Introduction to Machine Learning for Petroleum Engineers

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Disciplines: Completions | Drilling | Management | Production and Operations | Projects, Facilities, and Construction | Reservoir

Course Description

In today’s competitive business environment, the traditional methods of data collection and analytics often aren’t enough. Professionals and companies alike are increasingly turning to powerful techniques from the Artificial Intelligence (AI) domain, a move spurred on by the recent leaps in computational power, better algorithms, larger amounts of data being collected, the availability of more advanced software libraries, and the adoption of easy to use programming languages. This short course explores the basic concepts and techniques used in Machine Learning and Neural Networks, some of the technology’s applications, and the need for data quality control.

Topics:

• • Basic concepts of Machine Learning with an emphasis on oil and gas applications
  • Methods and algorithms used in Machine Learning and Neural Networks
  • Achieving a good understanding of the issues involved in the use of such techniques
  • A simple roadmap for the implementation of Machine Learning in a company
  • Discussions about data quality control to be used in Machine Learning
  • Understanding the key concepts for some algorithms currently used
  • Business cases to illustrate the concepts explored in the course

Learning Level

Introductory - Intermediate

Course Length

1 Day

Why Attend

Upon completion of this course, participants are expected (to some extent) to:

• Identify potential areas to implement Machine Learning techniques
• Understand the basic concepts related to Machine Learning and Neutral Networks, as well as the main algorithms and their applications
• Learn essential information about this new technology and how it can be used in the business context
• Obtain insightful knowledge on how to implement AI tools and data QC
• Consider the pros and cons of adopting new technology before "jumping on the bandwagon"
• Learn the basic concepts of MAchine Learning away from the complexities of mathematical and computer science
• Avoid the use of new technologies in your business just for the sake of it
• Compare different algorithms and applications commonly used in this area
• Analyze in just a few steps how to implement a process to utilize Machine Learning

Who Attends

This course is intended for professionals interested in exploring the field of Data Analytics and improving drilling and related operations.

Professionals that are responsible in the following functional areas should attend:

• Business Unit Head
• Data and Business Analysts
• Data Managers
• Data Mining
• Data Science Analysts
• Drilling and Completions
• Information Technology
• Operations
• Production Technology
• Project Management
• Reservoir Engineering
• Risk Management

CEUs

0.8 CEUs (Continuing Education Units) are awarded for this 1-day course.

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.

We reserve the right to substitute course instructors as necessary.

Instructor