Oil and Gas

Application of a Drilling Simulator for Real-Time Drilling Hydraulics Training and Research

1 min read ·
Challenging wells require an accurate hydraulic model to achieve maximum performance for drilling applications. This work was conducted with a simulator capable of recreating the actual drilling process, including on-the-fly adjustments of the drilling parameters. The paper focuses on the predictions of the drilling simulator's pressure losses inside the drill string and across the open-hole and casing annuli applying the most common rheological models. Comparison is then made with pressure losses from field data. Drilling data of vertical and deviated wells were acquired to recreate the

Riyadh Alghamdi

Research Interests My research interests lie in the intersection of software engineering, machine learning, and cyber-physical systems, with a focus on their applications in the oil and gas industry. I am particularly interested in developing intelligent systems that can optimize the extraction process and improve safety in the industry. My work involves using a range of programming languages such as MATLAB, Python, C, and C++ to develop and implement algorithms for machine learning and microprocessor interfacing. My goal is to contribute to the development of more efficient and sustainable

Klemens Katterbauer

Klemens Katterbauer is a AI specialist and software engineer working on robotics and artificial intelligence software development at EXPECARC in Saudi Aramco. His focus is on bridging the gap between sustainable energy transition development and the power of artificial intelligence. Klemens has published more than 50+ journal and conference publications, and has more than 20+ granted and submitted patents. Before this he was the IT Infrastructure Manager and Business Process Consultant for Eastern Europe, Middle East & Asia Pacific Region at the XXXLGroup (2nd largest furniture retailer in the