seismic data

LANDMASS

This dataset was developed at the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology as part of the ongoing activities at the Center for Energy and Geo-Processing (CeGP) at Georgia Tech and KFUPM. LANDMASS stands for “LArge North-Sea Dataset of Migrated Aggregated Seismic Structures”. This dataset was extracted from the North Sea F3 block under the Creative Commons license (CC BY-SA 3.0).

Categories:: Artificial Intelligence
Computer Vision
Image Processing
Machine Learning
Geoscience and Remote Sensing
Digital signal processing

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Source Separation for Simultaneous Seismic Data Acquisition

This is the data competion hosted by the IEEE Machine Learning for Signal Processing (MLSP) Technical Committee as part of the 27th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan. This year the competion is based on a dataset kindly provided Petroleum Geo-Systems (PGS), on source separation for seismic data acquistion.

Sensors

Geo-Sensing

Signal Processing

Submitted On:

Wed, 06/14/2017 - 11:36

Last Updated On:

Tue, 05/01/2018 - 15:07

Citation Author(s):

IEEE MLSP Technical Committee