Abstract
Reservoir characterization carried out for the quantitative representation of a reservoir leads to effectively managing the hydrocarbon reservoir. There have been few attempts made to characterize the reservoir and assess the potential of a reservoir for the sweet spots using seismic, geomechanical, and petrophysical characteristics where a combination of seismic and petrophysical characters is often ignored given the complexity of such integration. To the best of our knowledge, none of the studies have provided overall reservoir characterization workflows using the combination of petrophysical and geomechanical attributes for sweet spot detection. This study aims to adopt a new color transformation overlay scheme to assess the potential of reservoirs by identifying the sweet spots that can guide to propose a location for a new well. The core scale measurements and well log interpretation were used to determine the petrophysical and geomechanical properties of a highly complex sandstone reservoir which were used as the input to build a 3D reservoir model. The results obtained indicated that predicting the distribution of sweet spots is an effective scheme for well-planning and field development in the region. Four sweet spots are identified in the studied reservoir based on the color transformation overlay approach which has heterogeneous continuity behavior in vertical and horizontal directions. The identification of sweet spots based on top view is not enough for the complete understanding of spreading in all directions. Cross-sectional analysis of the color transformation overlay model revealed that there is a sweet spot near Well-E in west which has ideal reservoir potential and place to consider another proposed well.
Highlights
Reservoir characterization is a major part of reservoir development and management strategies (Abdel-Fattah et al 2020; Bhuiyan and Hossain 2020)
This study aims to carry out integrated reservoir characterization by a combination of petrophysical and geomechanical data for the identification of sweet spots using reservoir cross-sectional and color transformation approach
High hydrocarbon saturation was present in the upper part of the sandstone lithology which decreased toward depth in all wells due to the reduction in reservoir potential
Summary
Reservoir characterization is a major part of reservoir development and management strategies (Abdel-Fattah et al 2020; Bhuiyan and Hossain 2020). Sequential Gaussian simulation is used as a geostatistical method for petrophysical evaluation where iteration is considered to properly estimate different properties at each grid cell from probability distribution functions (Fegh et al 2013; Kelkar et al 2002). On these occasions, the petrophysical characterization of the heterogeneous reservoir is initially carried out based on the continuous and spatial distribution (Jennings and Lucia 2003) which is followed by the structural modeling using the three-dimensional grid (Holden et al 2003; Alfaaouri et al 2009). The petrophysical properties of each layer in the model are determined/populated using the geostatistical techniques over layers
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