Introduction to Data Analytics & Machine Learning Techniques for Geosciences & Reservoir Engineering
MLRES-EN-P
Who should attend?
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.
Public :
Reservoir engineers and geoscientist interested in data analytics, data driven reservoir modeling and machine learning methods for predicting reservoir performance.
Level :Awareness
Prerequisite :
Degree holder in a technical field, with basic reservoir engineering and geoscience knowledge.
Course Content
INTRODUCTION TO DATA ANALYTICS
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Duration : 0.5 Day
Principles of data analytics.
Data statistics (univariate, bivariate, distributions).
Data ranking (correlation matrix, principal component analysis, fuzzy logic).
MACHINE LEARNING TECHNIQUES
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Duration : 1 Day
Fundamentals of machine learning (supervised and unsupervised).
Evaluating machine learning models.
Machine learning workflow.
PREDICTIVE MODEL & UNCERTAINTY QUANTIFICATION
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Duration : 1.5 Days
Build a predictive model using machine learning techniques.
Predictive model, quantify errors, testing and validation.
Examples for predictive model in reservoir engineering.
Learning Objectives
Attendees will be able to implement the following skills:
Apply the basic statistical methods for better data analysis,
Apply clustering methods for data classification (facies logs modeling),
Build a predictive model using available machine learning methods and use it as a proxy model for predictions, uncertainty analysis and quantification.
Ways & Means
Interactive lectures and exercises.
More
Coordinator :IFP Training trainers (permanent or contracted) having a good expertise and/or experience of the related topics, trained to adult teaching methods, and whose competencies are kept up-to-date.
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 : referent.handicap@ifptraining.com
IFPT Account
