Although considered one of the most productive oil and gas reservoirs in the United States, the Pennsylvanian-age Granite Wash reservoir remain poorly understood. Amongst a myriad of issues that hinder development of hydrocarbon reserves are an unusually low porosity and permeability estimates, varying grain sizes, mineralogy, cementation and presence of micro-fractures are the more dominant ones. These have not only influenced its complex stratigraphic and structural depositional pattern but have also made the formation difficult to image seismically. To better understand the reservoir geomorphology and lithological heterogeneity, we report what we believe is the first seismic facies analysis of the Desmonesian-Cherokee wash of Wheeler and Hemphill counties, Texas using seismic attributes (geometric and textural) and inversion technique to map specific alluvial fan depositional environments and reservoir facies from seismic data as well identifying productive chaotic facies using these attributes. We also use an unsupervised latent space Generative Topographic Mapping (GTM) technique to classify rock-facies types and reservoir quality using well-logs as ground truth.
Presentation Date: Wednesday, October 19, 2016
Start Time: 3:35:00 PM
Location: 170/172
Presentation Type: ORAL
