7 Industry Leaders Share Their Insights on the Past, Present, and Future of Artificial Lift
Notice bibliographique
Résumé
_ In the past 25 years, the artificial lift industry has seen incredible changes, making hydrocarbon production smarter and more efficient. In this Q&A article, JPT talks with seven industry leaders from this field about its past, present, and future. This conversation showcases the technological progress such as materials, digital tools, and automation and the strategic leadership that has guided the industry to new heights. Join us as we dive into the world of artificial lift and discover the innovation and expertise shaping the future of energy. This roundtable Q&A includes the following participants: - Greg Stephenson, chief production engineer, Occidental Petroleum - Michael Romer, principal artificial lift engineer, ExxonMobil - Laura Labrador, senior production engineer, Ecopetrol, and 2023–2024 chairman of the SPE Artificial Lift and Gas Well Deliquification Technical Section - Shauna Noonan, Oxy Fellow and senior director global supply chain initiatives, Occidental Petroleum - Jose Ernesto Jaua, global product champion, SLB - Kevin Leslie, vice president artificial lift solutions, Weatherford International - Dana Meadows, global portfolio director, artificial lift systems, Baker Hughes JPT: Can you recall an experience, technical paper, or mentor that significantly influenced your early career in artificial lift? How did it shape your approach? _ Stephenson: Numerous individuals impact my early career, the most noteworthy being Herald Winkler, who was in the first class of SPE’s Legends of Artificial Lift awarded in 2014. I traveled to my first ATCE in New Orleans as a first-year petroleum engineering student. I distinctly remember walking the exhibit floor and seeing this little guy get mobbed by people asking him questions. I asked one of my fellow students, ‘Who is that guy? Tom Cruise?’ He told me, ‘No. That’s Wink.’ I then learned that Wink was one of the pioneers of gas-lift technology and wrote the first definitive book on the subject. At that moment, I realized that artificial lift might offer a viable career path for me. Eventually, I got to know him personally, first as a student and then as an artificial lift professional. One of the most impactful conversations I had with him was one in which he told me, ‘I am not a gas-lift expert. You cannot be an expert in gas lift—the field is too complex. I’m still learning things, and I’ve been doing this for over 60 years!’ That encounter taught me to be humble in approaching my craft and never assume I knew everything.
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 | 0,001 |
| 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 ».