Thurs, Feb 15, 2017 11:30am-1:00pm
Tackling the empirical and conceptual driven models for geologic and geophysical science integration to characterize the Wolfcamp reservoir system to predict future production
Jason S. Mintz, PhD, Graham Spence, Neil Peake and Rob Mayer from CGG
True geologic-geophysical integration often has both empirical and conceptual model components that tie variables at different scales, which cannot be resolved in order to predict properties that are sparsely sampled and not well understood. There are currently several projects in the Permian Basin system, at various stages of development, focused on integrating geologic and geophysical data, leading to models which characterize the Wolfcamp and Bone Springs/Spraberry reservoir systems that we will explore. The first project will investigate a conceptual model on the controlling processes on depositing particulate organic carbon through the study of core taken through the Sakmarian to Artinskian (Wolfcampian/Leonardian) Wolfcamp A and B (operational stratigraphic divisions) and Dean Formations of the Midland Basin, Reagan County, Texas. This well is in a basinal position ~40km southwest of the paleo-shelf edge at the time of deposition. As a result of the comparison between organic-richness and sedimentation rate defined by this study, we hypothesize it is unlikely that organic matter enrichment was promoted by restricted water circulation alone and that high sedimentation rates equate with the rapid burial of organic matter that reduced the duration of exposure to decay at the seabed. Carrying this conceptual depositional model into seismic studies of the Wolfcamp system would suggest that sedimentary architectures that we image and define as having high volume clay and/or carbonate attributes might be intercalated with organic-rich reservoir rock that is below seismic resolution. These sedimentary bodies with relatively increased sediment volume emplacement rates may concentrate higher on average TOC creating perspective drilling targets, which contradict existing published depositional models.
With our depositional model in mind, we will then take a look at a detailed geologic, petrophysical and geophysical integrated workflow that has produced both Deterministic and Geostatistical Inversions in the Delaware Basin to allow us to begin mapping and interpreting calibrated seismic attributes. We will present findings from a study that integrated data outputs from the quantification of mineralogy, textural and elastic properties of cuttings from SEM-EDS analysis (Roqscan™) and petrophysical wireline analysis into a geostatistical seismic inversion. We compare seismically generated rock attributes from wells in the survey, to assess our ability to resolve salient properties. The results of a discrete fracture network will be shown and used along with other seismic inputs as geologic constraints to develop production models.