FLUVIAL ARCHITECTURE OF THE BURRO CANYON FORMATION USING UAV-BASED PHOTOGRAMMETRY - IMPLICATIONS FOR RESERVOIR PERFORMANCE, ESCALANTE CANYON, SOUTHWESTERN PICEANCE BASIN, COLORADO

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dc.contributor.advisorPranter, Matthew
dc.contributor.authorClark, Sarah
dc.contributor.committeeMemberCole, Rex
dc.contributor.committeeMemberPigott, John
dc.date.accessioned2018-05-16T15:51:52Z
dc.date.available2018-05-16T15:51:52Z
dc.date.issued2018
dc.date.manuscript2018
dc.description.abstractThe Cretaceous Burro Canyon Formation in the southern Piceance Basin, Colorado represents low-sinuosity to sinuous braided fluvial deposits that consist of amalgamated channel complexes, amalgamated and isolated fluvial-bar channel fills, and floodplain deposits. Lithofacies primarily include granule-cobble conglomerates, conglomeratic sandstones, cross-stratified sandstones, upward-fining sandstones, and gray-green mudstones. To assess the effects of variable sandstone-body geometry and internal lithofacies and petrophysical heterogeneity on reservoir performance, conventional field methods are combined with unmanned-aerial-vehicle- (UAV-) based photogrammetry to create representative outcrop-based reservoir models. Outcrop reservoir models and fluid-flow simulations compare three reservoir scenarios of the Burro Canyon Formation based on stratigraphic variability, sandstone-body geometry, and lithofacies heterogeneity. Simulation results show that lithofacies variability can account for almost 50% variation in breakthrough time. Internal channel-bounding surfaces reduce breakthrough time by 2%, volumetric sweep efficiency by 8%, and recovery efficiency by 10%. Three lateral grid resolutions and two permeability-upscaling methods for each reservoir scenario are explored in fluid-flow simulations to investigate how upscaling impacts reservoir performance. Results show that coarsely resolved grids experience delayed breakthrough by as much as 40% and greater volumetric sweep efficiency by an average of 10%. Permeability models that are upscaled using a geometric mean preserve slightly higher values than those using a harmonic mean. For upscaling based on a geometric mean, breakthrough times are delayed by an average of 17% and volumetric sweep efficiency is reduced by as much as 10%. Results of the study highlight the importance of properly incorporating stratigraphic details into 3-D reservoir models and preserving those details through proper upscaling methods.en_US
dc.identifier.urihttps://hdl.handle.net/11244/299933
dc.languageen_USen_US
dc.subjectFluvial Faciesen_US
dc.subjectSedimentology and Stratigraphyen_US
dc.subjectOutcrop Interpretationen_US
dc.subjectReservoir Charagcterizationen_US
dc.subjectReservoir Modelingen_US
dc.thesis.degreeMaster of Scienceen_US
dc.titleFLUVIAL ARCHITECTURE OF THE BURRO CANYON FORMATION USING UAV-BASED PHOTOGRAMMETRY - IMPLICATIONS FOR RESERVOIR PERFORMANCE, ESCALANTE CANYON, SOUTHWESTERN PICEANCE BASIN, COLORADOen_US
ou.groupMewbourne College of Earth and Energy::Conoco Phillips School of Geology and Geophysicsen_US
shareok.nativefileaccessrestricteden_US

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