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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,673 documents.
Deep neural networks for 1D impedance inversion
Vladimir Puzyrev, Anton Egorov, Anastasia Pirogova, Chris Elders, Claus Otto
Petroleum Exploration Society of Australia (PESA)
... such as the 160-layer velocity model used as an example in this study require large synthetic datasets for training, which are not always possible...
2019
Time-lapse full-waveform inversion by model order reduction using radial basis function
Haipeng Li, Robert G. Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
...Time-lapse full-waveform inversion by model order reduction using radial basis function Haipeng Li, Robert G. Clapp Time-lapse full-waveform...
2024
Mitigating elastic effects of acoustic full-waveform inversion with deep learning and application to field data
Dimitri Voytan, Adriano Gomes, Debanjan Datta, Ren-douard Plessix, Anu Chandran, Ken Matson
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional network approach presented by Li et al. (2019) to a realistic 3D synthetic velocity model under a narrow-azimuth marine streamer acquisition...
2022
Demultiple for Wide-Tow Broadband Acquisition in a Shallow Water Environment: A Case Study from the NW Shelf, Australia
Mike Hartley, Shuo Ji, Alex Browne
Petroleum Exploration Society of Australia (PESA)
... in shallow water, especially for outer cables. Rcvr depth(m) Shot: channel Frequency(Hz) Time (sec) Model base water-layer demultiple predicts...
2016
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
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
...) and to whiten the frequency spectrum so that all phases are uniformly distributed. If all the in-phase amplitudes of reverberation are the same...
2014
Advanced digital tools for passive seismic monitoring of a heavy oil field at Cold Lake, Alberta, Canada
Adarsh Kumar Gupta, Stefano Scaini, Ravi Singh, Simona Costin, Colin Brisco, Raj Janakkumar Bhutwala, Shelly Dutta, Monomita Chattopadhyay, Divyanshu Yadav, Taylor Fink
International Meeting for Applied Geoscience and Energy (IMAGE)
... utilizes features from the time series and the frequency domain. The developed HYE model utilizes the random forest method and hyperparameter tuning...
2024
Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning
Fan Jiang, Konstantin Osypov
International Meeting for Applied Geoscience and Energy (IMAGE)
... of seismic exploration, combining multiple stacks, e.g. multi-angle, multi-azimuth, multi-frequency, of seismic data is becoming more and more common...
2024
Simulating seismic data using generative adversarial networks
Bradley C. Wallet, Eyad Aljishi, Hussain Alfayez
International Meeting for Applied Geoscience and Energy (IMAGE)
... International Conference on Machine Learning, 70, 214–223. Chellapilla, K., S. Puri, and P. Simard, 2006, High performance convolutional neural...
2022
Self-supervised learning for seismic swell noise removal
Yuan Zi, Shirui Wang, Pengyu Yuan, Xuqing Wu, Jiefu Chen, Zhu Han
International Meeting for Applied Geoscience and Energy (IMAGE)
... on priors. Two priors in the frequency domain are introduced to the training Second International Meeting for Applied Geoscience & Energy...
2022
Source location using physics-informed neural networks with hard constraints
Xinquan Huang, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...) as: The frequency domain wavefield in a 2D acoustic, constant density and isotropic medium, u(x, z, w), satisfies the following equation: L = w2 u(x, z, w) + —u(x...
2022
Research and application of Intelligent high resolution processing method based on ISTA-Net
Huahui Zeng, Qin Su, Sanyi Yuan, Lide Wang, Yanwu Xu, Huijie Meng, Deying Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... frequency, and the thin thickness and strong heterogeneity of dolomite reservoir, high-resolution imaging and fine prediction of thin reservoir...
2024
Inference of Induced Fracture Geometries Using Fiber-Optic Distributed Strain Sensing in Hydraulic Fracture Test Site 2
Stephen Bourne, Kees Hindriks, Alexei A. Savitski, Gustavo A. Ugueto, Magdalena Wojtaszek
Unconventional Resources Technology Conference (URTEC)
... ℒ̇w = ℒ̇ij 𝑛 𝑖 𝑛 𝑗 , (9) The convolutional model for DSS, εw or ε̇ w, due to the proximal fracture aperture field, 𝑎, may then be wr...
2021
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
Deep carbonate reservoir characterization with unsupervised machine-learning approaches
Xuanying Zhu, Luanxiao Zhao, Xiangyuan Zhao, Yuchun You, Minghui Xu, Tengfei Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... (PCA), T-distributed Stochastic Neighbor Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP), and Convolutional Autoencoder (CAE...
2023
A prior regularized 3D full-waveform inversion using 2D generative diffusion models
Fu Wang, Tariq Alkhalifah, Xinquan Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of low-frequency data allows for coarse grid simulation, which is much cheaper. Therefore, we resize the model size from 201[Inline] ◊ 201[Crossline...
2024
Unsupervised compensation of spiral-shaped drone magnetic survey using a recurrent convolutional autoencoder
Brett Bernstein, Yaoguo Li, Richard Hammack, Colton Kohnke
International Meeting for Applied Geoscience and Energy (IMAGE)
...Unsupervised compensation of spiral-shaped drone magnetic survey using a recurrent convolutional autoencoder Brett Bernstein, Yaoguo Li, Richard...
2024
Lithology and Fluid Seismic Determination for the Acae Area, Puerto Colon Oil Field, Colombia
F. H. Gómez, J. P. Castagna
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
...), the difference in frequency between the well log and seismic data is handled by using a convolutional operator and assuming that each sample of the target log...
2004
Reliability estimation of the prediction results by 1D deep learning ATEM inversion using maximum depth of investigation
Hyeonwoo Kang, Minkyu Bang, Soon Jee Seol, Joongmoo Byun
International Meeting for Applied Geoscience and Energy (IMAGE)
... and, for the last heights, 10 m interval was used. Numerical modeling was performed in frequency domain using EM1D algorithm (Kim et al., 1997) for 35 frequencies...
2022
Seismic inversion with implicit neural representations
Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... be mathematically represented via the socalled convolutional model (Goupillaud, 1961). This entails the convolution of a source function or wavelet w...
2024
Anti-aliasing seismic data interpolation by dip-informed self-supervised learning
Shirui Wang, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... high-frequency seismic components become entwined with their low-frequency counterparts, creating artifacts that hinder subsequent processing...
2023
Leveraging self-supervised deep learning to address cross-talks in multi-parameter inversions
Wenlong Wang, Yulang Wu, Yanfei Wang, George A. McMechan
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional neural network-domain full-waveform inversion: Geophysics, 84, no. 6, R881–R896, doi: https://doi.org/10.1190/geo2018-0224.1. Wu, Y., and G...
2024
Using Second-Order Adjoint State Methods in GPUS to Quantify Resolution on Full Waveform Inversions, #42034 (2017).
Sergio Abreo, Ana Ramirez, Oscar Mauricio Reyes Torres
Search and Discovery.com
... Inversion (FWI) allows quantifying resolution of the velocity model obtained. Although there are different ways to compute approximations of the Hessian...
2017
Abstract: Fast and Accurate Impedance Inversion by Well-Log Calibration; #90171 (2013)
Igor B. Morozov and Jinfeng Ma
Search and Discovery.com
...) the convolutional equation; 2) time-depth constraints from the seismic data, 3) background low-frequency model from the logs or seismic/geological interpretation...
2013
Application of SVM machine learning high-resolution fusion inversion in stratigraphic correlation
Lyu Huaxing, Zhang Weiwei, Chen Zhaoming, Zhang Zhenbo, Liu Junyi, Xu Hao
International Meeting for Applied Geoscience and Energy (IMAGE)
... machine learning algorithm has strong fitting ability in high-dimensional space, and can obtain a complex mapping model between three frequency band...
2024