Global Scan Technologies, Dubai, uae
This paper describes about the Structurometric Analysis, which was born many decades ago as one of a variety of geomorphological techniques for studying aerospace images of the Earth’s surface. Since 1997, the technology has yielded satisfactory results. Its use reduces geological exploration costs by some 50 per cent
Global Scan Technologies, Dubai, UAE and Geoinformational Research Centre, Geneva, Switzerland employ a Russian high-tech package that makes it possible to effectively optimize geological exploration for various mineral resources. The basis of these technologies consists of using sophisticated mathematical techniques to process geological materials, combined with the thematic processing of recent Remote Earth Sensing (RES) data that make it possible – when specialized software is brought into play – to precisely identify promising areas for the organization of geological exploration work. The (RES) processing experience currently available, together with the present level of development of mathematical techniques that take the form of firmware systems based on fifth-generation computers, makes it possible to isolate a special class of information from the overall body of data – geoinformation anomalies (GIAs).
An anomaly of this type quite fully reflects the structure and specific features of the geographic mantle of a given region. A more detailed RES study led to the conclusion that the energy, which plays an active part in the transformation of the Earth’s crust is manifested in the formation of GIAs. Since the effects of this energy take shape over a quite lengthy period of time (millions of years), the structure of a GIA has a fairly high level of resistance to exogenous influences.
When certain prior information is available, the techniques used to solve inverse problems in mathematical physics make it possible to reconstruct the underlying structure of a GIA with a high degree of probability.
Thus, the basis of the subject technology for detecting and calculating reserves of mineral resources (both metalliferous and non-metalliferous) consists of using unique mathematical techniques to process (interpret) traces of the influence that the Earth’s core exerts on its surface. This analysis (prediction) is performed during the processing of satellite and aerial photographs, and is called the Structure Measurement Technique (Structurometric Analysis) for the prediction of mineral raw materials. This technique makes it possible to enhance the effectiveness of exploratory drilling, to construct a detailed geological model, and to calculate field reserves.
Structurometric analysis was born many decades ago as one of a variety of geomorphological techniques for studying aerospace images of the Earth’s surface. A team of scientists from the M V Lomonosov Moscow State University developed an original series of algorithms for the structurometric analysis of multispectral satellite data in order to facilitate the prospecting and exploration of oil, gas, and other mineral resource deposits, as well as the comprehensive assessment of fields. This technique makes it possible to use not only direct interpretive indications that are known beforehand, or that are detected over the course of purposeful research, but also indirect indications of hydrocarbon pools that are detected on the basis of computer-aided analysis.
Components of the technique
The basis of the structure measurement technique (like other geomorphological techniques) consists of detecting traces of the influence that the mineral resources occurring within the body of the Earth exert on the terrestrial surface and Earth’s gravity field. Over the many millions of years that have passed since the time that hydrocarbon pools were formed, low-power waves, apparently acoustic in nature, have continuously exerted a relentless influence, which has resulted in the substantial rearrangement of terrestrial landscapes via the creation of billions of central-type formations on the Earth’s surface. In scientific literature, these formations have come to be called ‘ring structures’.