A work flow similar to that of capillary pressure guides you through data corrections and quality control, curve typing (Corey and others) and data grouping. The same final goal also applies: increasing your understanding of the available data and its relationship to the study reservoir’s detail adds confidence to the dynamic model upon which so much of a company’s development strategy depends.
Increasingly, NMR laboratory measurements are being run not only to help understand the wireline log (itself now becoming part of most standard logging suites) but also for the petrophysical insight they give of themselves.
Q-SCAL allows you to load the raw time–amplitude data (XL or RiDat files) and invert the data yourself. Butler-Reeds-Dawson, Tikhonov and Maximum Entropy algorithms are implemented. Alternatively, you can load T2 or T1 data directly.
Working with groups of data you can decide cut-off strategies for log calibration, or facies typing in conjunction with log or other SCAL data.