Alpine Field Simultaneous Angle Dependent Inversion
Notice bibliographique
Résumé
Abstract Simultaneous angle dependent inversion was performed on three angle stacks from the Alpine Field, located east of the NPRA in Alaska. Additionally, post-stack inversion was carried out on the near angle stack (utilizing the P-impedance log data as is), and on the far angle stack (utilizing elastic impedance generated at a range of 25 to 45 degrees). The results of the work helped the interpreters to better characterize the distribution of the reservoir in the field, and was used to facilitate well planning and reserves estimation. The inverted results suggest that the main Alpine C sand extends farther to the north than the seismic data alone indicate. This is verified by a new well which encountered the predicted thickness of reservoir sand. This allows the team to target an additional 20 million barrels of reserves. Figure 1: Map of the Alaskan North Slope, showing the location of Alpine Field.(Available in full paper) Introduction The Alpine Field on Alaska's North Slope (Figure 1) is jointly being developed by ConocoPhillips Alaska and Anadarko Petroleum Corp. The field currently produces at 100,000 barrels of oil per day, with a planned production increase to 130,000 barrels per day by 2005. The field produces mainly from the Alpine C sands, in the Late Jurassic aged Upper Kingak Formation. In order to reach the production increase, proper well planning and placement of development wells needs to be accomplished. One of the tools relied upon to reach this goal is simultaneous angle dependent inversion. This utilizes the AVO aspects of the reservoir rocks to better delineate the reservoirs. Crossplot analysis of the log data shows that post-stack seismic inversion of the full-stack or near-stack volume alone is not sufficient to discriminate the reservoir sands from the adjacent shales. There is a large overlap of the P-impedance values in the two lithologies. Description and Application of Processes Commercially available software is utilized to perform the simultaneous angle dependent inversion, which is essentially a pre-stack inversion methodology utilizing full Zoeppritz modeling and Aki-Richards approximations for some of the elastic impedance log generation. Figure 2 shows the seismic coverage and well logs that were employed in the study. The methodology is as follows. First, the horizons that are going to be used as constraints need to be interpolated/extrapolated to every trace. Next, meticulous stretching and squeezing of the logs needs to be performed to tie the well logs in time to the seismic data. The tied logs are then used to extract wavelets around every well also as in a multi-well mode to obtain an average wavelet. The wavelet estimation is performed on the near angle stack. Elastic impedance generation is done for each well to match the angle range for the mid-angle and far-angle stacks. The single-well and multi-well wavelet estimation is then carried out for the mid-angle stack and far-angle stack, utilizing the appropriate elastic impedance log data. Note that in this case, high-order anisotropic velocity analysis had been performed on each angle stack to line up events.
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 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 ».