Use of connection constraints for checking and enhancing geological models
Notice bibliographique
Résumé
Research Article| December 01, 2015 Use of connection constraints for checking and enhancing geological models Jean-Marc Chautru; Jean-Marc Chautru Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Search for other works by this author on: GSW Google Scholar Renaud Meunier; Renaud Meunier Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Search for other works by this author on: GSW Google Scholar Hélène Binet; Hélène Binet Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Search for other works by this author on: GSW Google Scholar Matthieu Bourges Matthieu Bourges Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Search for other works by this author on: GSW Google Scholar Author and Article Information Jean-Marc Chautru Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Renaud Meunier Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Hélène Binet Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Matthieu Bourges Geovariances, 49bis avenue Franklin Roosevelt, 77215 Avon, CEDEX, France Publisher: Canadian Energy Geoscience Association Received: 27 Nov 2014 Accepted: 25 May 2015 First Online: 13 Jul 2017 Online ISSN: 2368-0261 Print ISSN: 0007-4802 © the Society of Canadian Petroleum Geologists Bulletin of Canadian Petroleum Geology (2015) 63 (4): 358–373. https://doi.org/10.2113/gscpgbull.63.4.358 Article history Received: 27 Nov 2014 Accepted: 25 May 2015 First Online: 13 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Jean-Marc Chautru, Renaud Meunier, Hélène Binet, Matthieu Bourges; Use of connection constraints for checking and enhancing geological models. Bulletin of Canadian Petroleum Geology 2015;; 63 (4): 358–373. doi: https://doi.org/10.2113/gscpgbull.63.4.358 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of Canadian Petroleum Geology Search Advanced Search Abstract To ensure consistency between geological models and dynamic models, it is necessary to constrain geological models to information coming from dynamic synthesis about permeable pathways between some points in the reservoir. The paper presents a methodology which can be fully implemented using commercial software. It is based on the analysis of connected components calculated on geostatistical simulations in a post-processing phase. The analysis of physical connections in a single lithostratigraphic unit is studied. The use of connected components to QC facies or petrophysical properties simulations is detailed and the impact of simulation parameters (facies proportion, variogram range, etc...) on the presence of permeable pathways in the static model is studied. The generalization to structural geological models is described. In this case, successive lithostratigraphic units can be potentially connected through faults when the fault throw is large enough. A two-steps workflow for conditioning simulations to information about connections between points in difficult cases is presented. The first step is the identification of the realizations matching the connection criteria. The second step consists in choosing additional conditioning data for further simulations ensuring that the wells connection constraints are honored, the model’s statistical properties being preserved. The efficiency of this workflow is discussed. A method for integrating faults and fractures patterns in calculations in complex cases is proposed. Once the stochastic realizations of a geostatistical model honor observed connections between selected points, it is interesting to characterize the connection for improving model QC. Some possible ways of using connected components in advanced models QC are suggested. In the end, some ideas for accounting for connection characteristics in geostatistical simulations are proposed. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 ».