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RESOURCE-SAVING COMPUTER TECHNOLOGY FOR OIL AND GAS EXPLORATION
Abstract
Geophysical data interpretation methods are very important for the study of the EarthпїЅs internal structure and gas and oil exploration. In this paper we offer a method to interpret gravity anomalies (identification of the local density of inhomogeneities) based on new grid algorithms: a three dimensional density distribution is constructed as grid functions by identified anomalies from the sources split along horizontal layers. Algorithm is based on new grid techniques of 3D gravity inversion. The initial approximation density model and original fast algorithms for solution of the gravity problems on large grids (with the use of parallel computer algorithms) make it possible to calculate large-scale geophysical models on a real-time basis. Volume gravity modeling method for shallow part of inhomogeneous layer with curvilinear boundaries was developed. By separating anomalies from sources in horizontal layers an informative prognosis part was extracted from the observed field. 3D density distribution for local objects was found by layer anomalies of separated field.
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