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Enregistrement W4231201175 · doi:10.2523/73779-ms

Predicting Brine Mixing Deep Within the Reservoir, and the Impact on Scale Control in Marginal and Deepwater Developments

2002· article· en· W4231201175 sur OpenAlexaff
E.J. Mackay, M.M. Jordan, F. Torabi

Notice bibliographique

RevueProceedings of International Symposium and Exhibition on Formation Damage Control · 2002
Typearticle
Langueen
DomaineMaterials Science
ThématiqueCalcium Carbonate Crystallization and Inhibition
Établissements canadiensNalcor Energy (Canada)
Organismes subventionnairesHeriot-Watt University
Mots-clésBrinePetroleum engineeringGeologyScale (ratio)Mixing (physics)Environmental scienceGeography

Résumé

récupéré en direct d'OpenAlex

Predicting Brine Mixing Deep Within the Reservoir, and the Impact on Scale Control in Marginal and Deepwater Developments E.J. Mackay; E.J. Mackay Heriot-Watt University Search for other works by this author on: This Site Google Scholar M.M. Jordan; M.M. Jordan ONDEO Nalco Energy Services Search for other works by this author on: This Site Google Scholar F. Torabi F. Torabi Heriot-Watt University Search for other works by this author on: This Site Google Scholar Paper presented at the International Symposium and Exhibition on Formation Damage Control, Lafayette, Louisiana, February 2002. Paper Number: SPE-73779-MS https://doi.org/10.2118/73779-MS Published: February 20 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Mackay, E.J., Jordan, M.M., and F. Torabi. "Predicting Brine Mixing Deep Within the Reservoir, and the Impact on Scale Control in Marginal and Deepwater Developments." Paper presented at the International Symposium and Exhibition on Formation Damage Control, Lafayette, Louisiana, February 2002. doi: https://doi.org/10.2118/73779-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 International Conference and Exhibition on Formation Damage Control Search Advanced Search AbstractSulphate scale deposition is a common problem in hydrocarbon reservoirs where injection seawater, rich in sulphate, mixes with formation brines, rich in barium, strontium and calcium. The deposition of these scales can cause significant production impairment if it occurs within zones near the production wellbores. To control scale deposition within the near wellbore region of a reservoir, scale squeeze treatments are commonly deployed. In cases where the scale severity is very high, removal of sulphate ions from the injection water is an alternative scale control strategy. Both these methods of mitigation have associated CAPEX (e.g. desulphation plant) and OPEX (e.g. scale squeeze treatments) costs.Typically, to assess the severity of the problem in new fields, thermodynamic calculations are performed to calculate the mass of scale that will form. Until present there has been little work carried out to identify the location of scale formation within the reservoir. In this paper, field data and flow simulations from three North Sea fields are presented to show that the formation of scale can in fact occur deep within the reservoir, and have negligible negative impact on oil production within the near wellbore region.Evidence is presented from these North Sea fields that shows the evolution of the brine chemistry as seawater breakthrough occurs and squeeze treatments were applied. The evidence from the produced brine chemistry is linked to flow calculations for these fields to show that in some systems scale is depositing deep within the reservoir, reducing the potential for damage in the near production wellbore region. The extent and impact of the deposition varies throughout the reservoir and can be quantified. The ability to model brine mixing and stripping of the scaling ions before the fluids reach the production wellbore has a very significant impact on the economic assessment of marginal fields and deepwater developments. In such fields, the technical challenge and cost (CAPEX/OPEX) of scale control might make development un-economic. This paper outlines the data requirements and methodology used to allow such an assessment to be made.IntroductionFlow assurance is an essential aspect of the economic production of hydrocarbons. It can be considered as the ability to produce petroleum fluids economically from the reservoir to a production facility over the lifetime of a field. Scale control is one of the key aspects of flow assurance. The increasing number of subsea wells and deepwater developments raises particular issues and evolving challenges for flow assurance, beyond those seen for simple vertical wells. The complexity of new well completions, in terms of horizontal and multi-lateral wells, subsea tiebacks, and commingled flow, presents particular challenges. Where scale inhibitor treatments are required for such complex wells, they are often associated with very high intervention costs.Scale control issues need to be addressed as part of asset life cycle management, whereby the issues are tackled prior to field development/production (CAPEX phase), rather than being confronted in a reactive manner once water breakthrough occurs (OPEX phase). Such an approach allows for selection of appropriate economic technology. Indeed, the anticipated problems may influence the plans to develop a field, for example, in terms of water injection strategies or implementing appropriate technology upon well completion. Keywords: hydrate inhibition, hydrate remediation, paraffin remediation, symposium, mackay, upstream oil & gas, scale control, injection, remediation of hydrates, ppm Subjects: Production Chemistry, Metallurgy and Biology, Improved and Enhanced Recovery, Inhibition and remediation of hydrates, scale, paraffin / wax and asphaltene This content is only available via PDF. 2002. 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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,868
Score d'incertitude au seuil0,385

Scores Codex et Gemma par catégorie

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

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 Opus0,008
Tête enseignante GPT0,217
Écart entre enseignants0,209 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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

Citations28
Publié2002
Routes d'admission1
Résumé présentoui

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Même revueProceedings of International Symposium and Exhibition on Formation Damage ControlMême sujetCalcium Carbonate Crystallization and InhibitionTravaux en français237 207