Short Course

SC-15: Introduction to Scientific Machine Learning for Geophysicists

Monday, 25 August | 8:00 a.m.–5:00 p.m. | George R. Brown Convention Center

Sponsored by the Society of Exploration Geophysicists (SEG)

This one-day course will cover theoretical concepts associated with physics-informed neural networks and neural operators. Subsequently, these methods will be used to solve geophysical forward and inverse problems, followed by emerging research trends related to the topic.

The following topics will be covered during this short course:
• Introduction to PINNs
• PINNs for solving forward and inverse problems in Geophysics
• Introduction to Neural Operators
• Solution of forward and inverse problems using neural operators
• Physics-informed Neural Operators
• Emerging trends in Scientific Machine Learning

Co-Leaders

Guest Speakers

Course Leader(s)

The course is targeted toward computational geophysicists who have some familiarity with neural networks and programming in Python.
The rapid evolution of machine learning technologies has revolutionized numerous fields, including geophysics, by offering advanced solutions to complex problems that were previously intractable. Geophysical modeling and inversion, critical to the exploration of Earth’s subsurface, have significantly benefited from these advancements. The core objective of this course is to explain basic theories of scientific machine learning (SciML) and equip participants with skills in implementing these tools to solve partial differential equations (PDEs) and the associated inverse problems, with a particular focus on eikonal and wave equations.

Notes

Important notes regarding short courses:

• Short courses are limited in size and are reserved on a first come, first served basis and must be accompanied by full payment.
• If you do not plan to attend IMAGE, a $35 enrollment fee will be added to the short course fee upon registering. This fee can be applied to a full-conference registration should you change your mind later.
• A wait list is automatically created when a short course sells out. You will be notified if you are on a wait list and space becomes available.
• Before purchasing non-refundable airline tickets, confirm the short course will take place as some may be cancelled if undersubscribed.
• Please register before 24 July 2025 to help guarantee your spot. Short course cancellations will be considered at this time — no refunds will be accepted for cancellations after this date.
• Registrations will continue to be processed for short courses that are not cancelled up until they are sold out or closed.

Fee:
$850 Professional Member
$1,000 Professional Nonmember
$150 Student
40
.8 CEUs
8 Professional Development Hours
More information coming soon.

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