The 1 st International Applied Geological Congress
Abstract
Geoscientists have long applied photographic cameras, radar, lasers, infrared (IR) scanners,
radiometers, spectrometers, microwaves, and multi spectral scanners (MSS) in the search for
hydrocarbons. With introduction of satellite remote sensing, basic techniques were then coupled with
this new technology. This produced enhanced views of the Earth’s surface. Although oil and gas
reservoirs are deep below the surface, they have some indicators, which can be detected on the
ground. To reduce the exploration costs for hydrocarbons during the reconnaissance stage of
exploration, satellite images and available surface data by combining with other current conventional
exploration techniques could be used. In recent years, geological reconnaissance has been augmented
by sophisticated terrace data-gathering techniques, which have been categorized as remote sensors.
GIS allows petroleum engineers or functional group within to communicate information and make
spatial and temporal decisions about assets, activities and natural resources. The present paper deals
with the study of two existing petroleum-rich reservoirs. The selected area contains thermally
unprocessed VNIR, SWIR and TIR ASTER images for granule of the study area covering Ab-teymur
and Darquin reservoirs. Each granule covers an area of 3600 Km2
(60 km x 60 km) of land of onshore
Iran. Besides the main geological units and the gas geological analysis within the boundary of these
granules have been studied. For this work three layers of information are considered: geology,
geochemistry and vegetation cover. The main geological units within the boundary of the granules
have been discussed for both fields. The basis of gas geochemical prospecting methods is that no oil or
gas reservoir cap rock is completely impermeable. Hydrocarbons and other compounds and elements
escape from the reservoirs and the more volatile components migrate to the surface where they may be
trapped in soils or diffuse in atmosphere or ocean. Vegetation cover within the boundaries of oil field
influenced zones was taken into consideration as an individual layer of information which will
complement the other layers of information by its corresponding statistical weight