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Keywords: reconstruction
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081840
... Five-dimensional (5D) seismic data reconstruction is a crucial step to improve seismic imaging. We introduce a deep complex-valued neural network for constructing an unsupervised frequency–space domain deep learning framework to reconstruct each frequency component of 5D seismic data. We apply...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4086279
... artificial intelligence seismic data reconstruction attention module hybrid loss function american association applied geoscience & energy 10 data interpolation exploration geophysicist neural network-based seismic data conditioning energy system engineering seismic data reconstruction...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087480
... 5D interpolation aims to recover the missing seismic traces in a 5D data volume, using all physical dimensions of seismic acquisition. Here, we develop a highly effective workflow for reconstructing highly incomplete data using deep learning (DL). The proposed method requires an ingenious data...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100715
... Conventional marine seismic surveys lack near offset information, resulting in lower-quality imaging in the shallow subsurface. We present a deep learning workflow to reconstruct near offsets, which utilizes field data collected with source-over-cable acquisition geometry as training data. First...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101297
..., we carried out the reconstruction in an unsupervised learning approach. Moreover, we physics-constrained the network by injecting the FWI gradients during the backpropagation process, leading to better reconstruction. The computational cost of the proposed approach is comparable to the traditional...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091518
... Recently, deep learning (DL) based reconstruction methods have achieved outstanding performance in seismic data reconstruction. However, most existing DL-based methods focus on the 2D seismic data. The obstacle to applying deep learning to 3D reconstruction is the lack of high-quality training...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093357
... Seismic data acquisition and reconstruction based on compressed sensing can enhance exploration efficiency and reduce costs. The acquisition of seismic data is foundational for reconstruction, where acquisition can be viewed as a sampling operator, directly impacting the quality...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093363
... proposed a new method for separating the recorded multicomponent ocean-bottom data into up-/down-going acoustic/elastic waves by using a wavefield injection and reconstruction approach. The recorded boundary values are treated as equivalent point sources, and injected into acoustic and/or elastic domains...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094020
... differentiation, characterization of hydrocarbon reservoirs, identification of directional fracture systems, and analysis of stress distribution characteristics. In the multi-component data processing workflow, the reconstruction of S-wave velocity stands as one of the crucial procedures. We expanded the Eikonal...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094852
... Full-waveform inversion (FWI) is a key technology for velocity model building in complex high-contrast environments. It can allow for more automated velocity model building, reducing the overall number of model reconstructions required in many seismic processing and imaging programs. However...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4095155
... contents between two sweeps in DSA survey, no extra processing effort is required to extract two narrow-band shot gathers without any seismic interface. Processing of two sets of narrow-band data involved data reconstruction to generate broad-band data. After data reconstruction, comparisons between main...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4096113
... network (DnCNN) into the project onto convex set (POCS) algorithm. It is flexible and applicable for different types of missing traces. However, the effectiveness of POCS algorithm is related to the denoising performance. To enhance reconstruction performance, we propose integrating a quadratic denoising...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4096640
... and receivers. In this paper we examine the idea of deployment along roads and trails and look at a methodology to evaluate the ability to reconstruct data. A new metric is proposed to evaluate the likely success of such an irregular survey. petroleum geology economic geology applied geoscience...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4098021
... characterization geologist artificial intelligence large language model applied geoscience & energy 10 encoder machine learning exploration geophysicist geology natural language architecture american association onward interpretation seismic data competition visualization reconstruction...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4098910
... separately or vice versa. We show both synthetic and real data examples to demonstrate that our proposed method is a good alternative for input data with mixed curvatures. geologist curvature reconstruction side show reservoir characterization radon transformation iteration forward...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910425
... learning (DL) methods for reconstructing missing traces in observed seismic data. While many DL-based reconstruction methods employ convolutional neural networks (CNNs) as their core components in supervised or unsupervised settings, the accuracy of CNN-based DL reconstruction methods can still be enhanced...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916825
... geoscience american association reconstruction society fk-filtering geophysics undulation energy 10 dataset Mitigating the effects of guided waves in OBN data for acoustic FWI using data reconstruction: A data example from the Yggdrasil area M. A. H. Zuberi* (TGS), E. Cho (TGS), T. Seher (TGS...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3895546
... The massive cost of 3D acquisition calls for methods to reduce the number of receivers by designing optimal receiver sampling masks. Recent studies on 2D seismic showed that maximizing the spectral gap of the subsampling mask leads to better wavefield reconstruction results. We enrich...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3898594
... preserving the 3D reconstruction quality comparable to that obtained by using the entire dataset. upstream oil & gas inversion deep learning geologist neural network geology europe government artificial intelligence ieee transaction applied geoscience reservoir characterization...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907517
... For multicomponent seismic data reconstruction, the conventional scalar reconstruction methods treat multicomponent data as independent components and recover each component separately. These component-wise approaches may destroy the polarization characteristics and relative amplitude...

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