CODE: OG49
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
Machine Learning Applications in Reservoir Characterization provides participants with a combined understanding of how modern machine learning techniques can be applied to subsurface data for improved reservoir analysis and decision-making. It covers the integration of geological, geophysical, petrophysical, and engineering data with advanced algorithms to extract hidden patterns, reduce uncertainties, and enhance predictive modeling. Through a mix of theoretical foundations and practical case studies, the course demonstrates how machine learning transforms traditional workflows in reservoir characterization, enabling faster, more reliable, and data-driven insights.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the key principles and workflows of machine learning tailored to reservoir characterization.
Gain skills in data preprocessing, feature engineering, and model development specific to reservoir data.
Apply machine learning algorithms to analyse complex geological and production datasets.
Improve accuracy in predicting reservoir properties such as porosity, permeability, and fluid behaviour.
Enhance decision-making in reservoir modelling and production forecasting using AI-driven insights.
Use case studies to connect theory with practical reservoir characterization challenges.
At the end of this course, you’ll understand:
The course is designed for geoscientists, petroleum engineers, data scientists, and energy professionals who are involved in reservoir studies and asset development. It is also suitable for researchers interested in applying artificial intelligence and data-driven methods to geoscience and petroleum engineering challenges. A basic understanding of reservoir characterization concepts and fundamental programming or data analysis skills will be beneficial.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
