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Enregistrement W4214679894 · doi:10.2523/64747-ms

Sand Production Simulation in Heavy Oil Reservoirs

2000· article· en· W4214679894 sur OpenAlexaff
Zhang Liangwen, Maurice B. Dusseault

Notice bibliographique

RevueProceedings of International Oil and Gas Conference and Exhibition in China · 2000
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesnon disponible
Mots-clésExhibitionChinaCitationBeijingZhàngProduction (economics)Discrete element methodComputer scienceLibrary scienceOperations researchEngineeringMining engineeringArchaeologyGeographyPhysics

Résumé

récupéré en direct d'OpenAlex

Sand Production Simulation in Heavy Oil Reservoirs Liangwen Zhang; Liangwen Zhang University of Waterloo Search for other works by this author on: This Site Google Scholar Maurice B. Dusseault Maurice B. Dusseault University of Waterloo Search for other works by this author on: This Site Google Scholar Paper presented at the International Oil and Gas Conference and Exhibition in China, Beijing, China, November 2000. Paper Number: SPE-64747-MS https://doi.org/10.2118/64747-MS Published: November 07 2000 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Zhang, Liangwen, and Maurice B. Dusseault. "Sand Production Simulation in Heavy Oil Reservoirs." Paper presented at the International Oil and Gas Conference and Exhibition in China, Beijing, China, November 2000. doi: https://doi.org/10.2118/64747-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 International Oil and Gas Conference and Exhibition in China Search Advanced Search AbstractA new sand production model is developed based on inter-particle contact force variations at the discrete micromechanical level. Two mechanisms for sand production can be expected in the field, dynamic detachment and equilibrium yield. The model discussed in the paper describes the sand production mechanism in the dynamic detachment process. Within the new model formulation, sand is considered to be produced because of either a large porosity gradient or a large pressure gradient. The 1-D steady-state solution of the new model is also presented; it may be used for simple sensitivity analysis for parameters such as the field stress and pressure depletion effect.IntroductionProduction of sand during oil production is simultaneously a major concern1 and benefit2,3 for both conventional and heavy oil production operations. It is now well known that sand influx enhances production, yet it can cause problems such as increasing difficulty in well work-overs, well clean-up, and additional costs for waste sand disposal. A sudden influx of a large amount of sand toward the well can even destroy progressing cavity pumps or plug tubing.Sand production problems can be experienced in various ways. Transient sand production, where the sand production rate rapidly declines with time, is frequently experienced during the clean-up period after processes such as perforating or acidizing, after rapid bean-up of production, or after water breakthrough due to removal of weakened or produced sand.Sand production has been classified on the basis of distinct reservoir evolution stages:4,5,6,7Early transient sand production period when little perforation-induced damage has been removed and the cavities have a zone of reduced permeability around them;Stable production period with enlarged cavities, when the damaged zone has been removed;After water cut increase, considered to be capillary force and flow rate-induced sand production; andUnstable sand production period due to reservoir pressure depletion, considered to be effective stress change induced sanding.In the latter, strain reduces the strength of the sand through cohesion destruction, and it may also be subjected to a lower effective confining stress near the wellbore because of stress redistribution.In the transient sand production period, failed sand removal from cavities is a process limited by the volume of the damaged rock. In such situations, leftover failed sand may also act as a support to the intact sand skeleton in the vicinity of the cavity. However, if this sand is removed for some reason, the stable cavity structure may be destabilized; this can lead to a single sand burst and restabilization, to episodic sand bursts, or even to continous sand production.There are many factors affecting sand production rate, they may be classified as the driving factors, the resisting factors and the well completion factors. Driving factors are those acting to increase sand detachment potential from the solid reservoir skeleton. They include stress magnitude and stress deviator (s1-s3), pressure gradient (or flow rate or velocity) and capillary forces associated multiphase flow and wetness.Resisting factors include those that act against sand detachment, such as material strength, inter-particle friction (function of effective stress), structural (geometrical) arching and opposing pressure gradients, should they locally arise.The well completion factors affect sand production by modifying fabric, production rate, stress equilibrium, and production history. They include perforation size, intervals, spacings, depth of penetration, size of damaged zone, and perforation orientation. Furthermore, production practices such as well shut-in and bean-up methods are relevant, as they impose sudden gradients and cross-flow among perforation groups. Keywords: upstream oil & gas, sand production, bitumen, rev, drillstem/well testing, mechanism, drillstem testing, equilibrium, porosity gradient, particle Subjects: Reservoir Characterization, Formation Evaluation & Management, Unconventional and Complex Reservoirs, Perforating, Drillstem/well testing, Oil sand, oil shale, bitumen, Completion Installation and Operations, Completion Operations This content is only available via PDF. 2000. 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)0,000
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: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,048
Score d'incertitude au seuil0,096

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,010
Tête enseignante GPT0,231
Écart entre enseignants0,222 · 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

Citations1
Publié2000
Routes d'admission1
Résumé présentoui

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Même revueProceedings of International Oil and Gas Conference and Exhibition in ChinaMême sujetHydraulic Fracturing and Reservoir AnalysisTravaux en français237 207