Abstract
In a reservoir with high oil content but insufficient permeability, hydraulic fracturing operation is essential to increase the permeability. To perform such an operation, one of the challenges is to identify appropriate intervals of the reservoir for hydraulic fracturing. Therefore, this paper proposes a new workflow for intelligent identification and 3D modeling of suitable intervals for hydraulic fracturing. In this study, geomechanical and petrophysical parameters were clustered using hierarchical method for 30 wells in Sarvak reservoir at an N–S trending oil field in southwest (SW) of Iran. Five clusters were identified, which according to their characteristics have a different priority for hydraulic fracturing. It was observed that cluster 1 has the most suitable characteristics for the hydraulic fracturing. The clusters were modeled three-dimensionally using sequential indicator simulation (SIS) method. Based on the 3D model, cluster 1 is extended broadly in the northern part of the oil field.
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