We are thrilled to announce the exceptional success of a team of international students from our university at the esteemed GOTECH AI Hackathon 2024, held from 7th to 9th May at the Dubai World Trade Centre, UAE. Against formidable competition, they secured third place, marking a significant achievement. Our heartfelt congratulations go out to Asia Majid, Paulo Joaquim Nota, Osmund Edward Mwangupili, and Renatus Mahuyu for their outstanding performance, which has set an exemplary standard in the application of AI to petroleum engineering.
GOTECH AI Hackathon, organized by the Society of Petroleum Engineers (SPE) and Dragon Oil, provides a collaborative platform for showcasing expertise in machine learning, particularly in predicting crucial oil and gas production logging outcomes. Participants were tasked with predicting water and oil holdups, flow rates, pressure, and more, utilizing provided datasets such as OH and CH logs, alongside historical PLT logs. The participants exclusively utilized the provided data for model development, ensuring fairness in machine-learning model validation. The objectives of the Hackathon were clear: to assess AI's ability to predict production profiles within a specific area from one well to another, identify inter-well communication, and predict optimal new well target location.
Our students' success was no small feat, given the caliber of the competition. With 79 participants from around the globe, they showcased remarkable proficiency in AI and ML, accurately predicting production profiles and suggesting optimal drilling locations for new wells. Their model underwent rigorous testing and validation by the Hackathon Committee, impressing judges with its precision and innovation. This achievement not only underscores the technical skills of our students but also their ability to collaborate effectively under pressure. It is a testament to their hard work, dedication, and the exceptional quality of education they have received at our university. We wholeheartedly applaud their success and eagerly anticipate their future contributions to the fields of petroleum engineering and Artificial Intelligence (AI).
