High-Performance Implementation of 3D Seismic Target-Oriented Imaging

Protasov, M.

doi:10.1007/978-3-030-92864-3_10

Communications in Computer and Information Science

2021

DOI: 10.1007/978-3-030-92864-3_10

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High-Performance Implementation of 3D Seismic Target-Oriented Imaging

M. Protasov

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2023

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Fracture Model Reconstruction Based on Machine Learning and 3d Convolutional Modeling

Протасов,

Кенжин,

Павловский

2023

Геофизика

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В работе проведено численное исследование применимости машинного обучения в задаче трехмерной инверсии для реконструкции модели трещин. Сейсмическая инверсия используется на практике для прогнозирования коллекторских свойств. Стандартная инверсия основана на одномерной сверточной модели, но реальные геологические среды более сложны. Поэтому исследуется подход для реконструкции трехмерной модели трещин, основанный на трехмерном сверточном моделировании и машинном обучении с использованием нейронной сети U-Net. Численные эксперименты выполнены для реалистичной трехмерной синтетической модели трещин, созданной по реальным данным из северного региона России. We devote the presented paper to the numerical study of the applicability of 3D machine learning based on inversion for fracture model reconstruction. Seismic inversion is used in practice for predicting reservoir properties. Standard version is based on a one-dimensional convolutional model, but real geological media are more complex, therefore we provide implementation and investigation of the machine learning based approach for 3D fracture model reconstruction, which uses U-net neural network and 3D convolutional model. We perform numerical experiments for a realistic 3D synthetic fractured model created from real data got the north of Russia.

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Fracture Model Reconstruction Based on Machine Learning and 3d Convolutional Modeling

Протасов,

Кенжин,

Павловский

2023

Геофизика

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High-Performance Implementation of 3D Seismic Target-Oriented Imaging

Cited by 1 publication

References 8 publications

Fracture Model Reconstruction Based on Machine Learning and 3d Convolutional Modeling

Fracture Model Reconstruction Based on Machine Learning and 3d Convolutional Modeling

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