Thuwal, Saudi Arabia

Hussein Ali Hoteit

This inventor holds 4 USPTO granted patents and 8 published patent applications. Top assignees: King Abdullah University of Science and Technology, Saudi Arabian Oil Company. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hussein Ali Hoteit. Retrieved from https://idiyas.com/inventor/hussein-ali-hoteit

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 3.1

ph-index = 1


Company Filing History:


Years Active: 2022-2025

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Innovations of Hussein Ali Hoteit

Introduction

Hussein Ali Hoteit is a notable inventor based in Thuwal, Saudi Arabia. He has made significant contributions to the field of geological modeling and machine learning. With a total of 4 patents, Hoteit has developed innovative methods that enhance the understanding of reservoir formations and their properties.

Latest Patents

Hoteit's latest patents include a method and system for determining coarsened grid models using machine-learning models and fracture models. This method involves obtaining fracture image data regarding a geological region of interest. It further includes determining various fractures in the fracture image data using a first artificial neural network and a pixel-searching process. Additionally, the method determines a fracture model using the fractures, a second artificial neural network, and borehole image data. It also involves determining various fracture permeability values using the fracture model and a third artificial neural network. Finally, the method generates a coarsened grid model for the geological region of interest using a fourth artificial neural network, along with matrix permeability values and fracture permeability values.

Another significant patent focuses on techniques for determining reservoir formation properties. This includes generating digital models of core samples taken from one or more reservoir formations based on corresponding images of the core samples. The process determines a pore throat size distribution of the core samples and corresponding capillary pressure curves through numerical simulations. It also generates machine-learning models based on these distributions and adjusts them with reservoir data to determine a reservoir formation specific pore throat size distribution.

Career Highlights

Hussein Ali Hoteit has worked with prestigious organizations such as King Abdullah University of Science and Technology and Saudi Arabian Oil Company. His work in these institutions has allowed him to apply his innovative ideas in practical settings, contributing to advancements in geological research and technology.

Collaborations

Hoteit has collaborated with notable colleagues, including Marwah Mufid AlSinan and Xupeng He. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Hussein Ali Hoteit is a distinguished inventor whose work in machine learning and geological modeling has led to significant advancements in understanding reservoir formations. His innovative patents and collaborations highlight his contributions to the field, making him a key figure in geological research.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…