This inventor holds 1 USPTO granted patent. Top assignee: Saudi Arabian Oil Company. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations in Aquifer Prediction by Essam Hasan Sardar
Introduction
Essam Hasan Sardar is an accomplished inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of groundwater management through his innovative patent. His work focuses on utilizing machine learning techniques to enhance the prediction of aquifers based on groundwater chemistry data.
Latest Patents
Essam Hasan Sardar holds a patent for a groundbreaking method titled "Using machine learning to predict aquifers from groundwater chemistry data." This patent outlines a computer-implemented method that predicts the locations of aquifers by addressing missing measurements in groundwater chemistry data. The process involves replacing these missing values with calculated equivalents, splitting the data into model building and validation datasets, and normalizing the data. A dimensionality reduction technique is applied to identify principal components, leading to the generation and training of an aquifer prediction model. The model's performance is validated using the validation dataset, allowing for accurate predictions of aquifer locations during the production of new wells.
Career Highlights
Essam is currently employed at the Saudi Arabian Oil Company, where he applies his expertise in groundwater management and machine learning. His innovative approach has the potential to significantly improve the efficiency of drilling operations by adjusting settings and parameters based on predicted aquifer locations and groundwater chemistry.
Collaborations
Essam collaborates with Fahad Ahmed Souid, a fellow professional in the field. Their combined efforts contribute to advancing the understanding and management of groundwater resources.
Conclusion
Essam Hasan Sardar's innovative work in predicting aquifers through machine learning represents a significant advancement in groundwater management. His contributions are poised to enhance the efficiency of drilling operations and improve resource management in the region.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
