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Short Course

Introduction to Scientific Machine Learning for Geophysicists

Monday, 21st October 2024, 08:00 – 17:00 | Grand Hyatt Al Khobar Hotel

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Outline/Objective


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.

Overview


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

Outcome


Participants will gain a solid theoretical foundation in SciML concepts and learn how to apply these techniques to geophysical modeling and inversion, with a focus on solving partial differential equations (PDEs) such as the eikonal and wave equations. Additionally, the course will provide insights into emerging trends and future research directions, preparing participants to contribute to advancements in geophysical modeling and inversion using SciML.

Who Should Attend


The course is targeted towards computational geophysicists who have some familiarity with neural networks and programming in Python.



Instructor

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Umair Bin Waheed

Associate Professor of Geophysics, King Fahd University of Petroleum and Minerals (KFUPM)

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Course Registration Fee (If Registered for Symposium)

Standard Rate : $420
Student Rate : $100

Short Course Only Registration Fee

Standard Rate : $450
Student Rate : $130

Registration Deadline

10th October 2024

Important Notes


  • The short course is limited in size and is reserved on a first-come, first-served basis and must be accompanied by a full payment.
  • A wait list is automatically created if the short course sells out. The organizers will notify you if space becomes available.
  • Before purchasing non-refundable airline tickets, confirm that the course will take place, as the course may be cancelled if undersubscribed.
  • Please register well before the deadline of 10 October 2024. Cancellation due to low enrollment will be considered at this time. No refunds will be allowed on short courses after 10 October 2024.
  • We will continue to take registrations for the short course if it’s not cancelled until it’s either sold out or closed.
  • The course will take place at the Grand Hyatt Al Khobar Hotel. Participants will be advised via email of the specific room approximately two weeks prior to the course.

Cancellation Policy


  • Cancellations can be made by contacting Snjezana MacLean on or before 10 October 2024. at smaclean@aapg.org
  • Cancellations received on or before 10 October 2024 will receive a refund LESS a US $75 processing fee.
  • Refunds will not be issued after 10 October 2024 or for “no shows.”
  • You may substitute one participant for another.

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