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The AAPG/Datapages Combined Publications Database
Showing 772 Results. Searched 200,293 documents.
Parsimonious Deconvolution
Jon F. Claerbout
Southeast Asia Petroleum Exploration Society (SEAPEX)
... the final observations yt are made. Letting* denote convolution, we have (1) X t * b t + u t = y t where everything on the left...
1980
Research on reservoir prediction based on compressed sensing and inversion theory
Qing Zhou, Jianli Wang, Qian Yu, Heng Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the reserves in the N2m formation. Method According to the convolution model, the seismic record can be expressed as the convolution of the seismic...
2022
VSP Guided Reprocessing and Inversion of Surface Seismic Data
R. Gir, Dominique Pajot, Serge Des Ligneris
Southeast Asia Petroleum Exploration Society (SEAPEX)
... of depth to that reflector. The seismogram consists of the convolution of a source wavelet, w(t), with the reflection coefficient series in the presence...
1988
Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks
Sixiu Liu, Claire Birnie, Tariq Alkhalifah, Andrey Bakulin
International Meeting for Applied Geoscience and Energy (IMAGE)
...: standard CNNs (e.g., Li et al., 2018; Richardson and Feller, 2019; Sun et al., 2020), Denoising Convolution Neural Network (DnCNN) (Yuan et al., 2021...
2022
Recognition of Subtle Features in Geologic Maps
J. E. Robinson, D. F. Merriam
CSPG Special Publications
... to be added to the standard convolution programs. Spatial Filtering Spatial filtering is a method in which a filter operator representing the sum of all...
1980
Seismic image-to-image translation using a conditional GAN with Bayesian inference
Xiaolei Song, Muhong Zhou, Petr Jilek, Rodney Johnston, Sean Cardinez, Kareem Vincent
International Meeting for Applied Geoscience and Energy (IMAGE)
... the input with trainable filters; however, the transformation goes in the opposite direction of a normal convolution (Zeiler 2010). We combine the output...
2022
Application of seismic spectral blueing based on generalized S-transform in high-quality reservoir prediction in gas cloud area
Pengzhi Zhang, Lei Liu, Zhiheng Jiang, Zhenglong Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... to the time domain, and the frequencybroadening seismic data can be obtained by convolution with the seismic trace. The frequency domain response of spectrum...
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)
... the unblended data while ππ ππππππππππππ is the deblended result. , (2) Figure 1: Denoising based convolution neural network (DnCNN...
2022
Orthorhombic AVAZ inversion in the Laplace-Fourier domain
Lin Li, Jinmiao Zhang, Guangzhi Zhang, Zhenyu Zhu, Jiajia Zhang, Chao Li, Xinpeng Pan
International Meeting for Applied Geoscience and Energy (IMAGE)
...) derivative matrix, the T denotes the transpose of a matrix. symbol The convolution of the reflection coefficients R with the wavelets can be formulated...
2022
Quantifying uncertainty in unsupervised machine learning methods for seismic facies using outcrop-derived 3D models and synthetic seismic data
Karelia La Marca, Heather Bedle, Lisa Stright, Rafael Pires de Lima, Kurt J. Marfurt
International Meeting for Applied Geoscience and Energy (IMAGE)
... (modified from Langenkamp, 2021), (b) 3D view of the synthetic seismic model obtained by the convolution of an Ormsby wavelet with 60Hz dominant...
2022
New Seismic Method in Populated Areas (A Case Study in the Surabaya Area, East Java, Indonesia)
Suyitno Patmosukismo, A. Syahbuddin, G. Alameda
Indonesian Petroleum Association
... of reflexion coefficients. ACFY(t): Autocorrelation function of the emitted sequence. The symbol * represents the convolution operator. If one...
1985
Seismic reflectivity inversion via a regularized deep image prior
Hongling Chen, Mauricio D. Sacchi, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... assist in characterizing the subsurface. By adopting the stationary convolution model, seismic reο¬ectivity inversion is posed as a multichannel deblurring...
2022
Implementation of Seismic Data Quality Characterisation Using Supervised Deep Learning
Joshua Thorp, Krista Davies, Julien Bluteau, Peter Hoiles
Australian Petroleum Production & Exploration Association (APPEA) Journal
...) using the Google Tensorο¬ow framework (Google LLC). It comprised six convolution layers plus one fully connected layer at each end. Each...
2020
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)
... structures that are a result of salt tectonics in the area, and a pseudo-3D CNN with dilated convolution is used here for salt body isolation. Figure 3d...
2022
Joint 3D inversion of gravity and magnetic data using deep learning neural networks
Nanyu Wei, Dikun Yang, Zhigang Wang, Yao Lu
International Meeting for Applied Geoscience and Energy (IMAGE)
... take place at any stages of convolution, as long as the block sizes becomes the same (Figure 1b). In our work, we merge the branches at the end...
2022
Deep learning decomposition for null and active space estimation for thin-bed reflectivity inversion
Kristian Torres, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolution via simple matrix-times-vector multiplication. The sought vector of model parameters m is the reflectivity, and d contains the seismic traces...
2022
Geostatistical inversion method based on seismic waveform similarity
Xuebin Ni, Jiajia Zhang, Guangzhi Zhang, Baoli Wang, Ying Lin, Zhuofan Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
... is 1400-1800 ms and the data sampling interval is 1 ms. We use the convolution model to obtain synthetic data (Figure 1b), in which the dominant frequency...
2023
Value of elastic full-wavefield inversion in derisking clastic reservoirs in presence of noise
Partha Routh, Soumya Nayak, Jake Dorsett, Kaushik Banerji, Young Ho Cha, Vijay Gottumukkula, Gopal Palacharla, Vikas Gudipati, Ramesh (Neelsh) Neelamani, Seth Conway, Andrea Raphael
International Meeting for Applied Geoscience and Energy (IMAGE)
..., such that convolution modeling can be applied in a local window where the wavelet is stationary. If the processing can attenuate non-primary noises...
2023
Can tile low-rank compression live up to expectations? An application to 3D multidimensional deconvolution
Yuxi Hong, Matteo Ravasi, Hatem Ltaief, David Keyes
International Meeting for Applied Geoscience and Energy (IMAGE)
... Low-Rank Matrix Vector Multiplication (TLR-MVM) is then introduced to speed up the Multi-Dimensional Convolution (MDC) operator that lies at the core...
2023
Upside down Rayleigh-Marchenko imaging: Towards a practical exact redatuming scheme for ocean bottom acquisitions
Ning Wang, Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
...-dimensional convolution operator with particle velocity wavefield along the z-axis at the ΞR level. This means that the RM method needs a dense...
2023
Probabilistic seismic interpolation with the implicit prior of a deep denoiser
Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... of a convolution, pΟ (y) can be interpreted as a Gaussian-blurred version of p(x), with the level of blurring gΟ (x) being directly proportional...
2023
Fast viscoacoustic forward modeling method based on U-net Fourier neural operator
Wenbin Tian, Yang Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning approach by incorporating physical information into the structure of the convolution layer. This yields a deep learning architecture...
2023
Fault MLReal: A fault delineation study for the Decatur CO2 field data using neural network predicted passive seismic locations
Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... and β€ the convolution operator. The MLReal process involves synthetic data crosscorrelation with a reference trace, aligning events at the zerolag...
2023
PP-PS depth-domain AVA inversion
Maud Cavalca, Robin P. Fletcher
International Meeting for Applied Geoscience and Energy (IMAGE)
... images in the time domain through convolution of the reflectivity with 1D wavelets, the above system accounts for illumination effects through...
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)
... convolution modeling and does not involve 3D wave equation simulations. This approach is suitable for postmigration challenges where seismic events...
2023