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Defining the 3D geometry of thin shale units in the Sleipner reservoir using seismic attributes
Institution:1. Department of Earth Sciences, University of Oxford, OX1 3AN, UK;2. ExxonMobil Upstream Research Company, Spring, TX 77389, USA;1. British Geological Survey, Keyworth, Nottingham, NG12 5GG, UK;2. British Geological Survey, Edinburgh, EH9 3LA, UK;3. Statoil ASA, Trondheim, Norway;1. British Geological Survey, Murchison House, West Mains Road, Edinburgh, EH9 3LA, United Kingdom;2. British Geological Survey, Environmental Science Centre, Nicker Hill, Keyworth, Nottingham, NG12 5GG, United Kingdom;1. Department of Earth Sciences, Quaid-I-Azam University, 44000 Islamabad, Pakistan;2. Institute of Geomatics and Geophysics, China University of Geosciences, Hubei, Wuhan, PR China
Abstract:Defining the 3D geometry and internal architecture of reservoirs is important for prediction of hydrocarbon volumes, petroleum production and storage potential. Many reservoirs contain thin shale layers that are below seismic resolution, which act as impermeable and semi-permeable layers within a reservoir. Predicting the storage volume of a reservoir with thin shale layers from conventional seismic data is an issue due to limited seismic resolution. Further, gas chimneys indicative of gas migration pathways through thin shale layers, are not easily defined by conventional seismic data. Additional information, such as borehole data, can be used to aid mapping of shale layers, but making lateral predictions from 1D borehole data has high uncertainty. This paper presents an integrated workflow for quantitative seismic interpretation of thin shale layers and gas chimneys in the Utsira Formation of the Sleipner reservoir. The workflow combines the use of attribute and spectral analysis to add resolution to conventional seismic amplitude data. Detailed interpretation of these analyses reveals the reservoirs internal thin shale architecture, and the presence of gas chimneys. The comprehensive interpretation of the reservoirs internal structure is used to calculate a new reservoir storage volume. This is done based on the distribution of sand and interpreted shale layers within the study area, for this active CO2 storage site.
Keywords:Seismic  Reservoir  Thin shale beds  Seismic attributes  Utsira Formation  Sleipner
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