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7th Middle East Geosciences Conference and Exhibition
Manama, Bahrain
March 27-29, 2006
Subsurface
Data In ArcGIS
1 PDO, 113, 81, Oman, phone: +698-24677537,
[email protected]
2 PDO, Oman
The aim of this paper is to demonstrate how to manage a wide range of
subsurface
data with ArcGis software while
enabling explorers to make more efficient use of the vast amounts of available information.
Traditionally geological data was compiled in various reports with many
maps
and drawings. With large amounts of data
accumulating through time the accessibility of such data becomes more and more difficult, hampering fast reviews of such
data.
It was therefore decided to capture
subsurface
data in ArcGis, not only for easy, graphic accessibility of such data, but also
to systematically organize such data for future updates and reviews.
The goal of the
subsurface
data structure built into ArcGIS is to home all geological layers based on a project or a study
indexed by hierarchical stratigraphic codes. This hierarchical system follows the definition of Oman stratigraphy and is also
linked to corporate well databases and digital document storage. It allows an easy, graphic communication of geological.
The effort to create a geological layer structure has involved many people and a lot of intense discussions. Geologic
maps
can be extremely complex with many different types of information displayed. This provides a significant challenge when
attempting to structure this data.
The process of compilation also presents data quality issues; problems often result from field data collection to data compiled in spreadsheets, historical cad drawings, power point, hard copies and disparate databases. Such problems may include incomplete and inconsistent data, data duplications, synonyms, and ambiguous references to data, lacking referential integrity. Users are unable to quickly search or visualize data for geological reviews. All of these issues clearly point towards the necessity of utilizing a properly structured graphic interface to corporate databases to properly manage and homogenize geological data.
