Hamdan Al Hammadi

Title: Hamdan Al Hammadi: Innovator in Rock Permeability Prediction

Introduction

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

Latest Patents

Hamdan Al Hammadi holds a patent for a "Morphology decoder to predict heterogeneous rock permeability with machine learning guided 3D vision." This patent describes methods and systems that determine a permeability value and a permeability image of a rock. The process involves labeling a 3D segment of a rock using computer vision and machine learning techniques. The labeled segments help in determining the grain size of the 3D rock segments, which is crucial for calculating the permeability value. Ultimately, this permeability value aids in assessing the heterogeneous permeability of the rock.

Career Highlights

Throughout his career, Hamdan has worked with esteemed 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 of geology and petroleum engineering.

Collaborations

Hamdan has collaborated with notable professionals in his field, including Omar Usama Abdul Latif Al-Farisi and TieJun Zhang. These collaborations have further enriched his research and development efforts.

Conclusion

Hamdan Al Hammadi'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 efficient methods in understanding rock properties and their implications in various industries.