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The AAPG/Datapages Combined Publications Database

Showing 38 Results. Searched 201,044 documents.

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ABSTRACT: Quantitative Integration of 3-D Seismic Data, Geological Information, Production Data, and Well Logs into Hydrocarbon Reservoir Models Amenable to Dynamic Prediction of Fluid Production; #90013 (2003)

Carlos Torres-Verdin, Mrinal K. Sen, Omar J. Varela, Zhan Wu, Indrajit G. Roy, Maika Gambus-Ordaz

Search and Discovery.com

... Amenable to Dynamic Prediction of Fluid Production; #90013 (2003) Carlos Torres-Verdin, Mrinal K. Sen, Omar J. Varela, Zhan Wu, Indrajit G. Roy, Maika...

2003

Elastic Wave Propagation in Fractured Media Using the Discontinuous Galerkin Method; #41955 (2016)

Jonás D. De Basabe, Mrinal K. Sen

Search and Discovery.com

...Elastic Wave Propagation in Fractured Media Using the Discontinuous Galerkin Method; #41955 (2016) Jonás D. De Basabe, Mrinal K. Sen Elastic Wave...

2016

Predicting porosity, water saturation, and shale volume with high-resolution seismic inversion using Hopfield network: Upper Assam Basin, India

Son D. T. Phan, Triveni Gogoi, Rima Chatterjee,and Mrinal K. Sen

AAPG Bulletin

.... T. Phan, Triveni Gogoi, Rima Chatterjee,and Mrinal K. Sen 2022 103 118 106 1 Quantitative seismic interpretation involves prediction of reservoir...

2022

Seismic inversion with dictionary learning using unsupervised machine learning

Debajeet Barman, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Seismic inversion with dictionary learning using unsupervised machine learning Debajeet Barman, Mrinal K. Sen Seismic inversion with dictionary...

2022

Solving seismic inverse problems by an unsupervised hybrid machine-learning approach

Mrinal K. Sen, Arnab Dhara

International Meeting for Applied Geoscience and Energy (IMAGE)

...Solving seismic inverse problems by an unsupervised hybrid machine-learning approach Mrinal K. Sen, Arnab Dhara Solving Seismic Inverse Problems...

2022

Uncertainty quantification for full-waveform inversion with a mini-batch gradient-based sampling method

Zeyu Zhao, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Uncertainty quantification for full-waveform inversion with a mini-batch gradient-based sampling method Zeyu Zhao, Mrinal K. Sen Uncertainty quanti...

2022

Full-waveform inversion from a homogeneous starting model: A field dataset study

Zeyu Zhao, Brook Tozer, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Full-waveform inversion from a homogeneous starting model: A field dataset study Zeyu Zhao, Brook Tozer, Mrinal K. Sen Full waveform inversion from...

2024

Uncertainty quantification of single and multi-parameter full-waveform inversion through a variational autoencoder

Abdelrahman Elmeliegy, Mrinal Sen, Jennifer Harding, Hongkyu Yoon

International Meeting for Applied Geoscience and Energy (IMAGE)

...Uncertainty quantification of single and multi-parameter full-waveform inversion through a variational autoencoder Abdelrahman Elmeliegy, Mrinal Sen...

2024

Efficient Bayesian full-waveform inversion using a deep convolutional autoencoder prior

Shuhua Hu, Mrinal K Sen, Zeyu Zhao, Abdelrahman Elmeliegy, Shuo Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

...Efficient Bayesian full-waveform inversion using a deep convolutional autoencoder prior Shuhua Hu, Mrinal K Sen, Zeyu Zhao, Abdelrahman Elmeliegy...

2024

A gradient-free Bayesian full-waveform inversion approach for background model uncertainty quantification

Shuhua Hu, Zeyu Zhao, Fuchun Gao, Faqi Liu, Shuo Zhang, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

..., Shuo Zhang, Mrinal K. Sen A gradient-free Bayesian full waveform inversion approach for background model uncertainty quantification Shuhua Hu* 1...

2024

Elastic-AdjointNet: A physics-guided deep autoencoder to overcome crosstalk effects in multiparameter full-waveform inversion

Arnab Dhara, Mrinal Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Elastic-AdjointNet: A physics-guided deep autoencoder to overcome crosstalk effects in multiparameter full-waveform inversion Arnab Dhara, Mrinal Sen...

2022

Uncertainty quantification of full-waveform inversion with adaptive MCMC method

Shuhua Hu, Zeyu Zhao

International Meeting for Applied Geoscience and Energy (IMAGE)

... on the model, enabling uncertainty analysis. ACKNOWLEDGMENTS The authors thank Dr. Mrinal Sen for very helpful discussion. Third International Meeting...

2023

Estimating CO2 saturation and porosity using the double difference approach based invertible neural network

Arnab Dhara, Mrinal K. Sen, Sohini Dasgupta

International Meeting for Applied Geoscience and Energy (IMAGE)

...Estimating CO2 saturation and porosity using the double difference approach based invertible neural network Arnab Dhara, Mrinal K. Sen, Sohini...

2023

Acoustic full-waveform inversion with acoustic and elastic data using a hybrid optimization method

Zeyu Zhao, Mrinal K. Sen, Mohamed Dolliazal, Paul Williamson

International Meeting for Applied Geoscience and Energy (IMAGE)

...Acoustic full-waveform inversion with acoustic and elastic data using a hybrid optimization method Zeyu Zhao, Mrinal K. Sen, Mohamed Dolliazal, Paul...

2022

Automated velocity modeling with domain transformations

Kevin Gullikson, Arnab Dhara, Ram Tuvi, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Automated velocity modeling with domain transformations Kevin Gullikson, Arnab Dhara, Ram Tuvi, Mrinal K. Sen Automated velocity modeling with domain...

2024

Transdimensional Bayesian gravity inversion and uncertainty analysis for salt reconstruction

Xiaolong Wei, Jiajia Sun, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Transdimensional Bayesian gravity inversion and uncertainty analysis for salt reconstruction Xiaolong Wei, Jiajia Sun, Mrinal K. Sen Trans...

2022

Fluid distribution modeling impact on estimating CO2 saturation in Cranfield: A capillary pressure equilibrium approach with invertible neural networks

Sohini Dasgupta, Arnab Dhara, Mrinal K. Sen

International Meeting for Applied Geoscience and Energy (IMAGE)

... networks Sohini Dasgupta, Arnab Dhara, Mrinal K. Sen Fluid distribution modeling impact on estimating CO2 saturation in Cranfield: a capillary pressure...

2024

A cross-shape deep Boltzmann machine for petrophysical seismic inversion

Son Dang Phan and Mrinal K. Sen

AAPG Bulletin

...A cross-shape deep Boltzmann machine for petrophysical seismic inversion Son Dang Phan and Mrinal K. Sen 2022 2225 2237 106 11 Typical estimation...

2022

Geostatistical inversion method based on seismic waveform similarity

Xuebin Ni, Jiajia Zhang, Guangzhi Zhang, Baoli Wang, Ying Lin, Zhuofan Liu

International Meeting for Applied Geoscience and Energy (IMAGE)

... improved the computational efficiency. Yang and Mrinal K (2016) developed greedy annealed importance sampling (GAIS) stochastic inference method...

2023

Unconventional reservoir characterization by seismic inversion and machine learning of the Bakken Formation

Jackson R. Tomski, Mrinal K. Sen, Thomas E. Hess, and Michael J. Pyrcz

AAPG Bulletin

...Unconventional reservoir characterization by seismic inversion and machine learning of the Bakken Formation Jackson R. Tomski, Mrinal K. Sen, Thomas...

2022

Integration of geology, rock physics, logs, and prestack seismic data for reservoir porosity estimation

Abdulaziz M. AlMuhaidib, Mrinal K. Sen, M. Nafi Toksoz

AAPG Bulletin

...Integration of geology, rock physics, logs, and prestack seismic data for reservoir porosity estimation Abdulaziz M. AlMuhaidib, Mrinal K. Sen, M...

2012

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