Method for determining sedimentary facies using 3d seismic data

A computer implemented method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of:

• (a) generating an attribute volume comprising at least one attribute from said 3D seismic data;
• (b) generating at least one high-definition-frequency-decomposition (HDFD) color blend volume from said 3D seismic data;
• (c) generating a datageobody volume comprising at least one geological object using data input from said attribute volume and said high-definition-frequency-decomposition (HDFD) color blend volume;
• (d) generating a facies classification model dataset for a predetermined region of interest of said 3D seismic data and applying a probabilistic algorithm to said facies classification model dataset, and utilizing data from said geobody volume and said frequency decomposition color blend volume as constraints within said at least one geological object;
• (e) selectively adjusting at least one first model parameter, so as to optimize said facies classification model dataset in accordance with a conceptual geological model, wherein said at least one first model parameter is an acceptance threshold and/or a number of predefined sub-facies;
• (f) selectively providing said facies classification model dataset in a representative property model of said region of interest of said 3D seismic data comprising a cellular frame at a resolution corresponding to the resolution of said facies classification model dataset.