NEW WELL RESEARCH TECHNOLOGY IS THE KEY TO THE INTEGRATED DEVELOPMENT OF OIL AND GAS FIELDS
Notice bibliographique
Résumé
A detailed analysis of the available nuclear methods for well logging was carried out to select an effective technology from the point of view of obtaining true petrophysical data characterizing the formation matrix and fluid saturation at a specific point of time. The goal of these process is research currently available nuclear technologies designed for the Oil and Gas field formation evaluation and to review results of the implementation of QUAD NeutronTM (product of Roke Technologies Ltd (Canada)) in old wells in Ukraine. Reviewed are pulsed neutron technologies available from leading International Logging Companies, which are widely used in Ukraine, including the QUAD NeutronTM, to determine primary petrophysical properties and the reservoir saturation characteristics. Certain criteria have been established that signifi cantly impacted quality of the data analysis during interpretation. These included the number of casing strings installed, absence of Open Hole data as input, drill bit size, presence or absence of cement in the annulus and several others. The advantages and disadvantages of each of the systems are shown and effective examples of application with recommendations and test results are provided in this paper. Since 2009 QUAD NeutronTM was successfully utilized in more than 3000 wells worldwide. The geography of technology application covers such countries as Canada, USA, Russia, Azerbaijan, Malaysia, Colombia, Venezuela, Peru, China, Nigeria, Mexico, Georgia, Thailand, Kazakhstan, and Saudi Arabia. The following list of IOC, NOC and other international E&P companies contains only some of the users of the data provided by QUAD NeutronTM: Shell, Lukoil, Petronas, Repsol, Cenovus, Talisman, Murphy, Rosne] . «GEO-DELTA-KB» LLC has exclusive rights to QUAD NeutronTM technology on the territory of Ukraine since 2018. Equipment has been used to provide valuable formation evaluation data to such clients as Ukrgasvydobuvannya, Ukrna] a and other domestic companies in the Western and Eastern regions. Data gave been acquired in dozens of old Oil and Gas wells. The obtained results demonstrate the high efficiency of the technology application, especially when making decisions for the reactivation of old wells. Conducted analysis of existing nuclear logging methods allowed selection of the most effective technology as compared under similar conditions. The data obtained as a result of interpretation, together with an understanding of the processes occurring in the wells, contributed to providing reliable information for making informed decisions. The most eff ective application of the QUAD NeutronTM technology in Ukraine appears to be for the reevaluation of old wells with complex design (up to 4 strings of casing) to identify missing pay zones, assess the potential of existing reservoirs, determine the presence or absence of cement in the annulus, waterfl ooding zones, etc. The technology can also be successfully used for evaluating active wells and in openhole wellbores.
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 | 0,005 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,004 | 0,009 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,006 |
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 ».