|Integration of Rocks, Log and Test Data - ILC|
|Geomatics: Geodesy and Cartography - GEOM1|
|Seismic Positioning Data Management - SPDM|
|Introduction to Machine Learning/Data Analytics for Subsurface Engineering and Geoscience Applications - IMLD|
Duration: 2 days
Instructor(s): Deepak Devegowda
The interpretation of rich, heterogeneous and even real-time data has become possible because of recent advances in machine learning and the broader availability of computational power. The oil and gas industry is harnessing the power of this data-driven revolution to create actionable insights from real-time production, drilling, and completions data, SCADA data streams, 3D and 4D seismic, well data such as cores, well-logs, thin-sections and SEM images and even the advent of newer data type such as DTS/DAS measurements.
This 2-day course will introduce participants tthe concepts of exploratory data analyses, machine learning workflows and most importantly, data analytics and machine learning use cases for subsurface applications.
For the virtual session, class hours will be 08:00-12:00 Central US time (GMT-5:00).
The course is presented in three modules:
1) Introduction to data-driven workflows including data types, data quality checks and exploratory data analyses
2) Unsupervised learning and clustering with emphasis on the use cases and workflows
3) Supervised learning (including regression and classification) focusing on the use cases and workflows.
Geoscientists, petrophysicists, engineers, or anyone interested in subsurface engineering and geoscience applications of machine learning and data analytics
You Will Learn:
Unsupervised machine learning algorithms and applications, including:
Supervised machine learning algorithms and applications. This is a list of a few applications:
In-House Course Presentations
All courses are available for in-house presentation to individual organizations. In-house courses may be structured the same as the public versions or tailored to meet your requirements. Special courses on virtually any petroleum-related subject can be arranged specifically for in-house presentation. For further information, contact our In-House Training Coordinator at one of the numbers listed below.
Telephone 1- 832 426 1234
Facsimile 1- 832 426 1244
Public Course Presentations
How to contact PetroSkills:
1-800-821-5933 toll-free in North America or
Address P.O. Box 35448, Tulsa, Oklahoma 74153-0448, U.S.A