Quantitative Interpretation has been dominated by conventional workflows using theories and equations backed by science. These methods inherently possess limitations that are believed to be unavoidable.
Multi-Physics Technologies offers 3D Machine Learning Inversion as an alternative to circumvent these limitations.
3D Machine Learning Inversion
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Input data types include prestack 3D, multi-component, 4D, and azimuthal seismic data
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One step process (no seismic inversion in between)
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Bandwidth beyond seismic
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Depth or time domain
NExT Course - Bogota, Colombia
Multi-Physics Technologies Lead Geophysicist Teaches AVO and Seismic Inversion With Petrel to Ecopetrol in Bogota, November 20 – November 24, 2023
Machine Learning Software
Multi-Physics internal software for predicting rock and petrophysical properties in 1D and 3D using machine learning.
OTC
Subsurface Characterization Using Ensemble Machine Learning – Presented at the OTC Annual Conference and Exhibition at NRG Park in Houston, Texas, USA
GSH Journal
Geophysical Society of Houston Journal: Spectral Extrapolation and Acoustic Inversion for the Characterization of an Ultra-Thin Reservoir
AAGP
Resolving Sedimentary Features in a Lower Miocene Clastic Reservoir, Jeanerette Field, Louisiana – Presented at the joint AAPG and SEG International Meeting for Applied Geoscience and Energy, Denver, USA
NExT Course - Karachi, Pakistan
Multi-Physics Technologies Lead Geophysicist Teaches A Modern Approach to Seismic Interpretation with Petrel in Karachi, July 31 – August 4, 2023
NExT Course - Quito, Ecuador
Multi-Physics Technologies Lead Geophysicist Teaches AVO and Seismic Inversion With Petrel to PetroEcuador in Quito, May 29 – June 2 2023