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Keywords: interpolation
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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-2024-4086279
... study introduces a self-supervised deep-learning architecture to complete the interpolation method. The dataset comprises small-scale marine seismic survey data acquired from Youngil Bay, Pohang, near the East Sea of the Korean Peninsula. We randomly extract 2D planes from 3D seismic data to generate...
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-2024-4101457
... Existing 5D methods fall into two categories, surfaceconsistent and subsurface-consistent. In the first, seismic traces are interpolated or regularized into a grid of source and receiver lines. In the second, the target grid is defined by CDP bins and either offset vectors or offset/azimuth...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093468
... enhance pre-migration interpolation in obstructed zones and optimize the final subsurface image. It focuses on data acquired independently over different years using NAZ and OBN. The study underscores the benefits of using newer data to reprocess older, overlapping surveys and the advantages of leveraging...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093901
... of shallow-middle layer and the model of deep layer step-by step. Surface: the terrain distortion caused by manual measured elevation interpolation is corrected by rebuilding the dramatic ravines terrain. Thus the ray path of tomographic inversion is completely propagated under the true-surface. Shallow...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094654
... AVO information is extremely important in the pre-stack seismic data attribute analysis. This paper will introduce a new AVO-preserving data interpolation method which can recover the missing data or noisy data by using the coherent signal in the seismic gather. Orthogonal polynomial transform...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4096113
... Seismic interpolation is crucial for seismic data processing by interleaving missing traces with synthesized traces to increase spatial sampling. Recently, a deep learning-based method is developed to achieve seismic interpolation by integrating the well-trained denoising convolutional neural...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4096640
... & energy 10 reservoir characterization reconstruction exploration geophysicist geologist geological subdiscipline regularization american association onshore seismic survey tim dean receiver fresnel zone geometry interpolation anglo american steelmaking coal frequency Designing...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911408
... to the vicinity of the reflection interface, resulting in reduced structural filtering capabilities when moving away from the reflection layer. In this abstract, we propose a novel method that combines structural constraints and scattered data interpolation (SDI) to enhance RWI by incorporating geological...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910425
... geophysics acnet machine learning petroleum asia government china government china university iteration exploration geophysicist applied geoscience energy 10 international interpolation beijing bernoulli accuracy american association chen Unsupervised deep learning for seismic data...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911539
... reservoir characterization upstream oil & gas campos basin plate tectonics petroleum geology economic geology geological subdiscipline exploration geophysicist high resolution imaging american association legacy seismic acquisition interpolation applied geoscience society international...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3913209
... This study addresses two critical hurdles of deep learningbased seismic data interpolation: the significant aliasing issue due to insufficient spatial sampling and the risk of network overfitting stemming from limited availability of suitable training datasets. We highlight the difficulties...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3915640
... In this article, we propose a new deep learning network training method based on the diffusion model, which can be applied to seismic data interpolation. The core of this method lies in applying the diffusion model to generate labeled data with different levels of Gaussian random noise...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916060
... High-frequency components of seismic data play an important role in seismic exploration, which provide more refined and detailed information about subsurface structures and geological features. During the optimization of convolutional neural network (CNN)-assisted seismic data interpolation...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907270
... Under the assumption that seismic wavefields can be represented as superposition of local plane waves, we propose to interpolate seismic data utilizing a physics informed neural network (PINN) assisted by the local slope attribute. The implementation comprises two fully-connected neural networks...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3904212
... Variational Inference is then utilized to optimize the parameters of the VAE latent distribution for a given observed data and modelling operator of interest, and sample multiple realizations from the optimized parametric posterior distributions. Seismic deblending as well as joint interpolation and wavefield...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907527
... One of the major challenges in deep learning inversion is the insufficient number of well logs, which leads to a scarcity of labels that adequately capture the vertical lithology patterns and lateral variations within geological formations. Forward modeling after well log interpolation is one...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907253
... (Li et al., 2020), we further calculate the spatial coordinates of the ghost points and mirror points in true 3-D space. Then the wavefield values at the mirror points are obtained by applying the 3-D spatial iterative symmetric interpolation. Our tests have shown that the Kaiser windowed Sinc...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3909329
... interpolation on both synthetic and field data. geologist reservoir characterization realization noise realization upstream oil & gas machine learning algorithm simoncelli artificial intelligence denoiser seismic interpolation geology interpolation iteration exploration geophysicist...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3908856
... Seismic interpolation is an effective technology of reconstructing missing traces to improve the quality of seismic data. Over the past years, the deep learning methods show their powerful performance on seismic interpolation using a convolutional neural network. Recently, an unsupervised deep...

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