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Proceedings Papers

The impact of the synthetic seismic data generation method on automated AI-based horizon interpretation

F. Vizeu, J. Zambrini, A. Canning
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911647
https://doi.org/10.1190/image2023-3911647.1
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View Paper titled, The impact of the synthetic seismic data generation method on automated AI-based horizon interpretation
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Comparison of three Bayesian methods for lithofluid facies prediction using elastic properties

Jingfeng Zhang, Kevin Wolf, Anar Yusifov, Matt Walker, Pedro Paramo, Jeffrey Winterbourne, Reetam Biswas, Atish Roy, Qiang Liu, Xingchao Liu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910809
https://doi.org/10.1190/image2023-3910809.1
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View Paper titled, Comparison of three Bayesian methods for lithofluid facies prediction using elastic properties
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Proceedings Papers

Looking for a simplified and generalized training set in ML applications for gravity modelling

Luigi Bianco, Ciro Messina, Maurizio Fedi
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911339
https://doi.org/10.1190/image2023-3911339.1
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View Paper titled, Looking for a simplified and generalized training set in ML applications for gravity modelling
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Proceedings Papers

Magnetotelluric inversion using supervised learning trained with random smooth geoelectric models

Lian Liu, Bo Yang, Yixian Xu, Dikun Yang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910431
https://doi.org/10.1190/image2023-3910431.1
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View Paper titled, Magnetotelluric inversion using supervised learning trained with random smooth geoelectric models
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Proceedings Papers

Deep carbonate reservoir characterization with unsupervised machine-learning approaches

Xuanying Zhu, Luanxiao Zhao, Xiangyuan Zhao, Yuchun You, Minghui Xu, Tengfei Wang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910455
https://doi.org/10.1190/image2023-3910455.1
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View Paper titled, Deep carbonate reservoir characterization with unsupervised machine-learning approaches
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Proceedings Papers

Identification of vehicles from seismic signals using machine learning

Xiaoxuan Zhu, Ji Zhang, Jie Zhang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3914280
https://doi.org/10.1190/image2023-3914280.1
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View Paper titled, Identification of vehicles from seismic signals using machine learning
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Proceedings Papers

Generating geophysical models from text for constructing the dataset of learning-based MT inversion

Yutong Li, Hongyu Zhou, Rui Guo, Maokun Li, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916917
https://doi.org/10.1190/image2023-3916917.1
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View Paper titled, Generating geophysical models from text for constructing the dataset of learning-based MT inversion
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Proceedings Papers

Deep learning based automatic marker separation

Atul Laxman Katole, Aria Abubakar, Edo Hoekstra, Srikanth Ryali, Tao Zhao
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916091
https://doi.org/10.1190/image2023-3916091.1
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View Paper titled, Deep learning based automatic marker separation
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Adaptive UMAP based multiple-frequency attribute blending and its application on hydrocarbon reservoir characterization

Zezhou Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Rongchang Liu, Jinghuai Gao
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3914152
https://doi.org/10.1190/image2023-3914152.1
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View Paper titled, Adaptive UMAP based multiple-frequency attribute blending and its application on hydrocarbon reservoir characterization
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Proceedings Papers

Anti-aliasing seismic data interpolation by dip-informed self-supervised learning

Shirui Wang, Xuqing Wu, Jiefu Chen
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3913209
https://doi.org/10.1190/image2023-3913209.1
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View Paper titled, Anti-aliasing seismic data interpolation by dip-informed self-supervised learning
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Integrated carbonate reservoir types modeling based on the PRT deep learning and multi-parameters seismic inversion and its application

Chen Xin, Song Jiawen, Liu Qing, Sun Qian, Zhao Min, Qi Qunli, Weixiang Zhong, Dengyi Xiao, Tang Zichang, Fuli An, Wang Bo, Fan Hanzhou, Li Xiaoliang, Huang Kongzhi, Liu Qiang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916706
https://doi.org/10.1190/image2023-3916706.1
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View Paper titled, Integrated carbonate reservoir types modeling based on the PRT deep learning and multi-parameters seismic inversion and its application
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Proceedings Papers

Perceptual quality-based model training under annotator label uncertainty

Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916384
https://doi.org/10.1190/image2023-3916384.1
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View Paper titled, Perceptual quality-based model training under annotator label uncertainty
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Proceedings Papers

Unsupervised clustering of frequently repeated 4D seismic data for delineation of CO 2 plume development

Boshara M. Arshin Sukar, Colin MacBeth
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3914216
https://doi.org/10.1190/image2023-3914216.1
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View Paper titled, Unsupervised clustering of frequently repeated 4D seismic data for delineation of CO 2 plume development
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Proceedings Papers

Counterfactual uncertainty for high dimensional tabular dataset

Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar, Ghassan AlRegib
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916797
https://doi.org/10.1190/image2023-3916797.1
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View Paper titled, Counterfactual uncertainty for high dimensional tabular dataset
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Proceedings Papers

An open-source toolbox to automate basin and petroleum system modeling for statistical analysis and uncertainty quantification

Mustafa A. Al Ibrahim
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3914751
https://doi.org/10.1190/image2023-3914751.1
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View Paper titled, An open-source toolbox to automate basin and petroleum system modeling for statistical analysis and uncertainty quantification
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Proceedings Papers

Gold Targeting of Fixed Wing Aeromagnetic Data Using Structural Complexity, Self-Organizing Map, and Supervised Deep Neural Network Analyses: A Case Study From the Red Lake Camp, Superior Province, Ontario, Canada

Karl Kwan, Jean M. Legault
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916978
https://doi.org/10.1190/image2023-3916978.1
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View Paper titled, Gold Targeting of Fixed Wing Aeromagnetic Data Using Structural Complexity, Self-Organizing Map, and Supervised Deep Neural Network Analyses: A Case Study From the Red Lake Camp, Superior Province, Ontario, Canada
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Proceedings Papers

Semisupervised learning with knowledge embedding for horizon volumes calculation

Rui Guo, He Lin, Maoshan Chen, Chunfeng Tao, Yingnan Gao, Ruochong Wen
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916072
https://doi.org/10.1190/image2023-3916072.1
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View Paper titled, Semisupervised learning with knowledge embedding for horizon volumes calculation
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Proceedings Papers

Fracture-cavity carbonate reservoir identification based on channel attention mechanisms

Liuxin Yang, Yongqiang Ma, Guangxiao Deng, Zhen Wang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916285
https://doi.org/10.1190/image2023-3916285.1
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View Paper titled, Fracture-cavity carbonate reservoir identification based on channel attention mechanisms
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Proceedings Papers

Porosity and permeability calculations in a biolithite using X-ray tomography images

Adetomiwa Aderemi, Elli-Maria Charalampidou, Zeyun Jiang, Erika Tudisco
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3915923
https://doi.org/10.1190/image2023-3915923.1
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View Paper titled, Porosity and permeability calculations in a biolithite using X-ray tomography images
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Proceedings Papers

What samples must seismic interpreters label for efficient machine learning?

Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916315
https://doi.org/10.1190/image2023-3916315.1
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View Paper titled, What samples must seismic interpreters label for efficient machine learning?
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