Q&A with Mayank Ashar, Managing Director and Chief Executive Officer, Cairn India
Notice bibliographique
Résumé
Q&A Mayank Ashar is the managing director and chief executive officer (CEO) of Cairn India. He has more than 36 years of experience in the international oil and gas industry. He previously served in various senior management and top leadership roles in global organizations such as BP, Petro-Canada, and Suncor Energy. He also served as the CEO and president of Irving Oil. In recognition of his operational excellence and large-scale project management leadership in the oil sands project with Suncor Energy, Ashar was named the “Operations Executive of the Year” by the Canadian Business magazine in 2003. Ashar holds bachelor’s degrees in chemical engineering and philosophy and economics, and master’s degrees in engineering and business administration from the University of Toronto. What are Cairn India’s major projects? Cairn India is one of the largest oil and gas exploration and production (E&P) companies in India, contributing approximately 27% of India’s domestic crude oil production. With our affiliates, we have been operating for more than 2 decades, playing an active role in developing India’s oil and gas resources. Our discovery of the Mangala field, the largest onshore crude oil discovery in India in more than 2 decades, opened up the prolific Rajasthan block. Since the resumption of exploration in 2013, Cairn India has made more than 12 discoveries. The total discoveries in Rajasthan alone are 37. The Rajasthan block is situated in the Barmer basin. The block contributed about 23% of India’s domestic crude oil production in FY 2015 [from April 2014 to March 2015]. To maximize the potential of the block and enhance ultimate recovery, Cairn India has initiated one of the world’s largest polymer flood EOR [enhanced oil recovery] programs in the Mangala field, which is the largest discovery made in the block to date. The polymer injection has started and is expected to lead to an increase in production from the field in FY 2016. There are plans to implement similar floods in the other two major fields, Bhagyam and Aishwariya. Apart from its oil reserves, there is a significant gas resource potential in our Rajasthan block. Together with our joint venture partner Oil and Natural Gas Corp. (ONGC), Cairn India is working toward creating appropriate infrastructure to monetize the gas potential, aiming to double gas production over this fiscal year. In addition, we have plans to drill 42 wells over the next 3 years and build a new processing terminal to increase production to approximately 100 million scf/D. The management committee has approved the Raageshwari deep gas field development plan for 100 million scf/D and contracting for this project is currently under way.
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 | 0,001 | 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 ».