Integrated rock-typing approach considering petrophysics, geology and diagenesis
1. tomsk polytechnic university
Development of oil and gas field with carbonate reservoirs is quite challenging due to its high heterogeneity (diagenesis, fractures, wetting etc.). There is no universal rock-typing methodology in order to define homogeneous groups of rocks in petrophysics, geology and diagenesis. This work proposed integrated approach of rock-typing by using clustering algorithms. Based on the data of one of the carbonate reservoir 3 rock types were defined. For further development it is better to try different clustering algorithms and use data from several wells simultaneously.
Keywords: machine learning;, rock-typing, Carbonate reservoir