Title : An integrated study to characterize unconventional fractured reservoir, v field, onshore Sirte Basin, Libya
Abstract:
The goal of modelling fractures is to generate properties for simulations that may be used to forecast reservoir behavior. The process of determining, quantifying, and characterizing the geometric and physical characteristics of fractures in a rock formation is known as fracture characterization. This is an important phase in many disciplines, such as hydrology, engineering, and geology, because fractures are important for resource extraction, fluid flow, and structural stability.
Comprehending fracture networks and their characteristics is essential for effective well location and stimulation strategies in oil and gas reservoirs.
The study focus on V field in Sirte Basin. It is a fractured quarzitic sandstone, an oil reservoir, located on Beda platform, Sirte basin.
Fracture analysis from borehole image logs and have used as a starting point and integrated with the seismic to build the proper fracture model. Another powerful predictive tool is to use a geomechanically approach, such as Young modulus to estimate stress levels and predict where fractures are most likely to form.
The two approaches are combined to come up with a final fold-related fracture intensity model. The fractures along fault damage zones were removed from the resultant fold-related fracture intensity. Two sets of fold-related fracture orientations were used to generate a fold-related DFN model. One direction is parallel to the axis and the other one perpendicular to the fold axis.
The Fracture DFN models from fault-related fractures and fold-related fractures are combined. This final model is further used to estimate the porosity and permeability of the Gargaf in the study area.
The available image logs were analyzed in terms of orientation, intensity, and damage zone width to characterize the fractured Gargaf reservoir. Post-stack seismic attributes have been generated and evaluated to guide the fracture distributions in the study area and validated with well data.
The results so far are satisfactory if compared with the available data in our hands.
The recommended direction for horizontal drilling is E-W. More data acquisition is required including shear sonic logs and, a coring program.
