@Article{IbanezAlmeMira:2016:AnSRDa,
author = "Ibanez, Delano M. and Almeida Filho, Raimundo and Miranda,
Fernando Pelon de",
affiliation = "Petrobras Research and Development Center (CENPES), Cidade
Universit{\'a}ria, Ilha do Fund{\~a}o, Av. Hor{\'a}cio Macedo,
950, Rio de Janeiro, Brazil and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and Petrobras Research and Development Center
(CENPES), Cidade Universit{\'a}ria, Ilha do Fund{\~a}o, Av.
Hor{\'a}cio Macedo, 950, Rio de Janeiro, Brazil",
title = "Analysis of SRTM data as an aid to hydrocarbon exploration in a
frontier area of the Amazonas Sedimentary Basin, northern Brazil",
journal = "Marine and Petroleum Geology",
year = "2016",
volume = "73",
pages = "528--538",
month = "May",
keywords = ": Environmental impact, Geological surveys, Hydrocarbons, Image
reconstruction, Remote sensing, Sedimentology, Seismic
prospecting, Settling tanks, Surveying, Tracking radar, Amazonas
basin, Digital elevation model, Hydrocarbon exploration,
Morphostructural analysis, Petroleum exploration, Shuttle radar
topography mission, SRTM DEM, Topographic information, Petroleum
prospecting, digital elevation model, drainage network,
hydrocarbon exploration, morphostructure, remote sensing,
sedimentary basin, Shuttle Radar Topography Mission, Amazonas
[Brazil], Brazil FUNDING DETAILS: JAXA, Japan Aerospace
Exploration Agency.",
abstract = "The Shuttle Radar Topography Mission (SRTM) provided an
unprecedented source of space-borne topographic information that
has shown to be of particular interest for studies in densely
vegetated tropical areas, such as Central Amazonia. The digital
elevation models produced in that region show subtle details of
the terrain that usually appear blurred in conventional remote
sensing images. Interpretation of an SRTM-derived drainage network
and geomorphometric features revealed several drainage anomalies,
which are possibly the surface expression of buried
morphostructural features. Integration with geological and
geophysical ancillary data strongly suggested that interpreted
features constitute potential structural sites for hydrocarbon
exploration. However, due to their inferred nature, the structures
herein identified are not by themselves a justification for
drilling. However, they do provide information for planning
seismic surveys, thus reducing costs of the exploration campaigns,
as well as minimizing potential environmental impacts of such an
enterprise in areas of tropical rain forests. Despite the
relatively small size of the study area, it is expected that
procedures presented in this paper can be successfully applied
throughout the approximately 1,000,000 km2 of sedimentary basins
in the Brazilian Amazonian region.",
doi = "10.1016/j.marpetgeo.2016.03.024",
url = "http://dx.doi.org/10.1016/j.marpetgeo.2016.03.024",
issn = "0264-8172",
language = "en",
targetfile = "ibanez_analysis.pdf",
urlaccessdate = "03 jun. 2024"
}