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.
Bandwidth Limitations
Time Domain Requirement
Quantitative Interpretation workflows must usually be carried out in the time domain
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