Venezuelan Margin Database
"Venmar"
Principal Investigator: Paul Mann
Postdoctoral fellow: Alejandro Escalona
Graduate students:
Trevor Aitken (The University of Texas at Austin) and
Sonya Punch (The University of Houston)
Undergraduate student:
Lisa Watson (The University of Texas at Austin)
Funding Agency: The Petroleum Research Fund, American Chemical
Society and the Jackson school of Geosciences at The University of
Texas at Austin
Venmar
(Venezuelan margin database) consists of an integrated database
based on geographic information system (ArcGIS) and html files along
the Venezuelan-southern Caribbean margin (Fig. 1). The data will
include most of the published geologic data in the literature and
graduate thesis and dissertations. Most of the data available are
scaled and linked to each other, ready for multiple comparison
between the data and published interpretations in the region.

Figure 1. Area covered for Venmar
The database base includes seismic, well and outcrop data, in
addition to published maps and references. The structure is shown in Figure 2.

Figure 2. Venmar database structure
GIS data management of geologic and geophysical data.
We use ArcGIS as a tool to organize this large amount of data over
such a wide region. GIS allows enhances the value of isolated studies
by georeferencing them and allowing it to be displayed as “layers”.
GIS data sets can also be made available as research products at the
end of the study, allowing future workers to quickly make progress in
complex areas. (see
ESRI
for more detail.)

Figure 3. Snapshot of the GIS database.
Html data management of geologic and geophysical data.
We use html files as a tool to visualize and download the
data. The html files are linked with the GIS database for
geographic location and selection of the data. This will facilitate
the accessibility to the data and enhanced the visualization and
regional context of the data . However, the html files are built in
a way that by using any web browser in the market (i.e. Explorer,
Netscape, etc..) the data can be located , visualized and downloaded
without the use of ArcGIS.

Figure 4. Visualization and downloading of data via HTML.
Publications
Dr. Paul Mann
Dr. Alejandro Escalona
Trevor Aitken
Sonya Punch
Lisa Watson
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