AGU24 Annual Meeting

Dec. 09
Dec. 13
Natiral Capital & Energy Transition

AGU24 Annual Meeting

Upcoming Panel Discussion at AGU24 Annual Meeting

Nicolás Omar Leiva, Head of AI of Xcalibur, will be speaking in the panel “Comprehensive ML Research on Geophysical Applications for Accelerating Natural Capital Discoveries for the Energy Transition” as part of the AGU24 Annual Meeting.

Date: December 10, 2024
Time: 16:00 – 17:30 EST
Location: Washington, D.C.

Xcalibur’s R&D Advances in Geophysical Applications with Machine Learning

Xcalibur’s R&D team leverages machine learning to enhance the processing and interpretation of large-scale geophysical data, accelerating natural capital discovery for the energy transition. Through airborne geophysical surveys, they map surface and subsurface features, demanding rigorous data processing. The team has developed tools, including a Gaussian Markov Field-based method for data levelling, ensuring spatial continuity and faster processing times. Additionally, convolutional models aid in automated geological feature identification, streamlining previously labor-intensive tasks. Ultimately, these innovations aim to produce reliable maps and explore complex models, like Generative Adversarial Networks, to refine exploration targets and boost discovery success.

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