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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
Equivariant imaging for self-supervised regularly undersampled seismic data interpolation
Weiwei Xu, Vincenzo Lipari, Paolo Bestagini, Politecnico di Milano, Wenchao Chen, Stefano Tubaro
International Meeting for Applied Geoscience and Energy (IMAGE)
... applied, such as Convolutional Autoencoder with mean squared error (MSE) loss (Mandelli et al., 2018) and U-net with a texture loss (Fang et al., 2021...
2022
Deep learning software accelerators for full-waveform inversion
Sergio Botelho, Souvik Mukherjee, Vinay Rao, Santi Adavani
International Meeting for Applied Geoscience and Energy (IMAGE)
... is the use of (deep) neural networks, which have proven to be capable of learning complex non-linear relationships between the velocity model...
2022
AI: a Game Changer in Seismic Acquisition and Processing
Matt Deighton, Sverre Olsen
GEO ExPro Magazine
.... Convolutional neural networks (CNNs) are one example of AI that can be trained to perform similar analysis but in an accelerated timeframe. Removing...
2021
Deep Dix: Enhancing interval velocity model estimation through adversarial regularization
Joseph Stitt, Robert Clapp, Biondo Biondi
International Meeting for Applied Geoscience and Energy (IMAGE)
... that Convolutional Neural Networks (CNNs) have successfully generated mappings from low-frequency shot gathers to low-wavenumber Earth model...
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)
... posterior pdfs of model parameters to those obtained using Markov Chain Monte Carlo methods at significantly less computational time. We use two...
2023
Complete detection of small earthquakes uncovers intricate relation between injection and seismicity
Yangkang Chen, Alexandros Savvaidis, Omar M. Saad, Daniel Siervo, Dino Huang, Yunfeng Chen, Iason Grigoratos, Sergey Fomel, Caroline Breton
International Meeting for Applied Geoscience and Energy (IMAGE)
... earthquake compact convolutional transformer (EQCCT) for training a model to pick the P- and S-wave from 3-C earthquake waveforms in Texas (Hassani et...
2024
Conditional image prior for uncertainty quantification in full-waveform inversion
Lingyun Yang, Omar M. Saad, Tariq Alkhalifah, Guochen Wu
International Meeting for Applied Geoscience and Energy (IMAGE)
... the evaluation of model uncertainties. To address this problem, we propose leveraging a conditional Convolutional Neural Network (CNN) as image prior...
2024
Application of intelligent fault identification and sealing evaluation technology in Lukeqin area
Sun bo, Lin Yu, Guo Xiang, Yin Xue Bin, Nie Zhiwei, Liu Hongyan
International Meeting for Applied Geoscience and Energy (IMAGE)
... as a whole. Through fault model construction, deep learning and direct prediction, the micro-fault prediction technology based on convolutional neural...
2024
Transfer learning for cement evaluation: An image classification approach using VDL time series
Amirhossein Abdollahian, Hua Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... isolation potential. The cornerstone of transfer learning is the utilization and fine-tuning of pre-trained Convolutional Neural Networks (CNNs), which...
2024
Facies-constrained elastic full-waveform inversion for tilted orthorhombic media
Ashish Kumar, Ilya Tsvankin
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional neural networks to mitigate the influence of tradeoffs and increase the spatial resolution of FWI. The developed CNN generates a facies model...
2024
Simultaneous imaging of basement relief and varying susceptibility in deep-learning approach
Zhuo Liu, Yaoguo Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... in the basement rock assuming a 2D model. Particularly, the U-net architecture followed by a fully connected (FC) layer is adopted to map the information...
2024
Seismic absolute acoustic impedance inversion using domain adversarial based transfer learning
Anjali Dixit, Animesh Mandal
International Meeting for Applied Geoscience and Energy (IMAGE)
..., saturation, to name a few. However, to obtain absolute AI, incorporation of low-frequency impedance model is essential. This work presents a unified...
2024
Towards flexible demultiple with deep learning
Mario Fernandez, Norman Ettrich, Matthias Delescluse, Alain Rabaute, Janis Keuper
International Meeting for Applied Geoscience and Energy (IMAGE)
... moveout to be considered multiple reflections in Mi+1 than in Mi . We build the training data through the convolutional model for a large number...
2024
Application of Deep Learning for Methane Emissions Quantification and Uncertainty Reduction from Spectrometer Images
Ismot Jahan, Mohamed Mehana, Hari Viswanathan
Unconventional Resources Technology Conference (URTEC)
... oil and gas fields in the fields of Texas, California and New Mexico. Methods: We trained a convolutional neural network (CNN) using Large Eddy...
2024
Conditioning Stratigraphic, Rule-Based Models with Generative Adversarial Networks: A Deepwater Lobe, Deep Learning Example; #42402 (2019)
Honggeun Jo, Javier E. Santos, Michael J. Pyrcz
Search and Discovery.com
... trend model, parameterized by gradients, orientations, mean, and standard deviation. Our deep learning-based, local data conditioning workflow consists...
2019
Integration of deep neural networks into seismic workflows for low-carbon energy
Biondo Biondi, Joseph Jennings, Min Jun Park, Stuart Farris, Bob Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
... characterization and monitoring. In this presentation we will show examples of convolutional neural networks applied to early waring in CCS projects and cost...
2022
An Introduction to Deep Learning: Part II
Lasse Amundsen, Hongbo Zhou, Martin Landrø
GEO ExPro Magazine
... often the model fails to predict the correct answer in their top five guesses (the top-5 error rate), in descending order of confidence. ILSVRC 2012...
2017
Boulder prediction for offshore windfarm site evaluation using an interactive 2D CNN and a unique weighting scheme on unmigrated seismic
Samuel Chambers, Jesse Lomask
International Meeting for Applied Geoscience and Energy (IMAGE)
.... This gives the model a basic understanding of what to look for, and how to create the segmented output. The basic convolutional synthetic data was created...
2023
A novel approach to hydrocarbon reserves estimation through the integration of AI-based solutions: 3D gamma-ray prediction and 3D seismic clustering
Konstantin Matrosov, Orkhan Mammadov, Tarek Eliva, Ruslan Malikov, Izat Shahsenov
International Meeting for Applied Geoscience and Energy (IMAGE)
... Ray (GR) prediction requires a seismic reflectivity stack and GR log from the wells. In the background, it utilizes the Convolutional Neural Network...
2024
Deep water OBN multiple prediction from local reflectivity in the Stolt domain
Cesar Ricardez
International Meeting for Applied Geoscience and Energy (IMAGE)
... of multiple attenuation techniques. Many techniques exist for mitigating multiples in OBN surveys. Among these methods are convolutional techniques...
2024
Deep convolutional neural networks for generating grain-size logs from core photographs
Thomas T. Tran, Tobias H. D. Payenberg, Feng X. Jian, Scott Cole, and Ishtar Barranco
AAPG Bulletin
...Deep convolutional neural networks for generating grain-size logs from core photographs Thomas T. Tran, Tobias H. D. Payenberg, Feng X. Jian, Scott...
2022
Abstract: Kirchhoff Imaging with Adaptive Greens Functions for Compensation for Dispersion, Attenuation, and Velocity Imprecision; #90187 (2014)
Andrew V. Barrett
Search and Discovery.com
... frequencies appear to propagate at the velocity of the asymptotic high frequency. If we know the attenuation constant ‘Q’, and if the model for attenuation...
2014
Abstracts: The Reflectivity Response of Multiple Fractures and its Implications for Azimuthal AVO Inversion; #90173 (2015)
Olivia Collet, Benjamin Roure, Jon Downton
Search and Discovery.com
... studying various rock physics models in order to model the impact of multiple fractures on the elastic parameters of an isotropic medium. Then, we...
2015
Abstract: Fault System Delineation Driven by New Technology in Tazhong Karsted Carbonate Reservoirs; #91204 (2023)
Yanming Tong, Xingliang Deng, Chuan Wu, Shiti Cui, Pin Yang, Chunguang Shen, Gaige Wang, Jiangyong Wu, Chenqing Tan
Search and Discovery.com
... the technology of an “end-to-end convolutional neural network (CNN)” to efficiently detect faults from 3D seismic images. In this machine learning...
2023
Adaptive Eigenstructure Classification and Stochastic Decorrelation Filters for Coherent Interference Suppression in the Acoustic Zoom Method, #41503 (2014).
J. Guigne, S. Azad, C. Clements, A. Gogacz, W. Hunt, A. Pant, J. Stacey
Search and Discovery.com
..., thereby casting the imaging problem into a non-convolutional form. Adaptive processing allows the AZ method to include more realistic models of propagating...
2014