E&P Notes (November 2016)
Notice bibliographique
Résumé
E&P Notes After Years of Development, Nanoparticle Drilling Fluid Ready Trent Jacobs, JPT Senior Technology Writer The challenge for nanotechnology-based drilling fluids is that in order to gain acceptance, they cannot simply match the industry’s conventional chemistries— they must outperform them. Calgary-based nFluids believes it is among the first to answer that call. The 4-year-old firm is now in the early stages of commercializing its nanoparticle additive that it says is compatible with all types of drilling fluids. Based on results from nine pilot wells and an independent study by the University of Missouri, the company reports that its nano-additive has achieved up to a 60% increase in wellbore strength, a 90% reduction in fluid losses, and a 50% reduction in friction during drilling— with the latter translating to a faster rate of penetration. Anticipation, Uncertainty High for Upcoming Mexico Auctions Stephen Whitfield, Staff Writer The opening of Mexico’s oil and gas sector was a landmark moment in the industry, but despite the potential upside, the uncertainty and risk surrounding unfamiliar offshore territory in a volatile price market kept many potential investors at bay. Today, more than a year after the first auction of shallow-water blocks, operators have a better idea of what to expect from Mexican authorities, but there are still questions left to be answered with more public bids on the horizon, an expert said. In a presentation held by the SPE Gulf Coast Section’s International Study Group, Loren Long discussed Talos Energy’s decision to bid on Mexican shallowwater leases, its experiences operating in the country, and his outlook on upcoming auctions. Long is the managing director for Talos’ Mexican operations. Energy Research Funding the Next Generation Stephen Rassenfoss, JPT Emerging Technology Senior Editor When Tom Williams was hired as president of RPSEA, one of the first things he did was change the title of the technology development organization’s September conference. At the end of The Best of RPSEA 10 Years of Research, he added, “and Beyond.” The decision was made shortly before the September gathering because he said the original made it sound “like a funeral. You are saying this is it.” That was a worry because the organization had failed to find funding to replace the dwindling cash flow from a US Department of Energy (DOE) program that the US Congress had killed before it was scheduled to expire. At the meeting Williams emphasized, “It is not it. We are a viable organization that will keep going.”
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 | 0,001 | 0,008 |
| 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 | 0,003 | 0,001 |
| Communication savante | 0,010 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,005 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,703 | 0,646 |
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 ».