1-20 of 1971
Information Management and Systems
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

PWD-PINN: Slope-assisted seismic interpolation with physics-informed neural networks

Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742422
https://doi.org/10.1190/image2022-3742422.1
Add To Cart
View Paper titled, PWD-PINN: Slope-assisted seismic interpolation with physics-informed neural networks
Open the PDF for PWD-PINN: Slope-assisted seismic interpolation with physics-informed neural networks in another window
Add to Citation Manager
Proceedings Papers

A deep-learning workflow for weak reflection extraction in pitch-catch measurements in cased-hole

Qiang Wang, Hua Wang, Shaopeng Shi
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3738424
https://doi.org/10.1190/image2022-3738424.1
Add To Cart
View Paper titled, A deep-learning workflow for weak reflection extraction in pitch-catch measurements in cased-hole
Open the PDF for A deep-learning workflow for weak reflection extraction in pitch-catch measurements in cased-hole in another window
Add to Citation Manager
Proceedings Papers

Marchenko focusing using convolutional neural networks

Mert S. R. Kiraz, Roel Snieder
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3738167
https://doi.org/10.1190/image2022-3738167.1
Add To Cart
View Paper titled, Marchenko focusing using convolutional neural networks
Open the PDF for Marchenko focusing using convolutional neural networks in another window
Add to Citation Manager
Proceedings Papers

Implementation of frequency-dependent fault identification by convolutional neural networks with uncertainty analysis

Fan Jiang, Alejandro Jaramillo, Steve Angelovich, Phill Norlund, Julianna Toms
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3737490
https://doi.org/10.1190/image2022-3737490.1
Add To Cart
View Paper titled, Implementation of frequency-dependent fault identification by convolutional neural networks with uncertainty analysis
Open the PDF for Implementation of frequency-dependent fault identification by convolutional neural networks with uncertainty analysis in another window
Add to Citation Manager
Proceedings Papers

Resolution of InSAR data inversion and its application to identify shallow hazards

Zhishuai Zhang, Kurt Nihei, Andrey Shabelansky, Dimitri Bevc, Joe Stefani, William Milliken, Gwyn Mali
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3743175
https://doi.org/10.1190/image2022-3743175.1
Add To Cart
View Paper titled, Resolution of InSAR data inversion and its application to identify shallow hazards
Open the PDF for Resolution of InSAR data inversion and its application to identify shallow hazards in another window
Add to Citation Manager
Proceedings Papers

Implementation of cloud-ready technology designed to address longstanding data interoperability and accessibility issues through the use of a comprehensive semi-automated seismic interpretation workflow

Marion Barré, Stuart Walley, Vianney Savajol, Jie Deng, Christine Rhodes, Aurelien van Welden, Paul Endresen, Marius Storm-Olsen, Andy James
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3743148
https://doi.org/10.1190/image2022-3743148.1
Add To Cart
View Paper titled, Implementation of cloud-ready technology designed to address longstanding data interoperability and accessibility issues through the use of a comprehensive semi-automated seismic interpretation workflow
Open the PDF for Implementation of cloud-ready technology designed to address longstanding data interoperability and accessibility issues through the use of a comprehensive semi-automated seismic interpretation workflow in another window
Add to Citation Manager
Proceedings Papers

NLP applications in the oil and natural gas industry

Prashanth Pillai, Srikanth Ryali, Hiren Maniar, Purnaprajna Mangsuli, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3739659
https://doi.org/10.1190/image2022-3739659.1
Add To Cart
View Paper titled, NLP applications in the oil and natural gas industry
Open the PDF for NLP applications in the oil and natural gas industry in another window
Add to Citation Manager
Proceedings Papers

Challenges for commercial-scale CCS in the saline aquifer: A case study — Wyoming CarbonSAFE DF project, Powder River Basin, Wyoming

Zunsheng Jiao, Matthew Johnson, Fred McLaughlin, Tao Bai, Ying Yu, Yuri Ganshin
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3736466
https://doi.org/10.1190/image2022-3736466.1
View Paper titled, Challenges for commercial-scale CCS in the saline aquifer: A case study — Wyoming CarbonSAFE DF project, Powder River Basin, Wyoming
Open the PDF for Challenges for commercial-scale CCS in the saline aquifer: A case study — Wyoming CarbonSAFE DF project, Powder River Basin, Wyoming in another window
Add to Citation Manager
Proceedings Papers

Simulating seismic data using generative adversarial networks

Bradley C. Wallet, Eyad Aljishi, Hussain Alfayez
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3739025
https://doi.org/10.1190/image2022-3739025.1
Add To Cart
View Paper titled, Simulating seismic data using generative adversarial networks
Open the PDF for Simulating seismic data using generative adversarial networks in another window
Add to Citation Manager
Proceedings Papers

The application of a new machine-learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data

Randy Harsuko, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3741049
https://doi.org/10.1190/image2022-3741049.1
Add To Cart
View Paper titled, The application of a new machine-learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data
Open the PDF for The application of a new machine-learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data in another window
Add to Citation Manager
Proceedings Papers

Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation

Harpreet Kaur, Sergey Fomel, Nam Pham
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3743090
https://doi.org/10.1190/image2022-3743090.1
Add To Cart
View Paper titled, Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation
Open the PDF for Automated hyper-parameter optimization for deep learning framework to simulate boundary conditions for wave propagation in another window
Add to Citation Manager
Proceedings Papers

Integrated 3D inversion of magnetotelluric and HeliTEM data collected in the geothermal area of Japan

Alexander Gribenko, Leif Cox, Michael Jorgensen, Michael S. Zhdanov, Masami Ikeya, Yusuke Usui
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3737534
https://doi.org/10.1190/image2022-3737534.1
Add To Cart
View Paper titled, Integrated 3D inversion of magnetotelluric and HeliTEM data collected in the geothermal area of Japan
Open the PDF for Integrated 3D inversion of magnetotelluric and HeliTEM data collected in the geothermal area of Japan in another window
Add to Citation Manager
Proceedings Papers

Combining machine learning and geostatistics for scenario models of the Handil Oilfield

Aditya Suardiputra, Julfree Slanturi, Andar Trianto, Colin Daly, Joko Sosiawan Trikukuh
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3741198
https://doi.org/10.1190/image2022-3741198.1
Add To Cart
View Paper titled, Combining machine learning and geostatistics for scenario models of the Handil Oilfield
Open the PDF for Combining machine learning and geostatistics for scenario models of the Handil Oilfield in another window
Add to Citation Manager
Proceedings Papers

Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks

Sixiu Liu, Claire Birnie, Tariq Alkhalifah, Andrey Bakulin
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742756
https://doi.org/10.1190/image2022-3742756.1
Add To Cart
View Paper titled, Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks
Open the PDF for Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks in another window
Add to Citation Manager
Proceedings Papers

Machine learning applications for frac-hit identification: A field data use case

Xiongjun Wu, Guoxiang Liu, Vyacheslav Romanov
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742713
https://doi.org/10.1190/image2022-3742713.1
Add To Cart
View Paper titled, Machine learning applications for frac-hit identification: A field data use case
Open the PDF for Machine learning applications for frac-hit identification: A field data use case in another window
Add to Citation Manager
Proceedings Papers

3D CNN for channel identification in seismic volume

Haishan Li, Wuyang Yang, Xiangyang Zhang, Xinjian Wei, Xin Xu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3737089
https://doi.org/10.1190/image2022-3737089.1
Add To Cart
View Paper titled, 3D CNN for channel identification in seismic volume
Open the PDF for 3D CNN for channel identification in seismic volume in another window
Add to Citation Manager
Proceedings Papers

Seismic diffractions separation and imaging based on convolutional neural network

Jiaxing Sun, Jidong Yang, Zhenchun Li, Jianping Huang, Jie Xu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3737676
https://doi.org/10.1190/image2022-3737676.1
Add To Cart
View Paper titled, Seismic diffractions separation and imaging based on convolutional neural network
Open the PDF for Seismic diffractions separation and imaging based on convolutional neural network in another window
Add to Citation Manager
Proceedings Papers

Detecting the fault and fracture systems by using 3D seismic attribute—Ant-tracking algorithm

Ibraheem Hafiz, Ziyad Albesher, James Kellogg, Essam Saeid
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3738405
https://doi.org/10.1190/image2022-3738405.1
Add To Cart
View Paper titled, Detecting the fault and fracture systems by using 3D seismic attribute—Ant-tracking algorithm
Open the PDF for Detecting the fault and fracture systems by using 3D seismic attribute—Ant-tracking algorithm in another window
Add to Citation Manager
Proceedings Papers

Tengiz field fault shadows mitigation with combined joint FWI-tomography, Q-tomography, and least-square migration

Tianjiang Li, King Sim Lee, Bin Gong, Kai Yang, Kai Zhang, Assem Bibolova, Zhanibek Katrenov
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742648
https://doi.org/10.1190/image2022-3742648.1
Add To Cart
View Paper titled, Tengiz field fault shadows mitigation with combined joint FWI-tomography, Q-tomography, and least-square migration
Open the PDF for Tengiz field fault shadows mitigation with combined joint FWI-tomography, Q-tomography, and least-square migration in another window
Add to Citation Manager
Proceedings Papers

Seismic imaging uncertainty using deep learning predicted Green’s functions

Han Liu, Anar Yusifov, Muhong Zhou, Linda Hodgson
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3743140
https://doi.org/10.1190/image2022-3743140.1
Add To Cart
View Paper titled, Seismic imaging uncertainty using deep learning predicted Green’s functions
Open the PDF for Seismic imaging uncertainty using deep learning predicted Green’s functions in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal