Djamel Ouzzane

Title: Djamel Ouzzane: Innovator in Rock Permeability Prediction

Introduction

Djamel Ouzzane is a notable inventor based in Abu Dhabi, AE. He has made significant contributions to the field of rock permeability prediction through innovative methodologies. His work primarily focuses on utilizing machine learning and computer vision to enhance the understanding of heterogeneous rock properties.

Latest Patents

Djamel Ouzzane holds a patent titled "Morphology decoder to predict heterogeneous rock permeability with machine learning guided 3D vision." This patent describes methods and systems designed to determine a permeability value and a permeability image of a rock. The process involves labeling a 3D segment of a rock, which can be achieved through computer vision and machine learning techniques. The labeled segments are then used to ascertain the grain size of the 3D rock segments. The grain size value is crucial for determining the permeability value for the 3D rock segment, which ultimately aids in assessing the heterogeneous permeability of the rock.

Career Highlights

Throughout his career, Djamel Ouzzane has worked with prominent organizations such as Khalifa University and Abu Dhabi National Oil Company. His experience in these institutions has allowed him to apply his innovative ideas in practical settings, contributing to advancements in the field.

Collaborations

Djamel has collaborated with esteemed colleagues, including Omar Usama Abdul Latif Al-Farisi and TieJun Zhang. These partnerships have fostered a collaborative environment that enhances research and development in rock permeability prediction.

Conclusion

Djamel Ouzzane's innovative work in predicting rock permeability through machine learning and computer vision represents a significant advancement in geological research. His contributions are paving the way for more accurate assessments of rock properties, which are essential for various applications in the oil and gas industry.