Training - Introduction to Data Analytics and Machine Learning Techniques for Geosciences and Reservoir Engineering
This course provides an extensive and practical knowledge for applying data analytics in reservoir modeling and predicting the well performance; the data driven approach is used to understand the main factors affecting the reservoir performance, using the fuzzy logic to rank these parameters and build a predictive model to optimize the reservoir response. Emphasis will be put on the use of supervised and unsupervised neural networks algorithms
For whom ?
Objectives
Program
Pedagogy
Assessment of achievements
More information
Expected skills
- Operate an industrial plant or equipment
- Optimize operation of an industrial plant or equipment
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]
Training - Introduction to Data Analytics and Machine Learning Techniques for Geosciences and Reservoir Engineering
This course provides an extensive and practical knowledge for applying data analytics in reservoir modeling and predicting the well performance; the data driven approach is used to understand the main factors affecting the reservoir performance, using the fuzzy logic to rank these parameters and build a predictive model to optimize the reservoir response. Emphasis will be put on the use of supervised and unsupervised neural networks algorithmsThis course provides an extensive and practical knowledge for applying data analytics in reservoir modeling and predicting the well performance; the data driven approach is used to understand the main factors affecting the reservoir performance, using the fuzzy logic to rank these parameters and build a predictive model to optimize the reservoir response. Emphasis will be put on the use of supervised and unsupervised neural networks algorithms
| Language: English |
| Modality: Face-to-face only |