53rd U.S. Rock Mechanics/Geomechanics Symposium,
New York City, New York
2019. American Rock Mechanics Association
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ABSTRACT: This paper shows how to integrate several disciplines to characterize and model one of the most important tight oil fractured reservoirs in Algeria to explain its productivity. Seismic data, seismic attributes, well correlation, core, and borehole data are integrated to understand the type and origin of fractures, their spatial distribution, and their impact on the reservoir parameters. The Discrete Fracture Network (DFN) models are generated to display the fault and the fracture sets and show the different mechanical units and compare their relationship with the reservoir units. DFN model at field scale show a lateral variability due to the impact of the Hercynian Unconformity (HU) on the different Hamra Quartzite’ units. The overall DFN shows that the upper unit of Hamra Quartzite appears intensely fractured and fracture sets appear connected and can contribute significantly to the productivity of this reservoir. The existence of the upper unit if the Hercynian Unconformity does not erode it would be the best indicator of the sweet spot in the Hassi Guettar field.
Natural fractures constitute the most often-preferential drains or barriers of permeability that partially control the movement of fluids being produced. The fracture modeling is a key point in the tight reservoir modeling. The wells’ productivity in these low permeability reservoirs is attributed mainly to the interconnected fracture networks. The curvature is an advanced seismic attribute that exhibits detailed patterns for fracture networks, which can be correlated with image logs and production data to ascertain their authenticity (Hunt et al., 2009). Fracture Modeling is a multi-step process involving several disciplines within reservoir characterization and simulation. Creating a 3D geological model is the primary process of DFN modeling (Gauthier et al., 2000). The application of DFN concepts can improve understanding and solution of anomalous well performance. A discrete fracture network model is a model providing realistic individual fracture interconnection with varying length, orientation, and relative spacing. The borehole imagery, core data analysis, 3D seismic data, and pressure transient analysis are the most important techniques to identify and study the naturally fractured reservoirs. This paper presents an integrated approach of fracture characterization and discrete fracture network modelling for a naturally fractured tight reservoir in the Hassi Guettar oil field by using a 3D seismic survey, conventional well logs, borehole imagery, and core data. The DFN model illustrates the natural fracture network in terms of fracture orientation, intensity, and size in order to characterize of the Hamra Quartzite reservoir and explain its production's variation.
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