Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2008
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2008
License: CC BY
Data sources: Datacite
ZENODO
Article . 2008
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

seismic-py: Reading seismic data with Python

Authors: Schwehr, Kurt;

seismic-py: Reading seismic data with Python

Abstract

The field of seismic exploration of the Earth has changed dramatically over the last half a century. The Society of Exploration Geophysicists (SEG) has worked to create standards to store the vast amounts of seismic data in a way that will be portable across computer architectures. However, it has been impossible to predict the needs of the immense range of seismic data acquisition systems. As a result, vendors have had to bend the rules to accommodate the needs of new instruments and experiment types. For low level access to seismic data, there is need for a standard open source library to allow access to a wide range of vendor data files that can handle all of the variations. A new seismic software package, seismic-py, provides an infrastructure for creating and managing drivers for each particular format. Drivers can be derived from one of the known formats and altered to handle any slight variations. Alternatively drivers can be developed from scratch for formats that are very different from any previously defined format. Python has been the key to making driver development easy and efficient to implement. The goal of seismic-py is to be the base system that will power a wide range of experimentation with seismic data and at the same time provide clear documentation for the historical record of seismic data formats.

Country
United States
Related Organizations
Keywords

SEGY, Oceanography and Atmospheric Sciences and Meteorology, Python

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green