This formation is proposed by the brand Alliance4Training
Training - Data Management and Data Science Final Project
This module consists in 10-day workshops and hands-on project to apply data management and data science concepts to E&P real-case data. The objective is to mimic usual situations in E&P companies that could involve data management and data science, and to create/develop models in E&P domains (seismic, geology…) to enhance decision-making processes in a short time
Working on several workshops, the trainees have to solve issues like how to organize the E&P data acquired in a data room? How to assess data quality? Can Artificial Intelligence help? How would supervised or unsupervised AI helps for seismic interpretation?
Training - Data Management and Data Science Final Project
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 - Data Management and Data Science Final Project
This module consists in 10-day workshops and hands-on project to apply data management and data science concepts to E&P real-case data. The objective is to mimic usual situations in E&P companies that could involve data management and data science, and to create/develop models in E&P domains (seismic, geology…) to enhance decision-making processes in a short time Working on several workshops, the trainees have to solve issues like how to organize the E&P data acquired in a data room? How to assess data quality? Can Artificial Intelligence help? How would supervised or unsupervised AI helps for seismic interpretation?This module consists in 10-day workshops and hands-on project to apply data management and data science concepts to E&P real-case data. The objective is to mimic usual situations in E&P companies that could involve data management and data science, and to create/develop models in E&P domains (seismic, geology…) to enhance decision-making processes in a short time
Working on several workshops, the trainees have to solve issues like how to organize the E&P data acquired in a data room? How to assess data quality? Can Artificial Intelligence help? How would supervised or unsupervised AI helps for seismic interpretation?
| Language: English |
| Modality: Face-to-face 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]