Notice bibliographique
Résumé
Private equity and venture capital firms are just as important to the evolution of the oil and gas industry as the leading operators and service companies. This became evident during the oil price crash when public equity opportunities disappeared and lenders shied away from the industry amid scores of bankruptcies. Illustrating the point earlier this year was Wil VanLoh, founder and CEO of Quantum Energy Partners, who boasted during the NAPE Global Business Conference that his firm would “look really similar to a superindependent” if it were to aggregate all the companies in which it’s currently investing, which altogether tally 2.3 million net acres, 350,000 BOE/D, and 32 rigs working across the US and Canada. With the backing of private investment, entrepreneurs who previously worked for companies such as Shell, Anadarko, Halliburton, Baker Hughes, and even smaller, lesser known entities have applied their unique skills and ideas to find, develop, and produce the latest generation of prolific oil and gas fields quicker and with less money than ever before. But finding those innovators who are actually capable of turning their dreams into reality is difficult. And when you’re the firm tasked with bearing the financial risk that comes with backing fledgling companies that hope to break into an already volatile industry, you tend be choosy. Enter Charlie Leykum, founder of CSL Capital Management, a 10-year-old private equity firm that builds and acquires controlling interests in oil and gas service and equipment companies. It’s currently launching its $1.5-billion Fund III as well as a special-purpose acquisition company, which raises capital from public investors, enabling them to participate in private equity purchases. “So much of what we do is finding not just an individual or a group of individuals who are technically or commercially really savvy,” but finding a “harmonized, well-working team,” Leykum said during the SPE Gulf Coast Section’s recent Innovation Entrepreneurship Symposium. CSL only considers business plans where a team is either in place or assembling with “a subject matter expert who’s the key decision maker” as well as technical and operations personnel. Together, they must have a firm grasp of the challenges and risks involved in building a business. When looking at possible investments, CSL wants technical leadership in a market. When CSL invested in a fracturing company in the early 2000s that ended up successful, Leykum said, the firm partnered with a major service company’s “lead fracturing executive for the business line” whose skills and expertise could solve—and had solved—unique challenges in different basins.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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 ».