MétaCan
Menu
Retour à la cohorte
Enregistrement W4251895859 · doi:10.2523/65510-ms

Sand Production Prediction for Horizontal Wells in Gas Storage Reservoirs

2000· article· en· W4251895859 sur OpenAlexaboutno aff
P.J. McLellan, C.D. Hawkes, R.S. Read

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPetroleum engineeringProduction (economics)GeologyEnvironmental sciencePetrologyGeotechnical engineering

Résumé

récupéré en direct d'OpenAlex

Sand Production Prediction for Horizontal Wells in Gas Storage Reservoirs P.J. McLellan; P.J. McLellan Advanced Geotechnology Inc. Search for other works by this author on: This Site Google Scholar C.D. Hawkes; C.D. Hawkes Advanced Geotechnology Inc. Search for other works by this author on: This Site Google Scholar R.S. Read R.S. Read Advanced Geotechnology Inc. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. Paper Number: SPE-65510-MS https://doi.org/10.2118/65510-MS Published: November 06 2000 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation McLellan, P.J., Hawkes, C.D., and R.S. Read. "Sand Production Prediction for Horizontal Wells in Gas Storage Reservoirs." Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. doi: https://doi.org/10.2118/65510-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/CIM International Conference on Horizontal Well Technology Search Advanced Search AbstractSand production and the sand control technique selected to mitigate or eliminate it can have a critical influence on the performance of horizontal wells in gas storage reservoirs. A completion that provides adequate sand control is usually required, but an overly conservative completion design can have an unnecessary, negative consequence on gas well productivity and injectivity. The selection of the appropriate sand control design depends on the characteristics of the reservoir formation, the in-situ stress state, the maximum and minimum values of the reservoir pressure during gas storage operations, the drawdown pressure, the near-well fluid saturations, the well trajectory and the capacity for handling sand in the well tubulars and surface facilities.This paper reviews the principal causes of sand production from borehole and perforation collapse, and demonstrates the application of commercial software programs for assessing sand production risks. The influence of formation damage, compressible and non-Darcy gas flow effects, reservoir pressure changes and rock strength reduction due to cyclic loading will be illustrated. Additional risks, such as exceeding the fracture breakdown pressure in the reservoir during injection, or collapsing weak, interbedded shale strata that are locally penetrated by the horizontal well, are also described. Numerical geomechanical modelling techniques suitable for more complex material behaviour and fluid flow phenomena are also described, as well as a novel procedure for estimating initial produced sand volumes.Several field examples are presented, illustrating results for reservoirs ranging from relatively strong rocks, in which no sand control is required, to poorly cemented sandstones which require gravel-packed or screened completions.IntroductionSand Production Prediction.A number of methods for assessing sand production risks using geomechanical models have been described previously. An effective approach that has emerged from research in this area is the use of elastoplastic models, which can predict the extent of rock yielding around a borehole or a perforation. For example, Bratli and Risnes1 and Risnes et al.2 developed analytical solutions for rock yielding around perforations and boreholes, respectively, for steady-state, incompressible fluid flow into a wellbore in an elastic perfectly-plastic material. Wang and Dusseault3 and McLellan and Wang4 developed a model for assessing rock yielding around a borehole in an elastic-brittle-plastic material that undergoes instantaneous strain softening. This model was also based on steady-state, incompressible fluid flow conditions, but included the capability to model the effects of rock yielding on permeability. The latter effect has been shown to have a significant effect on near-well pressure gradients, and hence on rock yielding and sand production risks, for certain classes of problems. Weingarten and Perkins5 developed a rock yielding model for perforations in elastic-perfectly plastic materials, including the effects of steady-state, compressible fluid flow behaviour. Wang and Peden6 and Ong et al.7 developed models for assessing sand production risks for perforations based on shear yielding and tensile failure criteria, respectively, which also included the effects of non-Darcy flow on near-well pressure gradients. Detournay and Fairhurst8 and Bradford et al.9 developed rock yielding models for predicting non-circular yielded zones around boreholes or cylindrical perforations subjected to non-hydrostatic in-situ stresses. McLellan and Hawkes10 developed a method for implementing a rock yielding model for elastic-brittle-plastic materials subjected to non-hydrostatic in-situ stresses within the framework of a probabilistic simulation that accounts for uncertainty and spatial variability of key input parameters such as in-situ stress magnitudes and rock mechanical properties.Sand Production Prediction.A number of methods for assessing sand production risks using geomechanical models have been described previously. An effective approach that has emerged from research in this area is the use of elastoplastic models, which can predict the extent of rock yielding around a borehole or a perforation. For example, Bratli and Risnes1 and Risnes et al.2 developed analytical solutions for rock yielding around perforations and boreholes, respectively, for steady-state, incompressible fluid flow into a wellbore in an elastic perfectly-plastic material. Wang and Dusseault3 and McLellan and Wang4 developed a model for assessing rock yielding around a borehole in an elastic-brittle-plastic material that undergoes instantaneous strain softening. This model was also based on steady-state, incompressible fluid flow conditions, but included the capability to model the effects of rock yielding on permeability. The latter effect has been shown to have a significant effect on near-well pressure gradients, and hence on rock yielding and sand production risks, for certain classes of problems. Weingarten and Perkins5 developed a rock yielding model for perforations in elastic-perfectly plastic materials, including the effects of steady-state, compressible fluid flow behaviour. Wang and Peden6 and Ong et al.7 developed models for assessing sand production risks for perforations based on shear yielding and tensile failure criteria, respectively, which also included the effects of non-Darcy flow on near-well pressure gradients. Detournay and Fairhurst8 and Bradford et al.9 developed rock yielding models for predicting non-circular yielded zones around boreholes or cylindrical perforations subjected to non-hydrostatic in-situ stresses. McLellan and Hawkes10 developed a method for implementing a rock yielding model for elastic-brittle-plastic materials subjected to non-hydrostatic in-situ stresses within the framework of a probabilistic simulation that accounts for uncertainty and spatial variability of key input parameters such as in-situ stress magnitudes and rock mechanical properties. Keywords: horizontal well, sand production prediction, cohesion, reservoir characterization, production risk, peak cohesion, detachment, sand production risk, reservoir geomechanics, drawdown pressure Subjects: Reservoir Characterization, Reservoir geomechanics This content is only available via PDF. 2000. SPE/PS-CIM International Conference on Horizontal Well Technology 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 enseignants0,071
Score d'incertitude au seuil0,141

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,006
Tête enseignante GPT0,202
Écart entre enseignants0,195 · 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

Citations8
Publié2000
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetHydraulic Fracturing and Reservoir AnalysisTravaux en français237 207