Defining the 3D geometry of thin shale units in the Sleipner reservoir using seismic attributes
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 re...
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Veröffentlicht in: | Marine and petroleum geology 2016-12, Vol.78, p.405-425 |
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Sprache: | eng |
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Zusammenfassung: | 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.
•New seismic interpretation of the internal reservoir geometry of the Sleipner field.•Seismic attributes inform a detailed interpretation of the geometry and distribution of thin shale layers.•Fluid-flow features are identified using multi-attribute analysis.•A new storage volume of 1.05 × 109 m3 is calculated for the Sleipner CO2 storage site from the interpretation. |
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ISSN: | 0264-8172 1873-4073 |
DOI: | 10.1016/j.marpetgeo.2016.09.020 |