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encoders

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Journal Article
Journal: Geophysics
Published: 01 May 1982
Geophysics (1982) 47 (5): 809–818.
... correlation noise either by tapering the sweep signals or by deconvolution. The effect of tapering is limited by the strong amplitude distortion of the reflected signals; deconvolution cannot cope with such a large dynamic range in the presence of noise.The sweep signal encoding technique using complementary...
Journal Article
Journal: Geophysics
Published: 23 November 1999
Geophysics (2000) 65 (2): 426–436.
... comparable in quality to the single-shot-per-migration result, we have introduced a process called phase encoding, which shifts or disperses these crossterms. The process of phase encoding thus allows one to trade S/N ratio for the speed of migrating the entire survey. Several encoding functions and two...
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Journal Article
Journal: The Leading Edge
Published: 01 June 2018
The Leading Edge (2018) 37 (6): 471a1–471a11.
...David F. Halliday; Ian Moore Abstract Separation algorithms for marine simultaneous-source data generally require encoded sources. Proposed encoding schemes include random time delays (time dithers), periodic time sequences (such as those referred to as seismic apparition), and periodic phase...
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Journal Article
Journal: Geophysics
Published: 12 December 2017
Geophysics (2018) 83 (1): V49–V59.
...Lasse Amundsen; Fredrik Andersson; Dirk-Jan van Manen; Johan O. A. Robertsson; Kurt Eggenberger ABSTRACT Signal apparition is a method for encoding sources in simultaneous multisource seismic acquisition and decoding the multisource response of the earth into its single-source responses. For M...
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Journal Article
Journal: Geophysics
Published: 12 August 2015
Geophysics (2015) 80 (5): V133–V143.
...Moritz B. Mueller; David F. Halliday; Dirk-Jan van Manen; Johan O. A. Robertsson ABSTRACT We have developed a method for simultaneous source separation using time dithering and encoded source sequences. The source sequences are designed so that they are close to orthogonal to each other, having...
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Journal Article
Journal: Geophysics
Published: 01 October 1996
Geophysics (1996) 61 (5): 1440–1452.
...-encoded sweep is affected in the same manner by the sweep parameters and the length of the taper. If the mean phase value is computed over the bandwidth, this mean phase agrees better with the ideal encoded phase. This simple phase-encoded sweep can also be improved computationally so that its individual...
Image
Our CNN architecture for both the feature and context encoders (without weight sharing) depicted in Figure 1, comprising 14 convolutional layers and 6 residual units. The kernel size (e.g., 7 × 7 for the first convolutional layer), output channel number (e.g., 64 for the first convolutional layer), and stride (stride = 2 if specified, and stride = 1 otherwise) are specified for each 2D convolutional layer. Each encoder downsamples the input image by a factor of 8 in both height and width.
Published: 01 August 2024
Figure 2. Our CNN architecture for both the feature and context encoders (without weight sharing) depicted in Figure 1 , comprising 14 convolutional layers and 6 residual units. The kernel size (e.g., 7 × 7 for the first convolutional layer), output channel number (e.g., 64 for the first
Image
The base model architecture consists of pairwise weight-shared encoders Ei, Ej, and pairwise weight-shared decoders Di, Dj. Each encoder E encodes its corresponding input W into a concatenation of a specific feature S and a complementary feature C. Subsequently, each decoder D generates output Y˜ based on the regrouped S and C from different W instances. The network is trained to approximate the ideal outputs Yi and Yj. The ideal output Yj shares specific information (e.g., sand body configuration) with input Wi and complementary information (e.g., sand body thickness and porosity) with input Wj. Similarly, the ideal output Yi shares specific information with input Wj and complementary information with input Wi.
Published: 10 May 2024
Figure 1. The base model architecture consists of pairwise weight-shared encoders E i , E j , and pairwise weight-shared decoders D i , D j . Each encoder E encodes its corresponding input W into a concatenation of a specific feature S
Journal Article
Journal: Geophysics
Published: 27 January 2022
Geophysics (2022) 87 (2): S45–S52.
... multiples of different orders interfere with each other and crosstalk artifacts greatly degrade the quality of an image. We form a supergather by applying phase-encoding functions to image multiples and stacking several encoded controlled-order multiples. The multiples are separated into different orders...
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Journal Article
Journal: Geophysics
Published: 07 July 2021
Geophysics (2021) 86 (4): O49–O58.
... the model uncertainty in geophysical problems. Figure 1. Neural network model. The blue arrows are skip connections. The model has an encoder with four layers and two decoders with four layers each. The purple layer outputs the channel probabilities. The blue layer outputs the noise parameter σ...
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Journal Article
Journal: Geophysics
Published: 10 April 2013
Geophysics (2013) 78 (3): R125–R132.
... it very expensive for realistic 3D seismic surveys. Source-encoding waveform inversion, in which the sources are modeled simultaneously, is considerably faster than conventional waveform inversion but suffers from artifacts. These artifacts can partly be removed by assigning random weights to the source...
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Journal Article
Journal: Geophysics
Published: 03 December 2009
Geophysics (2009) 74 (6): WCC177–WCC188.
... individually. Therefore, the cost of FWI is proportional to the number of sources. We have found that the cost of FWI for fixed-spread data can be significantly reduced by applying it to data formed by encoding and summing data from individual sources. The encoding step forms a single gather from many input...
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Journal Article
Journal: Geophysics
Published: 01 January 2000
Geophysics (2000) 65 (3): 994–1002.
...John A. Dunbar; Peter M. Allen; Paul D. Higley Abstract In this paper we describe color encoding methods for combining acoustic data in widely separate spectral bands into composite displays. These new display methods better image the near-bottom interval in fine-grained depositional environments...
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Journal Article
Journal: Geophysics
Published: 01 October 1990
Geophysics (1990) 55 (10): 1389–1396.
...J. E. Womack; J. R. Cruz; H. K. Ridgon; G. M. Hoover Abstract Recent advances in vibrator electronics have made the use of encoded sweeps for multiple source point data acquisition possible in an operational setting. Alternatives to existing operational multiple source point data acquisition...
Image
A sketch of the triple-convolution block for the encoders and decoders. The terms L1, L2, and L3 are the numbers of channels of the three convolutional layers.
Published: 23 November 2021
Figure 3. A sketch of the triple-convolution block for the encoders and decoders. The terms L 1 , L 2 , and L 3 are the numbers of channels of the three convolutional layers.
Journal Article
Journal: Economic Geology
Published: 01 November 1990
Economic Geology (1990) 85 (7): 1462–1472.
Journal Article
Journal: Geophysics
Published: 16 October 2023
Geophysics (2024) 89 (1): WA67–WA83.
... based on a variational autoencoder (VAE) with a subdomain encoding scheme. Instead of encoding the entire domain of an investigation, we adopt a 1D subdomain encoding scheme to encode the 1D resistivity-depth models using a single VAE. The latent variables for the 2D model are a combination...
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Journal Article
Journal: Geophysics
Published: 23 November 2020
Geophysics (2020) 85 (6): S405–S416.
..., although it adds crosstalk noise, which seriously affects the quality of the RTM results. To avoid this problem, we have adopted a time-domain scheme that combines time-delay encoding and amplitude encoding to reduce crosstalk artifacts in simultaneous-source imaging results. This scheme modulates...
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Journal Article
Journal: Geophysics
Published: 16 October 2019
Geophysics (2019) 84 (6): B403–B417.
... of reflections is interrupted by faults and unconformities. The process of seismic horizon interpretation can be viewed as segmenting the seismic traces into different parts and each part is a unique object. Thus, we have considered the horizon interpretation as an object detection problem. We use the encoder...
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Journal Article
Journal: Geophysics
Published: 24 June 2013
Geophysics (2013) 78 (4): S233–S242.
...Wei Dai; Yunsong Huang; Gerard T. Schuster ABSTRACT The phase-encoding technique can sometimes increase the efficiency of the least-squares reverse time migration (LSRTM) by more than one order of magnitude. However, traditional random encoding functions require all the encoded shots to share...
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