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    EMGS and Spectrum join forces in Foz do Amazonas basin

    Company News // April 3, 2013

    EMGS and Spectrum ASA have entered into a cooperation agreement covering the Foz de Amazonas basin in Brazil.
    Spectrum already has over 21,000km of multi-client 2D seismic data coverage of this highly prospective area of the equatorial margin.

    EMGS has been given access to this data for planning and improved imaging purposes and will soon start the acquisition of 3D resistivity data in a regional, multi-client programme covering approximately 8000 km2 of the Foz de Amazonas basin.

    The programme, which has generated broad industry interest, covers offshore blocks that have been included in the 11th licensing round.

    “This is the first project of its kind and we are delighted to team up with Spectrum in this exciting frontier basin,” says David Hicks, president of EMGS’s multi-client business unit.

    “The combined data offering will add insights to reservoir location and size, and highlight new leads, thereby providing customers with a competitive advantage in their licensing and exploration strategies.”

    “Together, the two companies will provide the industry with a unique opportunity to use high-quality 2D seismic and 3D resistivity data at an early stage in the exploration cycle. We believe the two datasets form a powerful set of exploration tools that can reduce risk and create new opportunities,” said Richie Miller, Spectrum’s EVP multi-client North & South America.

    Interest in the Brazilian equatorial margin is high following the Zaedyus discovery north west of the border in French Guiana; Petrobras’s Pecém discovery in the Ceará basin southeast of Foz de Amazonas; and analogous discoveries in the West African equatorial margin.

    The EMGS vessel BOA Galatea will shortly start 3D EM data acquisition close to the border of French Guiana’s territorial waters and work its way south east. Survey completion is expected in August 2013.

    The deliverables include seismic-constrained 3D EM inversion cubes, interpreted lead maps and probabilistic resource estimates.


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