Reservoir characterisation of Middle-Late Miocene to Pliocene turbidites in Block 04-1, Nam Con Son basin, by special seismic attributes analysis
Abstract
Oil and gas stratigraphic traps become the new objects for research in Nam Con Son and Cuu Long basins after the structural traps have almost been fully mapped by 2D/3D seismic data. To define these traps, besides integrated geological-geophysical data on the studied areas (e.g.: regional tectonic evolution studies, stratigraphic analysis, core analysis, paleogeography, and paleoenvironment, etc), the analysis of special seismic attributes has been applied based on the Artificial Neural Networks (ANN) theory. The results of these studies provide better information and criteria to confirm the existence of stratigraphic traps and are very useful for assessment of the potential and reserves of oil and gas reservoirs of this type.
In general, stratigraphic reservoirs are complex and highly heterogeneous, that is why the selection of suitable seismic attributes is sometimes very difficult, especially for thin reservoirs or sedimentary environments influenced by regional tectonic activities. In this article, the authors introduce some research results on stratigraphic trap characterisation of Middle/Late Miocene - Pliocene turbidites in Block 04-1 in the Nam Con Son basin by special seismic attribute analysis based on the Artificial Neural Networks theory.
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