Upscaling lithology and porosity-type fractions from the micro- to the core-scale with thin-section petrography, dual-energy computed tomography, and rock typing: Creation of diagenesis and porosity-type logs

Abstract

We have developed and validated a new approach to upscale lithology and porosity-type fractions from thin sections to cores using dual energy and multiscale computed tomography (CT). A new rock-typing approach (genetic rock typing [GRT]) is proposed to upscale ⇋diagenetic mineral and diagenetic pore-type fractions, from thin sections to the core domain, eventually to create a diagenesis and porosity types logs. An extensive set of short cores from Mason County (Texas) provides a representative sample set of Late Cambrian microbial buildups and their interbuildup sediments to test the GRT approach. GRTs were defined by using a dolomite log as a proxy for diagenesis and the average percentage of dolomite from each observed depositional facies (buildup interior, buildup rind, and interbuildup sediment) as a cutoff. Dolomite, diagenetic calcite, and diagenetic porosity fractions are summed to form a diagenesis log, which captures depositional facies and the diagenetic overprint at a 0.5 mm resolution. The diagenesis log was subdivided based on the number of pore-throat size classes within each GRT and provided a framework to distribute porosity-type fractions from thin sections to log form. A high correlation coefficient is observed when the predicted extent of diagenetic alteration from the log is compared with that quantified for each thin section using image processing ([Formula: see text]). Multiscale CT imaging and dual-energy-derived logs could be directly linked to well-log photoelectric factor and bulk-density logs. This approach thus has the ability to span six orders of magnitude in resolution (500–0.0005 mm). The diagenesis log can be used to extrapolate porosity-type fractions from thin sections to logs, from which qualitative geologic interpretations can be generally translated into quantitative values.