A Volcanic Reservoir: Facies Distribution Model Accounting for Pressure Communication
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Résumé
A Volcanic Reservoir: Facies Distribution Model Accounting for Pressure Communication Tomomi Yamada; Tomomi Yamada Japan Petr. Explor. Co. Ltd. Search for other works by this author on: This Site Google Scholar Yoshiyuki Okano Yoshiyuki Okano Japan Petr. Explor. Co. Ltd. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, April 2005. Paper Number: SPE-93159-MS https://doi.org/10.2118/93159-MS Published: April 05 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Yamada, Tomomi, and Yoshiyuki Okano. "A Volcanic Reservoir: Facies Distribution Model Accounting for Pressure Communication." Paper presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, Indonesia, April 2005. doi: https://doi.org/10.2118/93159-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 Asia Pacific Oil and Gas Conference and Exhibition Search Advanced Search AbstractA TCF-class gas field has been producing over decades in Japan. The reservoir body comprises stacked Rhyolite lava domes erupted under submarine environment. Porous network developed in each dome and rapid chilling by seawater caused Hyaloclastite to deposit over it. Although Hyaloclastite is also porous in this field, its permeability has been dramatically reduced by clay minerals. These reservoir facies are interbedded with Basaltic sheets erupted alternately and Mud sedimented while the volcano was dormant.Based on stratigraphic correlation, multiple reservoirs were originally interpreted. Gas had been produced according to the priority assigned to each. However, it was noticed after 10–20 years of production that pressures of all unexploited units had been declining with variety of rates. We confirmed that by subsequent survey and decided to remodel the whole pressure system. As seismic data had not been informative, we made maximum use of the pressure data to resolve the nature of the communications.We employed multi-point geostatistics to capture the complicated facies distribution patterns. Realizations are then calibrated against pressure history through a gradual deformation technique. A common difficulty of building proper stationary training image is further pronounced in modeling a volcanic reservoir. We solved this by iteratively adjusting a training image inferred from literatures until acceptable history match was reached with reasonable number of deformations. Another issue was undetermined field extent. We settled this by stochastically populating a rectangular-parallelepiped modeling space of regular cells with pay and non-pay facies.Resulted realizations closely simulate pressure history and look realistic in both facies distribution and field extent. They ascribe the uneven pressure decline to narrow channels of Rhyolite and confinements by Hyaloclastite. Finalized training image indicates more intensity in facies spatial variation than had been expected. Based on 20 realizations, roughly 15% of scatter was estimated in OGIP around the mean.IntroductionDynamic behavior of a volcanic reservoir is closely linked to its particular process of originating porous medium. We first review its general mechanism and point out specific issues on the field of interest that are crucial in characterizing its pressure system.What is a volcanic reservoir?Volcanic lava is one of common reservoir facies hosting oil and gas accumulation in Japan. Basalt and Rhyorite lava can develop porous medium, especially if it is erupted under submarine environment. When fluid lava reaches to seafloor through a feeder channel, it undergoes rapid cooling by seawater and forms a mound of solid rock. Due to pressure drop, volcanic gas bubbles come out of solution and porous network is formed inside. Quenching and contraction in the outer layer create network of fractures. Extensive brecciation on surface of the mound generates rock fragments to deposit around it, which is called Hyaloclastite. Fig.1 presents such conceptual model for Rhyolite lava [1]. Keywords: proportion, stochastic simulation, perturbation, permeability, history, hyaloclastite, realization, upstream oil & gas, volcanic reservoir, simulation Subjects: Reservoir Characterization This content is only available via PDF. 2005. 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 machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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.
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 source (Gemma direct ou Codex distillé), 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 ».