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Keywords: synthetic data
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Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3580914
... entropy sparse manual bgp inc supervised method shifan zhan supervised learning method fault detection exploration geophysicist 10 china national petroleum corporation summary training process field seismic data us government chunfeng tao training data fault label synthetic data...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583348
... Supervised learning-based seismic data processing has difficulty transferring synthetic data learning to real data applications. We report a distribution analysis method to build training datasets for the target field data, without modifying the network, and only a small volume of data is needed...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583403
... characterization misfit measurement inversion blondel artificial intelligence waveform inversion differentiable dynamic time gradient derivative dtw distance upstream oil & gas geophysics algorithm differentiable dtw distance adjoint source synthetic data Mis t functions based...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584041
... deep learning applied geoscience truth primary geophysics adaptive subtraction subtraction original full wavefield synthetic data u-net ground truth dl-based adaptive subtraction verschuur exploration geophysicist 10 synthetic primary label Deep learning-based seismic surface-related...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594244
... anomaly is resolved at the near-surface. With the inverted VS and QS models, the synthetic data match with the observed data closely in both amplitude and phase. INTRODUCTION Figure 1: (a) Geometry of collected DAS data adapted from Lawton et al. (2017). The red dots are the source points, the black line...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594524
... we pretrain with synthetic data and then use transfer learning; (3) it is more complete because we estimate uncertainties in the picking using random dropout. These improvements make the picking algorithm more mature technically. reservoir characterization upstream oil & gas us government...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594800
... extensions are warping function as the extension in the data space. This preferable because they avoid increasing the computational function dynamically transports the recorded data to the cost, in contrast to those model extension-based approaches synthetic data and is imposed to represent the actual...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3578561
... elimination synthetic data Surface-related multiple elimination through orthogonal encoding in the latent space of convolutional autoencoder Oleg Ovcharenko*, Anatoly Baumstein, and Erik Neumann, ExxonMobil Upstream Research Company Summary The abstract is organized as follows. First, we explain the We...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3577774
... an accurate initial model that predict the synthetic data with half-wavelet accuracy might be problematic due to the sparsity of the ocean-bottom nodes, solutions can be found from full-waveform inversion schemes based on alternative misfit functions. The recently developed graph-space optimal transport...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579442
... in field data might be addressed in a data-driven framework. In particular, deep learning models trained on synthetic data could be used for inference on the field data. Such an implementation of switching application domains remains challenging. We, therefore, propose the concept of generative dual-band...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426967
... reservoir characterization image-domain least-square reverse-time migration exploration geophysicist 10 regularization artificial intelligence migration seg international exposition artifact synthetic data psf velocity model hessian reflectivity model upstream oil & gas lsm...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426983
... on estimating the layer properties for each layer by matching the dispersion spectra of seismic and model-predicted synthetic data through genetic algorithm in surface-wave inversion has successfully been used. For computationally reasons, fixed quality factors have been used in the inversion process (Bai...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427887
... to both tasks with the only difference that the same deep neural network architecture is trained on different synthetic data sets specific to the task at hand. In the case of trim statics our synthetic data models the conversion of Common Depth Point (CDP) gathers to CDP gathers with aligned primary...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428107
... produce the output almost in real-time. Therefore, it can be used by grid-search type approaches to focus the grid search over the smaller volume provided by the ConvNet. In this study we train ConvNets with synthetic data and apply them to field data. To our knowledge this is the first attempt...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427610
... We propose a multi-channel dynamic matching fullwaveform inversion (DMFWI) for a high-resolution velocity-model update, which focuses on solving kinematic difference between input data and synthetic data. With the data residual calculated in localized windows in time and space, DMFWI provides...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428292
... Realistic synthetic data from the SEAM-Barrett model offers an approach to measure the reliability of the complex multi-step procedure of going from seismic field acquisition to reservoir characterization. An important part of the multi-step procedure is accurate seismic processing to preserve...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-W13-04
... result seg international exposition algorithm synthetic data correlation coefficient prediction accuracy porosity prediction Porosity prediction using machine learning Lian Jiang* and John P. Castagna, Department of Earth and Atmospheric Sciences, University of Houston; Brian Russell, CGG...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426516
... concatenation expanded abstract seg international exposition convolutional neural network exploration geophysicist 10 loss function interpretation fault detection probability image unet model synthetic data Seismic fault detection based on 3D Unet++ model Dun Yang, Yufei Cai, Guangmin Hu, Xingmiao...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428206
... PM Presentation Time: 3:30 PM Location: 360A Presentation Type: Oral modeling rock property seg international exposition upstream oil & gas subsurface receiver permafrost eastern siberia elastic data exploration geophysicist 10 dataset sediment synthetic data reservoir...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428324
... vertical profiles to simplify the training phase and to make it easier to utilize well logs in future applications. We train the CNN using a total of one hundred thousand random subsurface models generated on-the-fly and the corresponding synthetic data. The application of the trained CNN on synthetic...

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