MétaCan
Menu
Retour à la cohorte
Enregistrement W4231539233 · doi:10.2523/69848-ms

Application of Advanced Heavy-Oil-Production Technologies in the Orinoco Heavy-Oil-Belt, Venezuela

2001· article· en· W4231539233 sur OpenAlexaff
Robles Jorge

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueOil and Gas Production Techniques
Établissements canadiensPetro-Canada
Organismes subventionnairesnon disponible
Mots-clésCitationEmerging technologiesPetroleumOil productionComputer scienceLibrary scienceEnvironmental sciencePetroleum engineeringEngineeringGeologyArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

Application of Advanced Heavy-Oil-Production Technologies in the Orinoco Heavy-Oil-Belt, Venezuela Jorge Robles Jorge Robles Petrozuata, C.A. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Porlamar, Margarita Island, Venezuela, March 2001. Paper Number: SPE-69848-MS https://doi.org/10.2118/69848-MS Published: March 12 2001 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Robles, Jorge. "Application of Advanced Heavy-Oil-Production Technologies in the Orinoco Heavy-Oil-Belt, Venezuela." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Porlamar, Margarita Island, Venezuela, March 2001. doi: https://doi.org/10.2118/69848-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 AbstractThe successful application of state of the art drilling technologies such as horizontal and multilateral wells for the development of Zuata field in the Orinoco Belt demands improvements in the areas of artificial lift, fluid gathering and fluid treatment. The economic production of wells with initial potentials beyond 3,000 nbpd challenges both equipment and process.This paper summarizes the latest experiences of Petrozuata C.A. in the Zuata field in the use of electric submersible pumps, and progressive cavity pumps, as well as the application of state of the art instrumentation for monitoring of production parameters.IntroductionPetrozuata C.A. is a strategic association between Conoco Inc. (50.1 %) and Petróleos de Venezuela S.A. (PDVSA, 49.9%). Its main objective is to integrate downstream, upstream, pipeline and marine operations in order to process 120,000 bpd of extra heavy crude to produce about 102,000 bpd of synthetic crude for 35 years. The strategy chosen for this development is cold production through multilateral horizontal wells drilled from clusters, combined with the use of diluent for lift and transport purposes. Petrozuata initially used Mesa-30 oil as diluent. This will be changed to Naphtha when the upgrader starts to operate. In the current scheme the Mesa-30 blend is exported. Once the upgrader operations begin, a distillation tower will recover the Naphtha, which will be sent back to Zuata field through a pipeline. Figure 1 shows field location and pad distribution, including existing and future installations.Petrozuata has approximately 110 producing wells with a total production of 100,000 barrels of extra heavy crude oil per day. Figure 2 illustrates the field production over time. Petrozuata expects to reach 120,000 bpd of extra heavy oil at the end of year 2000. The diluent change over (from Mesa 30 to Naphtha) is planned for the 4th quarter 2000.Reservoir CharacteristicsThe Oficina Formation was deposited during the Miocene, when sedimentation took place from south to north over the southern flank of the Eastern Venezuela Basin, near the Guayana Shield. Zuata is one of the three major prograding/aggrading depositional pulses identified within the Orinoco Belt. This channel depositional system created a complex reservoir architecture, as younger fluvial systems down-cut, erode and re-distribute sediments from earlier-deposited fluvial systems. Table 1 summarizes Reservoir characteristics.Well DescriptionDue to the complexity of the reservoir and as a result of a continuous effort to improve the efficiency to contact the oil in place, well geometry varies from single horizontal wells to very complicated multi-lateral arrangements, including dual gull wings, stacked dual and triple laterals, and combinations of all these with the addition of fishbones, as illustrated in Figure 3.The production-casing diameter is 9 5/8", with tangent sections at 75° to 87° from vertical. Typically the pump tangent section is placed above the upper lateral window.As shown in the previous figures, the final completion typically uses 7 inch slotted liner in the horizontal section.Well Potential Assessment and Lift Selection StrategyPetrozuata uses a correlation derived from core data and based on resistivity logs to estimate permeability of the different zones. Based on the flow capacity (permeability x length) and other geometrical restrictions the lifting method is selected and the system is sized. (See Figure 4)Petrozuata initially targets drawing down wells to 250 psi of Pump Intake Pressure (PIP). In some multilateral wells the initial productivity is so high that even at 3,000 bpd the PIP remains high for several months. Keywords: petrozuata, orinoco heavy oil belt, drilling operation, pip, venezuela jorge roble petrozuata, pump intake pressure, spe 69848, upstream oil & gas, application, completion Subjects: Drilling Operations, Artificial Lift Systems, Directional drilling This content is only available via PDF. 2001. 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)0,000
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: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,972
Score d'incertitude au seuil0,426

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
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 Opus0,009
Tête enseignante GPT0,239
Écart entre enseignants0,229 · 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'étudeAutre devis
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

Citations3
Publié2001
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetOil and Gas Production TechniquesTravaux en français237 207