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[2019-09-07] |
[2019-09-07] Integrated Kinematic Time-lapse Inversion Workflow Leveraging Full-waveform Inversion and Machine Learning Check out my presentation in the post-convention workshop on Machine Learning and Data Analytics at the annual SEG 2019 convention. ...display full article text
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[2018-05-01] |
[2018-05-01] Monitoring of cyclic steam stimulation by inversion of surface tilt measurements Inversion of induced reservoir pore-pressure changes from deformation measurements may provide a potentially powerful reservoir-monitoring tool if the issues of measurement noise, uncertainty in model parameterization, and numerical accuracy and stability can be resolved. We discuss inverting injection-induced reservoir pressure changes from observable surface deformations using a linear poroelastostatic model of a subsurface reservoir. ...display full article text
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[2017-08-17] |
[2017-08-17] Multiscale time-domain time-lapse full-waveform inversion with a model-difference regularization
Another one of my upcoming SEG 2017 talks in Houston.
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[2017-08-17] |
[2017-08-17] Time-domain broadband phase-only full-waveform inversion with implicit shaping
My upcoming talk at SEG 2017 in Houston.
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[2017-03-11] |
[2017-03-11] Full Waveform Inversion for Reservoir Monitoring Check out extended abstract of the talk given at the First EAGE Workshop on Practical Reservoir Monitoring, 6-9 March 2017, Amsterdam, The Netherlands. Fluid movement in the subsurface and the associated changes in saturation translate into changes of the subsurface elastic parameters. Stress changes, whether due to fluid extraction/injection or deformation such as slips on preexisting faults, affect the elastic parameters as well. Detecting and inverting the imprint of changing subsurface elastic parameters on seismic data lies at the heart of time-lapse seismic imaging for reservoir monitoring. In this work we demonstrate that the recently proposed technique of simultaneous time-lapse full-waveform inversion with a model-difference regularization can be used to extract high-resolution information on magnitude and location of subsurface velocity and stress anomalies, potentially providing valuable input for reservoir monitoring and assessment of geohazards. |
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