Production from the Ekofisk Chalk Field in the North Sea is believed to be significantly influenced by the presence of a connected fault and fracture network. In the current study, we create a 3D seismic discontinuity cube which is representative of this network within the southern part of the Ekofisk Field. This is done using a multiscale workflow which integrates seismic fault and fracture detection with borehole image log interpretation from three horizontal well sections. The results show that faults and fractures are prevalent in the Ekofisk Formations. Within the study area, faults are mainly organised in three orientations: 1) WNW-ESE, 2) NNE-SSW and 3) NNW-SSE. Smaller E-W striking faults are also observed. The interpreted fractures show a similar pattern and are organized in four orientation groups: NW-SE, WNW-ESE, ENE-WSW and NE-SW. The analysis of seismic discontinuity data (i.e. faults and fractures detectable on seismic) indicates that most small-scale discontinuities occur in proximity to large faults, and that the Lower Ekofisk Formation is characterized by more widespread – and a higher intensity of small-scale seismic discontinuities. It is also demonstrated that along each studied well section, the extracted seismic discontinuities show a qualitative correlation with the image log interpretation. This correlation suggests that the 3D seismic discontinuity cube can serve as a proxy for the fault and fracture network in the southern part of the Ekofisk Chalk Field. Following from our key findings, we conclude that the presented workflow and results could provide a starting point for future studies assessing the impact of natural fractures in the Ekofisk – and other complex reservoirs.@en

Natural fracture networks are commonly observed in tight carbonate and chalk reservoirs and are believed to have significant impact on the effective permeability and potential fluid flow behavior. For instance, production from chalk fields in the North Sea is believed to be aided by the presence of natural fracture systems. Apart from enhancing production, fractures can also result in channelized fluid flow and early water break-through. In this study, we propose a multiscale and data-driven workflow of automated fault extraction, image log interpretation and both inverse and forward modelling, to characterize and quantify potential inter-well fracture network geometries and densities. The workflow is exemplified on the Ekofisk chalk field situated in the Norwegian North Sea. The seismic and well data show that the Ekofisk fault and fracture system forms a connected system, which can be subdivided into four main structural orientations. Inverse modeling suggests that the orientations of the fracture/fault system can be explained by three separate normal faulting events. By implementing the structural data into a forward simulation, we characterize the potential inter-well fracture/fault network highlighting that fractures occur in clustered zones which follow the four main observed orientations.@en