Did I Make the Right Career Choice?
Notice bibliographique
Résumé
Special Section: The Value and Future of Petroleum Engineering JPT asked several active young professionals about their career path thus far and what they liked about petroleum engineering. Here are some of their answers. Feeling Lucky Carter Clemens, BP I lucked into the petroleum industry; I did not know much about it before choosing it as a major at the University of Texas. It has allowed me to live and travel to distant countries I never thought I would visit—whether it is Abu Dhabi, Port of Spain, Cairo, or Aberdeen, the oil industry has an incredible reach to some interesting locations. It has also enabled me to pursue engineering while spending a lot of my time outside instead of in front of a computer screen. When I was riding around with well operators in Wyoming and Colorado, I thought of how lucky I was to not be in a cubicle. There is something special about being on a well-site surrounded by snow in Wyoming or watching a sunrise from a rig in the middle of the ocean—you can’t get that with most industries. Personal Satisfaction Bruno S. Rivas, Mexico National Hydrocarbons Commission Petroleum engineering is more than get-ting oil out of the ground; it means delivering the energy that the world needs to fight poverty, increase human wellness, and accelerate growth in a sustainable way. The oil and gas industry has given me the opportunity to interact with professionals from all over the world, to exchange different experiences, to solve problems in a responsible and efficient manner, and to inspire future generations. With no doubt, if I had to decide again what to study, my choice would be oil and gas; it is certainly not an easy path, but realizing that I’m generating a positive impact on others’ lives is a personal satisfaction. Let’s Talk Climate Change Angela Dang Atkinson, Encana Corp. I love saying, “I’m a petroleum engineer and I believe in anthropogenic climate change.” It catches people off guard and begins a nuanced conversation about energy. It is an opportunity for me to talk about the importance of incremental change and that there is no silver bullet in solving the world’s energy challenges. As Harvard economics professor Ed Glaeser states, “Once we start thinking that there’s a silver bullet…we lose the fact that we need to be working day by day, over decades, to effect change.” We, the oil industry, are among those working day by day to effect change—whether we are increasing the use of recycled fracture water or finding creative ways to reduce emissions, these are the types of incremental gains on the way to better energy solutions. This nuanced conversation should not primarily exist in 150-character tidbits online. It is up to us to have that conversation in a grassroots manner, face to face, with our community.
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 | 0,004 | 0,021 |
| 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 | 0,006 | 0,001 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,007 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,149 | 0,048 |
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 ».