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The AAPG/Datapages Combined Publications Database
Showing 324 Results. Searched 195,372 documents.
Multichannel seismic deconvolution via 2D K-SVD and convolutional sparse coding
Guiqian Zhang, Xiayu Gao, Bangli Zou, Yaojun Wang, Yingzhu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... to the deconvolution objective function in the form of regularization. Frequency Decomposition of Seismic Profile According to the convolutional model...
2023
Abstract: Reflectivity Color Correction in Gabor Deconvolution; #90211 (2015)
Carlos Montana and Gary Margrave
Search and Discovery.com
.... In contrast with the stationary convolutional model, which can be formulated in a simple way either in the time or the frequency domain...
2015
Automated detection of ferromagnetic pipelines from magnetic total-field anomaly data using convolutional neural networks
Brett Bernstein, Yaoguo Li, Richard Hammack
International Meeting for Applied Geoscience and Energy (IMAGE)
...Automated detection of ferromagnetic pipelines from magnetic total-field anomaly data using convolutional neural networks Brett Bernstein, Yaoguo Li...
2023
ABSTRACT: Shaping the Wavelet, by Wang, Yuchun E.; Huo, Shoudong; #90141 (2012)
Search and Discovery.com
2012
Bayesian variational auto-encoder for seismic wavelet extraction
Ammar Ghanim, Ricard Durall, Norman Ettrich
International Meeting for Applied Geoscience and Energy (IMAGE)
...-shift. b) using a model trained with time- and frequency-domain loss. c) using the same model as above, but with noise superimposed on the input. a) b...
2023
Seismic simulations of experimental strata
Lincoln Pratson, Wences Gouveia
AAPG Bulletin
.... These reflection coefficients are then converted from the depth to the time domain using the model velocities. Note that the convolutional model is one...
2002
Automated velocity model building using Fourier neural operators
Guanghui Huang, Sean Crawley, Ramzi Djebbi, Jaime Ramos-Martinez, Nizar Chemingui
International Meeting for Applied Geoscience and Energy (IMAGE)
... efficiently computed in the Fourier domain. We show the advantages of using global FNOs over conventional convolutional neural networks (CNN), to achieve...
2023
ABSTRACT: Selected Topics in Seismic Dispersion
Christopher L. Liner
Houston Geological Society Bulletin
..., reflection and transmission coefficients, head waves, etc. The convolutional reflection models we use to model thick and thin bed thin response...
2012
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
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
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
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
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
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
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
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
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
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
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
ABSTRACT: Quantitative Integration of 4D Seismic for Field Development; #90007 (2002)
Garnham, Gail Riekie, Malu Jensen, Liz Pointing
Search and Discovery.com
... wavelet with a slighlty different frequency content to the Ricker 30 HZ. The results suggest that for the given Nelson reservoir model properties...
Unknown
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
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
Multi-realization seismic data processing with deep variational preconditioners
Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... at the available traces. The modelling operator combines the up- and down-going fields in the frequency-wavenumber domain to produce the total pressure...
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