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Time-lapse data matching using a recurrent neural network approach
Conventionally time-lapse surveys have discripency in the signal due to the overburden changes. A data matching between different surveys is performed using recurrent neural network.
Abdullah Alali, Vladimir Kazei, Bingbing Sun, Tariq Alkhalifah
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Time-lapse data matching using a recurrent neural network approach
Deep learning unflooding for robust subsalt waveform inversion
Automatic unflooding the salt body in full-waveform inversion by utilizing deep learning tools. We analyze three scenarios in creating the training datasets and their effects in the subsalt inversion.
Abdullah Alali, Vladimir Kazei, Mahesh Kalita, Tariq Alkhalifah
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Deep learning unflooding for robust subsalt waveform inversion
Seismic velocity modeling in the digital transformation era: a review of the role of machine learning
Review of various machine learning methods in velocity model building.
Abdullah Alali, Fatai Anifowose
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The effectiveness of a pseudo inverse extended born operator to handle lateral heterogeneity for imaging and velocity analysis applications
Analysis of the application of a pseudo inverse extended Born operator in a complex hetrogenious models. The operator is also tested in a DSO optimization to obtained a smooth velocity model for imaging and full-waveform inversion.
Abdullah Alali, Bingbing Sun, Tariq Alkhalifah
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The effectiveness of a pseudo inverse extended born operator to handle lateral heterogeneity for imaging and velocity analysis applications