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  • Machine Learning
    • 3DMLI
    • 3DMLI – Carbonates
    • 3DMLI – Clastics
    • Log Prediction
    • Classification
  • Computing Platforms
  • Resources
    • Artificial Intelligence
    • Videos
    • Seismic Inversion
  • Technical Library
    • Publications
    • Projects

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

Seismic frequency content mostly governs the resolution power of 3D characterization models

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

  • Input data types include prestack 3D, multi-component, 4D, and azimuthal seismic data

  • One step process (no seismic inversion in between)

  • Bandwidth beyond seismic

  • Depth or time domain

Reduce subsurface uncertainty in seismic reservoir characterization studies by predicting rock properties in 3D using machine learning. Our AI algorithms use ensemble learning and neural network technology to predict acoustic, elastic, and petrophysical properties from seismic data

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

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