Intelligent predictive methods have the power to reliably estimate water saturation (Sw) compared conventional experimental commonly performed by petrphysicists. However, due nonlinearity and uncertainty in data set, prediction might not be accurate. There exist new machine learning (ML) algorithms such as gradient boosting techniques that shown significant success other disciplines yet been ex...

detailed log facies studies of miocene succession in the well rashidpur-04, rashidpur structure, surma basin were carried out by integrating wireline log and limited core sample data in order to reconstruct the paleoenvironments of deposition. based on the analysis of the log motifs, grain size, sand/shale ratio and major change in gamma ray log motifs, two major depositional sequences were ide...

Information about reservoir properties usually comes from two sources: seismic data and well logs. The former provide an indirect, low resolution image of rock velocity and density. The latter provide direct, high resolution (but laterally sparse) sampling of these and other rock parameters. An important problem in reservoir characterization is how best to combine these data sets, allowing the ...