A Case Study: Using Modern Reservoir Characterization to Optimize Future Development of a Mature Asset
Notice bibliographique
Résumé
A Case Study: Using Modern Reservoir Characterization to Optimize Future Development of a Mature Asset John D. Campanella; John D. Campanella iReservoir.com Inc. Search for other works by this author on: This Site Google Scholar Mark D. Sonnenfeld; Mark D. Sonnenfeld iReservoir.com Inc. Search for other works by this author on: This Site Google Scholar Laura C. Zahm; Laura C. Zahm iReservoir.com Inc. Search for other works by this author on: This Site Google Scholar James R. Gilman; James R. Gilman iReservoir.com Inc. Search for other works by this author on: This Site Google Scholar Lara Conrad; Lara Conrad EnCana Corp. Search for other works by this author on: This Site Google Scholar Craig Siemens; Craig Siemens EnCana Corp. Search for other works by this author on: This Site Google Scholar Brian A. Zaitlin Brian A. Zaitlin EnCana Corp. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, September 2002. Paper Number: SPE-77671-MS https://doi.org/10.2118/77671-MS Published: September 29 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Campanella, John D., Sonnenfeld, Mark D., Zahm, Laura C., Gilman, James R., Conrad, Lara, Siemens, Craig, and Brian A. Zaitlin. "A Case Study: Using Modern Reservoir Characterization to Optimize Future Development of a Mature Asset." Paper presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, September 2002. doi: https://doi.org/10.2118/77671-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 Annual Technical Conference and Exhibition Search Advanced Search Abstract Enhancements in software, hardware, expertise, data collection and interpretation have continued to improve the industry's ability to build detailed 3D geologic and dynamic flow models of the subsurface. These models in turn have improved our ability to make optimum reservoir engineering decisions for reservoir development. While such characterization has proved its worth for large assets over and over again, there continues to be much skepticism about the ability to use this process for mature or marginal assets.This paper describes a field example showing how a truly integrated approach can shorten the time frame and reduce the cost of the characterization process. This ensures that all the available data is being used in an efficient manner to optimize future recovery.Application of modern 3D reservoir characterization on mature fields is very problematic because of data quality issues, such as poor log quality, missing production data or lost cores. However, this lower quality data often provides bounds that are important in understanding the field performance and therefore should not be discarded. These data quality issues are addressed in this paper.Additionally this paper shows how a truly integrated approach shortens the time frame for development of detailed 3D geologic and dynamic models. For example early conceptual flow modeling and engineering analysis provides valuable input for constraining the static geologic model.Modern software tools and analysis techniques are greatly improving the ability to combine many scales of data. This provides a better understanding of the reservoirs and improved decision-making. The value of these tools is often a direct result of efficient analysis and visualization of the data and interpretations. These powerful capabilities should not be limited to large assets, as they can be cost effectively applied to mature properties also. Keywords: geological modeling, reservoir characterization, optimize future development, recovery, modification, permeability baffle, workflow, geomodel, reagan field, upstream oil & gas Subjects: Reservoir Characterization, Reservoir Simulation, Geologic modeling Copyright 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 | 0,000 |
| 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 ».