAlex

Heavy Oil Uncertainties Facing Operators in the North Sea Kirsty Lorna Morton; Kirsty Lorna Morton Schlumberger Search for other works by this author on: This Site Google Scholar Magdy Samir Osman; Magdy Samir Osman Schlumberger Search for other works by this author on: This Site Google Scholar Stephen Anthony Kew Stephen Anthony Kew Xcite Energy Resources Ltd Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. Paper Number: SPE-97898-MS https://doi.org/10.2118/97898-MS Published: November 01 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Morton, Kirsty Lorna, Osman, Magdy Samir, and Stephen Anthony Kew. "Heavy Oil Uncertainties Facing Operators in the North Sea." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. doi: https://doi.org/10.2118/97898-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractRising oil price and demand has led to increased effort to develop reservoirs in the North Sea that were previously considered uneconomical by major operators. The recent DTI 'Promote' licensing initiative has encouraged smaller oil companies to apply for exploration/appraisal acreage on a limited financial commitment basis for two years before initiating a more traditional work program.Companies using this option to develop heavy oil reservoirs in the North Sea, many of which were discovered in the 70's, face a number of uncertainties traditionally associated with heavy oil. These include the determination of density and live oil viscosity at reservoir temperature where no clear correlation exists and the determination of reservoir properties from a limited range of historical data. In the offshore environment heavy oil developments are further complicated by the high front-end costs, limited reservoir size and uncertainty in geology and productivity. Only four of the heavy oil fields discoveries on the UK Continental Shelf (UKCS) have reached development and we review these fields to illustrate the challenges.Many of the reservoir and fluid uncertainties can be addressed with modern logging and analysis methods and recommendations for data gathering campaigns in these environments are provided. The technological challenges of an offshore heavy oil development can be met with advances in sand control, ESP technology and EOR techniques. Combined together these solutions provide more accurate production forecasts, which help the economics of developing the resource to be better understood.The proposed appraisal and development of a heavy oil field situated in Block 9/3b is used as a case study to highlight the challenges faced by operators in the development of heavy oil fields in the North Sea. Re-evaluation of historical data was used to develop a range of production forecasts that fully capture the potential and risk of the development.IntroductionHeavy oil (HO) is currently viewed as one of the most important sources of oil available to meet future demand in markets currently served by the North Sea. The UK DTI estimate that there is 9.2 billion barrels of heavy oil in place in the UKCS, equivalent to half the conventional oil in place in the region. Conventional UKCS oil production is expected to decline to approximately half the current production within the next seven years1 and heavy oil is seen as a vital resource to help fill in increasing gap in demand and production. Various initiatives, such as Promote licenses, have been put in place to encourage exploration of heavy oil plays.The Promote license initiative follows the following pattern. The initial term is divided into two year blocks; the first 'Promote period' is available at a 90% discount and the second two years requires a payment of the full fee. At this stage the prospect must be drilled or dropped. A second term is then available to the operator on traditional terms. By limiting the financial commitment in the first two years, operators are encouraged to investigate fields that traditionally fall short of large operator metrics.Many of the heavy oil fields on the UKCS were discovered in the 1970's. However, at that time, technology did not exist to meet the challenges to produce a sufficiently high oil rate over for sufficient time to make a development commercially attractive, particularly in a high cost, offshore environment.The aim of this paper is to highlight the particular challenges in the North Sea and, through a review of current developments, illustrate how these challenges are met. A case study of a Block 9/3b currently under appraisal illustrates how recent technology can be used to reduce the risk associated with this type of development. Keywords: heavy oil, appraisal, determination, seismic data, completion, xcite energy resource ltd, completion fluid, heavy oil field, spe, operator Subjects: Reservoir Characterization, Improved and Enhanced Recovery, Formation Evaluation & Management This content is only available via PDF. 2005. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium 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)0,005
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 enseignants0,063
Score d'incertitude au seuil0,126

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0000,002
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,018
Tête enseignante GPT0,260
Écart entre enseignants0,241 · 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

Citations0
Publié2005
Routes d'admission1
Résumé présentoui

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