Training - Machine Learning Concepts
Machine learning is a subfield of Artificial Intelligence that acts as a bridge between Data Science and Artificial Intelligence. Its objective is to understand the structure of data and to build data-driven models for further automate decision-making processes, in most technical domains including the O&G industry
Training - Machine Learning Concepts
For whom ?
Ingénieurs et techniciens du secteur pétrolier (forage, complétion, production) et parapétrolier dont les activités sont en liaison avec l'abandon et bouchage des puits (P&A)
Aucun prérequis n'est nécessaire pour suivre cette formation
Objectives
- Distinguer les différents types de bouchage des puits (temporaire, permanent)
- Reconnaitre les procédures de design et des opérations de bouchage des puits
- Identifier les éléments de barrières et leur validation
- Apprécier le rôle des personnels chargés des opération P&A
Les apprenants seront capables de mettre en œuvre les compétences suivantes :
Program
Pedagogy
Assessment of achievements
More information
Expected skills
- Carry out technical/economic studies
- Master methods
- Master techniques and tools
Training - Machine Learning Concepts
Machine learning is a subfield of Artificial Intelligence that acts as a bridge between Data Science and Artificial Intelligence. Its objective is to understand the structure of data and to build data-driven models for further automate decision-making processes, in most technical domains including the O&G industryMachine learning is a subfield of Artificial Intelligence that acts as a bridge between Data Science and Artificial Intelligence. Its objective is to understand the structure of data and to build data-driven models for further automate decision-making processes, in most technical domains including the O&G industry
| Language: English |
| Modality: Distance only |
To French entities: IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding.
Please contact our disabled persons referent to check the accessibility of this training program: [email protected]