Integrate, Network, and Don’t Underestimate the Power of Communication
Notice bibliographique
Résumé
Pillars of the Industry Contending with the oil and gas industry’s global and uncertain nature requires skill sets that span multiple professions, and a seamless integration between them. A passion to work with a diverse workforce attracts many of us to the oil and gas industry. When I arrived in Canada as a refugee, my first job was working at a holiday resort where the workforce included people from all over the world and this experience is something I cherish. If there is one thing that I can attribute to where I am today, it is the individuals I worked with in my first job. These were some of the best coaches and mentors that shaped my life. It is fair to say that my affiliation to the oil and gas industry was more by accident than design. As a professional in the oil and gas industry, a skill that is most dear to my heart is being part of an integrated team. As with life, one’s career is a journey and there is so much you can learn on the way. You need to keep an open mind throughout your career. The more complex the industry gets, the more the requirement for individuals who are good at integrating by forming strong long-lasting networks. The Current Industry Landscape We live in a world where oil production was predicted to reach its peak in the mid-2000s at just more than 80 million BOPD with demand expected to outstrip supply by 10 million BOPD in 2015. The reality is that world oil supply in the first quarter of 2015 was close to 96 million BOPD, with demand for oil at 94 million BOPD, according to data from the US Energy Information Administration. At the same time, oil prices have fallen more than 50% in the last year, and the world rotary rig count has dropped by close to 30%, according to recent data published by energyeconomist.com. In Australia, “nation-building” mega liquefied natural gas (LNG) projects have been constructed over the last decade and the country has significant LNG production capacity. A recent publication from the Reserve Bank of Australia forecasts LNG nameplate capacity growing from 20 million tonnes per annum (MTPA) in 2010 to 85 MPTA by 2018, at a time when downward oil prices are putting enormous pressure on oil and gas producers. According to Australia’s Department of Industry and Science, 2014–2015 LNG export value of about USD 18 billion is projected to increase at an annual growth rate of 21%, with export value expected to reach USD 47 billion by 2019–2020. By 2050, oil and gas is projected to supply close to two-thirds of Australia’s energy consumption. This growth is phenomenal. Clearly, just relying on what has happened in the past is not always the best yardstick for the future. The more we are apt to change, the higher our chances of survival.
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 | 0,001 | 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 ».