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High-definition Low Frequency Model for AI Inversion

May 03, 2018
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Presented by:  
Oddy Pranidhana, Technical Advisor
Featured Domain:  Reservoir Geophysics - QSI
Featured Technnology:  AI Inversion



For years, reservoir geophysicists have adopted various seismic inversion methodologies, including AI inversion, simultaneous inversion, and more recently, stochastic/geostatistical inversion. Common input for all inversion workflows is what we call low frequency models, which derive from rock physics workflows and reservoir layer surfaces. We reservoir geophysicists believe that a good low frequency model, or what we call an initial model, will result in a great AI/simultaneous inversion.

The initial model for complex structure, sub-salt, or carbonate environments often provides less than ideal results by ignoring faults within the reservoir layer.

In this presentation, we will build an initial model that follows stratigraphic layers, through seamless integration between SKUA-GOCAD and SeisEarth. A model that follows the stratigraphic layer while honoring faults, will enhance the inversion workflow and provide most of the information needed for fluid characterization.


Oddy_Pranidhana_sm.jpgOddy Pranidhana is a Technical Advisor for seismic interpretation at Emerson Paradigm Indonesia.  Oddy spent more than 8 years working in some of the most challenging fields, mainly in Indonesia. Before joining Paradigm, he gained considerable experience working at Landmark Halliburton and Ikon Science. Oddy holds a Bachelor of Geophysical Engineering degree from the Bandung Institute of Technology in Indonesia