Petroleum Data Analytics - Engineering Application of Artificial Intelligence & Machine Learning

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Disciplines: Completions | Production and Operations | Reservoir

Course Description

Artificial Intelligence and Machine Learning is revolutionizing many industries.  This technology is becoming an important point of competitive differentiation in the upstream oil and gas industry. Since optimization of production and enhanced recovery is the important issue for the petroleum industry, companies are realizing that reality and actual field measurements play much more important role in success of decision making than traditional assumptions, interpretations, and preconceived notions.

“Data” representing the actual field measurements, can provide much needed insight. Petroleum Data Analytics provides a set of tools and techniques for both conventional and unconventional resources to extract patterns and trends from data and construct predictive models to assist decision making and optimization. The most important part of Engineering Application of Artificial Intelligence and Machine Learning in the Petroleum Industry is the realistic and scientific understanding of this technology, its differences with traditional statistics and its non-engineering applications. This short course covers all such details to generate the interest in becoming Petroleum Data Analytics Engineers.

Topics:

• Basics of Artificial Intelligence (AI) and Machine Learning (ML)
  • Artificial Neural Networks (Deep Learning)
  • Fuzzy Set Theory
  • Evolutionary Computation
• Engineering & Non-Engineering Problem Solving using AI&ML
• Traditional Statistics versus AI&ML
• Petroleum Data Analytics
  • Conventional Resources
    • Data-Driven Reservoir Modeling - Top-Down Modeling (TDM)
    • Actual Case Studies
• Unconventional Resources
  • Shale Analytics
    • Multiple Case Studies

Learning Level

Course Length

Why Attend

Petroleum Data Analytics is fairly new. A handful of domain experts have dedicated extensive amounts of time and effort to develop and present the next generation of tools that incorporate these technologies in the petroleum industry. Unfortunately, hypes, buzz words, and marketing ploys around data analytics have overwhelmed the petroleum industry in the past few years, specifically in the United States and most recently throughout the world. Many with little to no understanding and knowledge of the physics and the geology and other with very superficial understanding of AI and Machine Learning have been marketing these hypes.

This course will demonstrate the power of Artificial Intelligence and Machine Learning and the difference this technology can make for informed decision making when it comes to accomplishing important short-term, mid-term and long-term objectives. This course will also show how to distinguish between realistic application of AI and Machine Learning versus marketing ploys.

Who Attends

This course is designed for geo-scientists, engineers, and managers. Specifically, those involved with geology, drilling, reservoir, completion, and production in operating and service companies. In general, those involved in planning, completion, and operation in assets are the main target audience.

CEUs

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

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