1887

Abstract

Summary

Different processing architectures has been used in a joint effort between industry and academy. FPGA were tested as an alternative for computing seismic images on large datasets. From 2013–2017 a collaborative team was established with regional Universities of Colombia, Colciencias (Colombian Agency for Science and Technology) and Ecopetrol, to achieve the common goal of generating in-depth high definition seismic images of complex areas (FWI and RTM methods). Special focus on GPU implementation was given to the developed codes. On the other hand, Ecopetrol uses a for its seismic processing operation a CPU cluster, that serve as benchmark for other processes. Industry professionals, professors and students from different backgrounds such as geology, mathematics, physics, geophysics and engineering converged to build local research groups in computational geophysics.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201803081
2018-09-21
2020-06-02
Loading full text...

Full text loading...

References

  1. SergioAbreo, AnaRamirez, FlorVivas, HerlingGonzalez, EdwardWiarda, RobielMartinez, Jheyston OmarSerrano, and CamiloGonzalez
    [2018]. Diving-wave FWI methodology applied to a Colombian Caribbean data set. The Leading Edge.Apr.2018, Vol. 37, No. 4, pp. 291–295.
    [Google Scholar]
  2. SergioAbreo and AnaRamirez
    [2010]. Viabilidad de acelerar la migración sísmica 2D usando un procesador específico implementado sobre un FPGA. The feasibility of speeding up 2D seismic migration using a specific processor on an FPGA. Ingeniería e investigación. 2010. 30(1), pp. 64–70.
    [Google Scholar]
  3. SergioAbreo, CarlosFajardo, WilliamSalamanca and AnaRamirez
    [2012]. Alternative Computing Platforms to Implement the Seismic Migration. New Technologies in the oil and gas industry, Intech Open. DOI: 10.5772/51234. Oct.2012.
    https://doi.org/10.5772/51234 [Google Scholar]
  4. JonathanAmado, WilliamSalamanca, Flor A.Vivas and AnaRamirez
    [2015]. A GPU implementation of the reverse time migration algorithm. 14th International Congress of the Brazilian Geophysical Society &Expogef, Rio de Janeiro, Brazil, 3-6 August, 2015.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201803081
Loading
/content/papers/10.3997/2214-4609.201803081
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error