Keynote 2: Emerging Opportunities with Data Analytics and Machine Learning in Subsurface Modeling

M. Pyrcz

doi:10.3997/2214-4609.202132011

f Keynote 2: Emerging Opportunities with Data Analytics and Machine Learning in Subsurface Modeling
By M. Pyrcz¹
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Affiliations: ¹ The University Of Texas At Austin
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, Second EAGE Workshop on Machine Learning, Mar 2021, Volume 2021, p.1 - 2
DOI: https://doi.org/10.3997/2214-4609.202132011

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Invited keynote talk. I think I only need a short abstract.

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2021-03-08

2024-04-23

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f Keynote 2: Emerging Opportunities with Data Analytics and Machine Learning in Subsurface Modeling

Abstract

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The natural combination of full and image‐based waveform inversion

Poststack diffraction imaging using reverse‐time migration

Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis

Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture