Fully Integrated 3D-Reservoir Characterization and Flow Simulation Study: A Field Case Example
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Résumé
Fully Integrated 3D-Reservoir Characterization and Flow Simulation Study: A Field Case Example Maged Al-Deeb; Maged Al-Deeb ADCO Search for other works by this author on: This Site Google Scholar Gerard Bloch; Gerard Bloch ADCO Search for other works by this author on: This Site Google Scholar Salem El-Abd; Salem El-Abd ADCO Search for other works by this author on: This Site Google Scholar Mohsen Charfeddine; Mohsen Charfeddine ADCO Search for other works by this author on: This Site Google Scholar Asnul Bahar; Asnul Bahar Kelkar and Associates, Inc. Search for other works by this author on: This Site Google Scholar Harun Ates; Harun Ates Kelkar and Associates, Inc. Search for other works by this author on: This Site Google Scholar Tono Soeriawinata; Tono Soeriawinata Kelkar and Associates, Inc. Search for other works by this author on: This Site Google Scholar Mohan Kelkar Mohan Kelkar The Univ. of Tulsa Search for other works by this author on: This Site Google Scholar Paper presented at the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, United Arab Emirates, October 2002. Paper Number: SPE-78510-MS https://doi.org/10.2118/78510-MS Published: October 13 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Al-Deeb, Maged, Bloch, Gerard, El-Abd, Salem, Charfeddine, Mohsen, Bahar, Asnul, Ates, Harun, Soeriawinata, Tono, and Mohan Kelkar. "Fully Integrated 3D-Reservoir Characterization and Flow Simulation Study: A Field Case Example." Paper presented at the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, United Arab Emirates, October 2002. doi: https://doi.org/10.2118/78510-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)Abu Dhabi International Petroleum Exhibition and Conference Search Advanced Search AbstractThis paper presents the result of fully 3D integrated reservoir description and flow simulation study of a giant oil field in Middle East using the state of the art technology. The overall goal is to develop a representative reservoir model to form the basis for reservoir management and longterm development planning. This is done by generating alternate reservoir descriptions, based on stochastic models, to quantify uncertainties in the future performance. The data that were integrated include well cores and logs, geological interpretation (stratigraphy, rock type, depositional model), seismic (structure, curvature analysis and inversion-derived porosity), well test, SCAL, production data and fracture distribution.The 3D multiple realizations were generated by considering rock type and petrophysical properties at well location, obtained from well logs and cores, and simultaneously constrained by seismic derived porosity. The simulations of properties were generated using simultaneous sequential Gaussian simulation where the seismic constraint was introduced via Bayesian Updating procedure. Special consideration was given to the spatial modeling of data where soft information was derived both from hard data and depositional environment. Fracture distribution, derived from seismic curvature analysis, was used in the integration process to match the core-based derived permeability with well test permeability. This distribution was used to obtain permeability anisotropy distribution using newly developed tensorial approach.A total of forty-eight realizations were generated considering four major types of uncertainties: structure, spatial model, petrophysical properties and simulation path. The results have been used as the basis for fluid in place (STOIIP) calculation using Monte Carlo simulation technique. These realizations are then ranked based on the sweep efficiency, obtained from multiphase streamline simulations, and the STOIIP. Three realizations, representing medium, low and high realizations, were selected and upscaled. An optimum vertical upscaling level was determined using streamline simulator and developing quantitative criterion. This ensures that the representative heterogeneity of the reservoir was maintained during the upscaling process.Comprehensive history matching was done for the three selected realizations for the entire nineteen years of production history using objective criterion so that the quality of the three matches is similar. The observed data matched include water cuts and measured pressures. The parameters used to match the history are restricted to the parameters that have not been accounted for in the static model. Using probabilistic concepts, uncertainties in future performance were quantified for various scenarios.IntroductionReservoir model is a tool that can be used to obtain better reservoir management and long term development planning. A representative reservoir model can only be achieved by properly integrating various sources of data in a consistent manner. The state of the art of technology in building representative reservoir model is to use the technique(s) that can quantify all possible uncertainties of the future performance.This paper shows an application of various techniques in integrating various data sources for an oil field in the Middle East. The overall objective was to obtain a representative reservoir model, i.e., model that can be used to quantify uncertainties in the future performance. Keywords: permeability, flow simulation study, upstream oil & gas, information, reservoir simulation, rock type, realization, spe 78510, porosity, multiple realization Subjects: Reservoir Characterization, Reservoir Simulation This content is only available via PDF. 2002. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».