Results 331 to 340 of about 22,545,449 (395)

A Review of Variational Mode Decomposition in Seismic Data Analysis

Surveys in geophysics, 2022
Wei Liu, Y. Liu, Shuang Li, Yang Chen
semanticscholar   +1 more source

Improving Seismic Data Resolution With Deep Generative Networks

IEEE Geoscience and Remote Sensing Letters, 2019
Noisy traces, gaps in coverage, or irregular/inadequate trace spacing are common problems in both land and marine surveys, possibly hindering the geological interpretation of an area of interest.
Dario Augusto Borges Oliveira, R. Ferreira, Reinaldo Silva, E. V. Brazil   +3 more
semanticscholar   +1 more source

Lossless compression of seismic data

SEG Technical Program Expanded Abstracts 1996, 1996
A lossless method for seismic data compression has been developed. The method uses the idea of converting a signal data compression problem into a text compression problem. The conversion is based on data slicing, a reformatting process where the binary representation of a data set is rearranged, effectively separating compressible from uncompressible ...
Jeričević, Željko, Sitton, Gary A.
openaire   +2 more sources

Seismic Data Laboratory

1973
Abstract : The report summarizes the work done by the SDL during the period April through June 1973, and primarily concerns the seismic research activities related to the detection and identification of nuclear explosions and earthquakes. The report also contains brief discussions of the support tasks and data services which were performed for other ...
openaire   +1 more source

Seismic Data Assessment

2018
In this chapter, I presented seismic data that was made available for analysis and interpretation. This data originated from four mines: El Teniente Diablo Regimento Sector (DR Sector), Northparkes Mines Lift 2 (NPM), PT Freeport Indonesia DOZ Mine (DOZ) and Palabora Mining Company (PMC).
openaire   +1 more source

Seismic attributes on frequency‐enhanced seismic data

SEG Technical Program Expanded Abstracts 2010, 2010
Summary Seismic data are usually contaminated by both random and coherent noise, even when the data have been migrated reasonably well and are multiple-free. Seismic attributes are particularly effective at extracting subtle features from relatively noise-free data.
Satinder Chopra, Kurt J. Marfurt+, Somanath Misra   +2 more
openaire   +1 more source

Interpolating Seismic Data With Conditional Generative Adversarial Networks

IEEE Geoscience and Remote Sensing Letters, 2018
Having dense and regularly sampled data is becoming increasingly important in seismic processing. However, due to physical or financial constraints, seismic data sets can be often undersampled.
Dario Augusto Borges Oliveira, R. Ferreira, Reinaldo Silva, Emilio Vital Brazil   +3 more
semanticscholar   +1 more source

SEISMIC DATA LABORATORY

1965
Abstract : Seismic research activities leading to the detection and identification of nuclear explosions as distinguished from earthquake phenomena are discussed. Also discussed are the data services performed for other participants in the VELA UNIFORM project. (Author)
openaire   +1 more source

Seismic Reflection Data

Chinese Journal of Geophysics, 2007
AbstractA layer‐by‐layer waveform inversion method is developed to derive the velocities of a multi‐layered model. Firstly, one new concept, medium perturbation‐response, is introduced and the gradient method for waveform inversion is analysed. Essentially, waveform inversion is to extract residual structural information between the real earth and ...
openaire   +1 more source

Denoising the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on Loss Balance

IEEE Transactions on Geoscience and Remote Sensing, 2021
Xintong Dong, Yue Li
semanticscholar   +1 more source