An interpretation method and
system for NMR echo-
train data in thinly laminated sequences. The invention uses geological information obtained at higher vertical resolution, such as using Electric
Micro Imaging, to enhance the vertical resolution of echo-
train data, and thus avoids log interpretations in which the
hydrocarbon potential of the formation can be misread because
low resolution logs tend to provide an average description of the formation. Such averaging is especially problematic in thinly laminated sequences that consist of highly permeable and porous sand
layers and less permeable
silt or essentially impermeable shale
layers. In a preferred embodiment, using the additional high-resolution formation information one can estimate the typical T2-spectra of lithological laminae, and significantly enhance the permeability estimate in the laminated sequences. In another aspect the
system and method of the preferred embodiment use neural network(s) to further enhance the resolution of a particular log measurement. The method and
system are applicable to any temporal data from other
logging tools, such as the thermal
neutron decay log and others. The system and method enable proper evaluation of the
high potential of thinly laminated formations, which may otherwise be overlooked as low permeable formations.