"I must express my gratitude and appreciation to my academic advisor and ANPERC faculty for all the help and support during this exciting journey."
MS Student - ERPE
"I must acknowledge and thank my advisor, ERPE faculty, and all my colleagues at ANPERC who in one way or another contributed to my work. KAUST is a unique and diverse world-class research environment, and I'm happy to continue my research here as a PhD student in Prof. Hoteit's group."
MS Student - ERPE
Our team successfully passes regional Petrobowl qualifications
On 14 and 15th of June, KAUST’s Petrobowl Team participated for Middle East & North Aftica regional Petrobowl competition.
We're proud to congratulate the ANPERC Masters students team for successfully defended their Master's Thesis.
Saudi Aramco’s EXPEC ARC delegation Visits ANPERC Labs
On Wednesday, June 9th, a delegation from Saudi Aramco’s Advanced Research Center (EXPEC ARC) visited ANPERC labs.
Dr. Alexander Petrovic Receives the 2021 Georg-Hunaeus-Prize
Congratulations to Dr. Alexander Petrovic on being awarded the 2021 Georg-Hunaeus-Prize
Congratulations to Antonia Sugar on winning the EAGE Young Presenter of Note award.
In a low permeability formation, connectivity of natural and induced fractures determines overall hydraulic diffusivity in fluid flow through this formation and defines effective rock permeability. Efficient evaluation of fracture connectivity is a nontrivial task. Here we utilize a topological concept of global efficiency to evaluate this connectivity. We address the impact of key geometrical properties of stochastic fracture networks (fracture lengths, orientations, apertures and positions of fracture centers) on the macro-scale flow properties of a shale-like formation. Six thousand different realizations have been generated to characterize these properties for each fracture network. We find that a reduced graph of a fracture network, which consists of the shortest paths from the inlet nodes (fractures) to all outlet nodes, contributes most to fluid flow. 3D fracture networks usually have higher global efficiency than 2D ones, because they have better connectivity. All geometrical properties of fractures influence quality of their connectivity. Aperture distribution impacts strongly global efficiency of a fracture network, and its influence is more significant when the system is dominated by large fractures. Fracture clustering lowers global efficiency in both 2D and 3D fracture networks. Global efficiency of 2D and 3D fracture networks also decreases with the increasing exponent of the power-law distribution of fracture lengths, which means that the connectivity of the system decreases with an increasing number of small fractures. Realistic fracture networks, composed of several sets of fractures with constrained preferred orientations, share all the characteristics of the stochastic fracture networks we have investigated.