
Huda Al-Enezi
Senior Reservoir Engineer
Kuwait Oil Company
Kuwait
Huda AlEnezi is a Senior Reservoir Engineer at Kuwait Oil Company, working in the Innovation and Technology Group. With over 20 years of experience in the oil and gas industry, she specializes in reservoir management, enhanced oil recovery, and production optimization. She holds a master’s degree from the University of Southern California and a bachelor’s degree from Kuwait University and has previously worked with the Ministry of Oil and Schlumberger.
Throughout her career, she has led multidisciplinary projects in enhanced oil recovery, reservoir simulation, heavy oil, unconventional resources, and water management. An experienced project manager, she has guided teams to deliver solutions that support reserves growth, optimize production, and improve efficiency.
Participates in
TECHNICAL PROGRAMME | Energy Technologies
We created a discrete fracture network (DFN) model that integrated data from several sources such as well logs, borehole images, core photos, 3D far-field sonic, 3D geomechanics and production data. Our approach was to recreate the evolution of tectonics across the Greater Burgan field to model stress perturbations around faults and predict location and characteristics of natural fractures. Borehole images, core photos and 3D far-field sonic provided hard data at well locations to calibrate the DFN, with well-level production data corroborating with results further.
Reservoir simulation models using a single porosity approach without natural fractures were not able to reproduce production results in many wells. However, results improved significantly when incorporating the DFN results into a dual permeability (DPDP) reservoir simulation model. For example, the DFN predicted intense natural fracturing in the Magwa region of the Greater Burgan field. Good production performance was observed from Mauddud completions in this area and successful simulation history matches were only obtained using a DPDP guided by the DFN. However, uncertainties in the DFN are an important action item we have identified for future work as we observed some wells with excellent production performance but modest natural fracturing from the DFN.
One way of addressing DFN uncertainty has been to incorporate horizontal multistage proppant or acid fracturing in Mauddud development wells within the next year. This has been a trend in some Middle Eastern operators as stimulation can help intercept clusters of natural fractures that do not cross the wellbore. Additional data such as higher resolution and azimuthal seismic can help narrow down uncertainties in the DFN modeling results.





