FAQs
Q: Can you work where there is no vegetation -e.g. in the desert?
Yes - we have done very successful survey work in desert regions -both over sandy and rocky deserts. Typically the changed oxidation status of the cements and surface coatings of the sand/salt grains and surface hard grounds cause changes in the spectral brightness. These are identifiable on RSDD-H images over prospective reservoirs.
Q: Does it make a difference how tall the vegetation is?
No, our technology is effective in tall forest stands, shrub lands, as well as arable farmlands. However, each different ecosystem/land use terrain requires a specific set of processing algorithms
Q: Which type of vegetation is best to work with?
There is no particular vegetation that we prefer to work with - we have experience in the full range of primary ecosystems from the high arctic to the tropical jungles!
Q: Can you work over the sea?
Not at the present time.
Q: Do you have to go on to the ground and take samples to verify your results?
No - in the development stage of this technology, scientists surveyed many different ecosystems, taking soil and vegetation samples to analyse. The results were then compared with the results of the satellite imagery processing. A large data base was developed so now it is not necessary to take field samples.
Q: What software do you use in your processing?
This is a proprietary package developed specifically by our company over a number of years. We are of course familiar with commercial packages such as ENVI and ERMapper.
Q: Can you tell how deep the reservoir is?
Deep sourced anomalies typically generate intense, strong anomalous responses with crisp boundaries. Shallower plays produce weaker anomalous responses, diffuse texture and poor boundary conditions.
Q: Do you see Oil seeps more clearly than sub surface reservoirs?
Oil seeps generally appear as small localised features in comparison to the larger anomalies produced by the sub surface accumulations.
Q: Can you tell the difference between oil and gas reservoirs?
Not from the satellite images alone, but by interpreting our results in the context of the regional petroleum geology we can predict which is more probable.
