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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
Stochastic inversion method based on a priori information of compression-sensing divided-frequency waveform indication
Ying Lin, Siyuan Chen, Guangzhi Zhang, Baoli Wang, Minmin Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... the models in different frequency bands are integrated in the frequency domain to obtain the final required elasticity parameter model. Next, we simplify...
2023
Feasibility Study Methodology for Fracture Analysis Studies Using Seismic Azimuthal Amplitude Variation: Application in Southern Mexico
Alexis Ferrer Balas, Nahum Campos, Jesus Garcia Hernandez
GCAGS Transactions
... the well from depth to time domain. Horizons in the vicinity of the well are also required. Their extent depends on the size we want to model and may...
2011
Abstract: Recovering Low Frequencies for Impedance Inversion by Frequency Domain Deconvolution; #90224 (2015)
Sina Esmaeili and Gary Frank
Search and Discovery.com
...Abstract: Recovering Low Frequencies for Impedance Inversion by Frequency Domain Deconvolution; #90224 (2015) Sina Esmaeili and Gary Frank Datapages...
2015
Abstract: Push the Limits of Seismic Resolution Using Surface Consistent Gabor Deconvolution; #90171 (2013)
Xinxiang Li and Darren P. Schmidt
Search and Discovery.com
... and the time-variant earth wavelet in a nonstationary convolutional trace model, which can be approximately factorized in the Gabor domain...
2013
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
Automating the thresholding of multi-stage iterative source separation with priors using machine learning
Nam Pham, Rajiv Kumar, Sunil Manikani, Yousif Izzeldin Kamil Amin, Phillip Bilsby, Massimiliano Vassallo, Tao Zhao
International Meeting for Applied Geoscience and Energy (IMAGE)
... be the frequency-wavenumber (FK), wavelet, or seislet domain. The iterative source separation algorithm casts the problem as an inversion and solves the basis...
2024
Increasing signal-to-noise ratio of borehole image logs using convolutional neural networks
Mustafa A. Al Ibrahim, Mokhles M. Mezghani
International Meeting for Applied Geoscience and Energy (IMAGE)
... using a convolutional neural network. Results are evaluated quantitatively and qualitatively. Finally, the model is applied on the image log...
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
Abstract: Variable-factor S-transform for Time-frequency Decomposition, Deconvolution, and Noise Attenuation; #90172 (2014)
Todor I. Todorov, Gary F. Margrave
Search and Discovery.com
... to the physical phenomena of the seismic wave propagation in the earth over the traditional stationary convolutional model. Margrave and Lamoureux...
2014
Accurate seismic data interpolation based on multiband intelligent training
Xueyi Sun, Benfeng Wang, Tongtong Mo
International Meeting for Applied Geoscience and Energy (IMAGE)
... in the frequency domain (Porsani, 1985; Spitz, 1991; Naghizadeh and MD Sacchi, 2009; Li et al., 2018). The second is the rank reduction-based...
2023
A recipe for practical iterative LSRTM with synthetic and real data examples from Brazil
Valeriy Brytik, Gopal Palacharla, Rishi Bansal, Diwi Snyder, Xu Li, Young Ho Cha, Partha Routh, Inma Dura-Gomez, Dmitriy Pavlov, Carey Marcinkovich
International Meeting for Applied Geoscience and Energy (IMAGE)
.... For a given acquisition geometry and target region of the model, the amplitude spectrum of the gradient can be expressed in the frequency domain...
2022
Coloured Seismic Inversion, a Simple, Fast and Cost Effective Way of Inverting Seismic Data: Examples from Clastic and Carbonate Reservoirs, Indonesia
Keith Maynard, Paulus Allo, Phill Houghton
Indonesian Petroleum Association
..., and although an interpretive low frequency model is not used, the technique provides a robust inversion that honours the impedance trend of available well data...
2003
Deep learning Laplace-Fourier full-waveform inversion with virtual supershot gathers
Lei Fu, Daniele Colombo, Weichang Li, Ernesto Sandoval-Curiel, Ersan Turkoglu
International Meeting for Applied Geoscience and Energy (IMAGE)
... the velocity model from seismic data organized in the virtual super gathers (VSG) in the Laplace-Fourier domain by deep learning network (DNN). The proposed new...
2022
Sparse time-frequency representation based on Unet with domain adaptation
Yuxin Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Jinghuai Gao, Xiudi Jiang
International Meeting for Applied Geoscience and Energy (IMAGE)
... propose the sparse time-frequency representation (STFR) based on Unet with domain adaptation (STFR-UDA) model for solving these issues. First, we...
2022
Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data
Gui Chen, Yang Liu, Haoran Zhang, Mi Zhang, Yuhang Sun
International Meeting for Applied Geoscience and Energy (IMAGE)
...Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data Gui Chen, Yang Liu, Haoran Zhang, Mi Zhang, Yuhang Sun...
2024
Identification of vehicles from seismic signals using machine learning
Xiaoxuan Zhu, Ji Zhang, Jie Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... to record seismic signals generated by passing vehicles. We then conduct analyses in the time domain to roughly categorize traffic vehicles into three...
2023
Deep learning seismic full-waveform inversion and transient EM joint inversion for near surface velocity modeling
Daniele Colombo, Ernesto Sandoval-Curiel, Ersan Turkoglu, Weichang Li
International Meeting for Applied Geoscience and Energy (IMAGE)
...rg/10.1111/j.1365-246X.1989.tb00521.x. Brossier, R., S. Operto, and J. Virieux, 2009, Seismic imaging of complex onshore structures by 2D elastic frequency-domain fu...
2022
Abstract: Short-time Wavelet Estimation in the Homomorphic Domain; #90174 (2014)
Roberto H. Herrera and Mirko van der Baan
Search and Discovery.com
... phases in both the wavelet and the reflectivity. Theory The seismic signal is described by the convolutional model (Ulrych, 1971): s(t) = w(t) ⋆ r...
2014
Geobody-oriented interpretable velocity fusion modeling in depth domain with seismic facies informed segmentation method
Meng Li, Qingcai Zeng, Hao Shou, Nan Qin, Chunming Wang, Tongsheng Zeng
International Meeting for Applied Geoscience and Energy (IMAGE)
... modeling and combines it with seismic inversion to improve the resolution of velocity model in depth domain. This work is based on the assumption...
2023
Convolution model theory-based intelligent AVO inversion method for VTI media
Yuhang Sun, Yang Liu, Hongli Dong
International Meeting for Applied Geoscience and Energy (IMAGE)
... network technology and propose an intelligent seismic AVO inversion method founded on the convolutional model theory. The proposed method formulates...
2023
Physics-based preconditioned multidimensional deconvolution in the time domain
David Vargas, Ivan Vasconcelos, Matteo Ravasi, Nick Luiken
International Meeting for Applied Geoscience and Energy (IMAGE)
... the convolutional kernel in (4) cannot be decoupled on a frequency-by-frequency basis. In the time-domain, the operator P+ is too large to be explicitly...
2022
High-resolution angle gather tomography with Fourier neural operators
Sean Crawley, Guanghui Huang, Ramzi Djebbi, Jaime Ramos, Nizar Chemingui
International Meeting for Applied Geoscience and Energy (IMAGE)
... data and field data. Additionally, migrated data already occupies the same domain as the target velocity model (plus some kind of angle/extended image...
2023
Bridging the gap: Deep learning on seismic field data with synthetic training for building Gulf of Mexico velocity models
Stuart Farris, Robert Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
...; Tarantola, 1984). However, the success of FWI is closely linked to factors like the accuracy of the starting model, the frequency range of the recorded...
2023
Filter-Bank Strategies for Efficient Computation of Radon Transforms for SNR Enhancement
Mauricio D. Sacchi
Search and Discovery.com
... and parabolic paths (for a frequency domain implementation) and linear and hyperbolic paths (for a time-variant/time domain numerical implementation...
Unknown
Filter-Bank Strategies for Efficient Computation of Radon Transforms for SNR Enhancement
Mauricio D. Sacchi
Search and Discovery.com
... and parabolic paths (for a frequency domain implementation) and linear and hyperbolic paths (for a time-variant/time domain numerical implementation...
Unknown