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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
Seismic data augmentation for automatic faults picking using deep learning
Nam Pham, Sergey Fomel
International Meeting for Applied Geoscience and Energy (IMAGE)
... these newly generated data for training a convolutional neural network for faults picking, as the training data will resemble the field test data...
2022
Deep-learning application of salt geometry detection in deep water Brazil
Ruichao Ye, Anatoly Baumstein, Kirk A. Wagenvelt, Erik R. Neumann
International Meeting for Applied Geoscience and Energy (IMAGE)
... a novel workflow based on a deep convolutional neural network for automatically detecting salt geometry from a seismic image. By developing...
2022
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)
... of the decoder is fed into a convolutional layer which reduces the channel dimension to 1. The intermediate output is added to a starting model and given...
2022
Separation of simultaneous source wavefields using convolutional neural network
Zhehao Li, Hua-Wei Zhou, Kang Fu
International Meeting for Applied Geoscience and Energy (IMAGE)
...Separation of simultaneous source wavefields using convolutional neural network Zhehao Li, Hua-Wei Zhou, Kang Fu Separation of simultaneous source...
2022
Retrieving high-resolution acoustic impedance using full-waveform inversion in presalt reservoir setting, offshore Brazil
Akshat Abhishek, Alok K. Soni, Rene-Edouard Plessix, Martijn Blaauw, Jaydip Guha, Gautam Kumar
International Meeting for Applied Geoscience and Energy (IMAGE)
... impedance inversion using our approach and perform a comparative study against the model parameters obtained from a convolutional model-based inversion work...
2022
An integrated workflow for deep learning-accelerated seismic modelling of the Groningen gas field, the Netherlands
Haibin Di, Vanessa Simoes, Zhun Li, Cen Li, Anisha Kaul, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... for their model building. In this paper, we propose accelerating the process of seismic modeling on the Groningen gas field in the Netherlands by integrating...
2022
Deep nonlinear seismic prior for seismic interpolation
Yuhan Sui, Xiaojing Wang, Jianwei Ma
International Meeting for Applied Geoscience and Energy (IMAGE)
... show their powerful performance on seismic interpolation using a convolutional neural network. Recently, an unsupervised deep seismic prior method...
2023
A geophysical prior knowledge guided semisupervised deep learning framework for AVA inversion
Lei Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... forward model. This reduces the dependence of the framework on training data. This GPKGS framework preserves the physical process of AVA inversion, making...
2024
DL-fused elastic FWI: Application to marine streamer data
Pavel Plotnitskii, Oleg Ovcharenko, Vladimir Kazei, Daniel Peter, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... initial model and water taper are mapped into the target low-wavenumber update. captured by FusionNet convolutional architecture in order to recover smooth...
2022
Automatic microseismic event detection in downhole DAS data through convolutional neural networks: A comparison of events during and post-stimulation of the well
Paige Given, Fantine Huot, Ariel Lellouch, Bin Luo, Robert G. Clapp, Biondo L. Biondi, Tamas Nemeth, Kurt Nihei
International Meeting for Applied Geoscience and Energy (IMAGE)
... present a convolutional neural network (CNN) which takes inputted images from DAS arrays and accurately detects microseismic events. Our model is able...
2022
3D seismic image-to-image translation
Xiaolei Song, Muhong Zhou, Lifeng Wang, Rodney Johnston
International Meeting for Applied Geoscience and Energy (IMAGE)
... by adopting two convolutional Bayesian layers as the network output layers to analyze the model uncertainties by calculating an uncertainty map from a local...
2023
Identification of vehicles from seismic signals using machine learning
Xiaoxuan Zhu, Ji Zhang, Jie Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... the performance of Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN) for identifying vehicles...
2023
Research on fault-karst reservoir identification method based on deep convolutional network
Zhipeng Gui, Junhua Zhang, Hong Zhang, Dong Chen, Pengbo Yin
International Meeting for Applied Geoscience and Energy (IMAGE)
... model adopted in this paper is shown in Figure 1a. Following the model input, it is connected to an MFEB module, followed by two convolutional layers...
2024
Enhancing seismic data quality: A machine learning approach to denoising and signal damage reduction
Mark Roberts, Olga Brusova, Leandro Gabioli, Alejandro Valenciano
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Leandro Gabioli, and Alejandro Valenciano, TGS Summary We propose a denoise workflow comprising a supervised ML (Machine Learning) model applied...
2024
Interpretation of deep neural networks for carbonate thin section classification
Lukas Mosser, George Ghon, Gregor Baechle
International Meeting for Applied Geoscience and Energy (IMAGE)
... SUMMARY This study uses ImageNet pretrained convolutional neural networks (CNNs), VGG11 and ResNet18 models to predict carbonate rock and pore types...
2022
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)
... that model reparametrization using deep convolutional neural networks (CNN) naturally introduces regularization to FWI. To leverage the benefits of DNN...
2024
Unlocking Lithium Potential from Oilfield Brines: A Deep Learning-Driven Resource Assessment
Rajkanwar Singh, Saaksshi Jilhewar, Audrey Der, Ryan Mercer, Vikram Jayaram
Unconventional Resources Technology Conference (URTEC)
... structured chemical data. • CNN-Bidirectional GRU (BiGRU) Model: Combining convolutional layers with bidirectional Gated Recurrent Units (GRUs) to enhance...
2025
An Overview of Reservoir Seismic Stratigraphy, Frontmatter
Tom Wittick
North Texas Geological Society
... Acoustic impedance Reflection coefficients Wavelets The convolutional model III. Preparation of seismic data for stratigraphic work Data...
1992
RNN-based seismic velocity model building: Improving generalization using hybrid training data
Hani Alzahrani, Jeffrey Shragge
International Meeting for Applied Geoscience and Energy (IMAGE)
...RNN-based seismic velocity model building: Improving generalization using hybrid training data Hani Alzahrani, Jeffrey Shragge RNN-based Seismic...
2022
Seismic inversion with dictionary learning using unsupervised machine learning
Debajeet Barman, Mrinal K. Sen
International Meeting for Applied Geoscience and Energy (IMAGE)
... (ML) has recently gained immense popularity in almost every field. This popularity is attributed to the invention of the Convolutional Neural Network...
2022
Unsupervised deep learning for seismic data reconstruction
Gui Chen, Yang Liu, Mi Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... for reconstructing missing traces in observed seismic data. While many DL-based reconstruction methods employ convolutional neural networks (CNNs...
2023
The impact of the synthetic seismic data generation method on automated AI-based horizon interpretation
F. Vizeu, J. Zambrini, A. Canning
International Meeting for Applied Geoscience and Energy (IMAGE)
... by using the convolutional model with full control of the synthetic wavelet, and add noise to it. To convert the 2D data into 3D we use a technique...
2023
Automatic low-order weak faults detection from carbonate reservoir based on deep learning and ant tracking
Han Wang, Xingwei Wu, Hanqing Wang, Jin Meng, Ji Chang, Tianrui Ye, Yujie Zhou, Dongwei Zhang, Yitian Xiao
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the improved convolutional neural network (3D attention-based U-Net) for low-order fault detection. (a) The model structure. (b) The structure...
2024
Transformer-based network for an efficient ground roll suppression
Randy Harsuko, Omar Saad, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...). This is attributed to the new components introduced to the model, namely the learnable positional encoding, the 1D convolutional encoder-decoder...
2024
Seismic interpolation based on quadratic denoising neural network
Yuhan Sui, Xiaojing Wang, Jianwei Ma
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Recently, a deep learning-based method is developed to achieve seismic interpolation by integrating the well-trained denoising convolutional neural...
2024