"I am so thrilled to realize that our center has grown today with roughly a hundred smart-talented people from many parts of the world."
"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
Young Saudi students visited ANPERC
Last week, a group of young Saudi students from different universities around KSA participated in a student debate on the future of energy organized by the Clean Combustion Research Center (CCRC).
ANPERC Iftar Dinner
Yesterday (April 11th, 2022) a wonderful Iftar dinner at one of the restaurants of Bay la Sun Hotel in KAEC (King Abdullah Economic City).
Milestone achieved: First KAUST-JAMSTEC research cruise in the Red Sea
All ANPERC Meeting - March 2022
SINOPEC, SAUDI ARAMCO and KSLP Leaders visited ANPERC
ANPERC Graphics Competition
Show us your artistic side and win prizes!
Systematic analysis of the complexity of fracture systems, especially for three-dimensional (3D) fracture networks, is largely insufficient. In this work, we generate different fracture networks with various geometries with a stochastic discrete fracture network method. The fractal dimension (D) and the singularity variation in a multifractal spectrum (Δα) are utilized to quantify the complexity of fracture networks in different aspects (spatial filling and heterogeneity). Influential factors of complexity, including geometrical fracture properties and system size, are then systematically studied. We generalize the analysis by considering two critical (percolative and over-percolative) stages of fracture networks. At the first stage, κ (fracture orientation) is the most significant parameter for D, following a (fracture length) and L (system size). FD (fracture positions) has a weak correlation with D but a strong correlation with Δα. At the second stage, the sensitivity results of each geometrical parameter and the system size are the same as in stage one for D. For Δα, κ and FD become more significant. For both stages, there is a weak finite-size effect for D and no finite-size effect for Δα. Therefore, a large fracture system is more suitable for a stable fractal dimension estimation, but no requirement for the estimation of Δα. D and Δα are almost independent. Therefore, they can separately quantify different aspects of complexity.