shear and compressional wave velocities along with other petrophysical logs, are considered as upmost important data for hydrocarbon reservoirs characterization. shear wave velocity (vs) in well logging is commonly measured by some sort of dipole logging tools, which are able to acquire shear waves as well as compressional waves such as sonic scanner, dsi (dipole shear sonic imager) by schlumbe...

Abstract Natural fractures play an essential role in the characterization and modeling of hydrocarbon reservoirs. Modeling fractured reservoirs requires understanding fracture characteristics. Fractured zones can be detected by using seismic data, petrophysical logs, well tests, drilling mud loss history core description. In this study, feed-forward neural networks (FFNN), cascade feed forward ...

Seismic data and nuclear magnetic resonance (NMR) are two of the highly trustable kinds information in hydrocarbon reservoir engineering. Reservoir fluids influence elastic wave velocity also determine NMR response reservoir. The current study investigates different pore types, i.e., micro, meso, macropores’ contribution to using laboratory experiments on coal core samples under fluid saturatio...

Abstract By determining the hydraulic flow units (HFUs) in reservoir rock and examining distribution of porosity permeability variables, it is possible to identify areas with suitable quality. In conventional methods, HFUs are determined using core data. This while considering non-continuity data along well, there a great uncertainty generalizing their results entire depth reservoir. Therefore,...

Piton de la Fournaise (PdF) is a basaltic volcano whose activity characterized by effusive to mildly explosive eruptions. The geologic record preserves evidence of eruptions associated with the seaward sliding steep east flank. Such formed calderas that are several km in diameter and their products have been emplaced as breccias. breccias PdF offer opportunity sample wide range different lithol...