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EN
Digital subsurface mapping on a wide scale started in Poland at the beginning of the 1990s. A team of the Department of Fossil Fuels was engaged in this activity from its beginning. In the first stage simple techniques were based on digitalization of archival maps, which gradually were replaced by development of local and regional maps based on 2D grids. In that period the most significant achievements of the team were Geothermal Atlases of the Polish Lowlands. After 2006, 3D grid-based techniques, comprising static structural and parametric models, gradually replaced the 2D grid-based techniques. They were used in completion of the 3D grid-based models lying behind the maps presented in Geothermal Atlases of the western part of the Polish Carpathians, the Carpathian Foredeep and the eastern part of the Polish Carpathians. According to the world trends in the field of petroleum geology, quantitative petroleum resources assessments were carried out using 2D, 2.5 and 3D grid-based generation, migration and expulsion models. At the same time, numerous 3D static models for CCS purposed were developed. At present, our research moves toward better data integration, uncertainty assessment and 4D modelling for petroleum geology (especially unconventional hydrocarbons), geothermal resources and CCS purposes.
2
Content available remote Comparison of non-linear palette usage for gamma-ray tomography imaging
EN
Gamma-ray tomography is used for non-invasive studying of objects. To enable correct interpretation of such measurements, they need to be presented in analysis-friendly way. One method is to use ILST (Iterative Least Squares Technique) algorithm to visualize 1D detector data on a 2D grid, so that gammaray attenuation is visible with a resemblance to cross-section structure. However algorithm imperfections and thresholding do not always allow inferring shapes of the structure correctly. To remedy this, the analyses of the whole range of reconstructed values are to be used with a non-linear transformation function to visualize and emphasize density gradient.
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