Nyhiraba Paa Kwesi Appiah, a final year Department of Petroleum Engineering student, has clinched 1st place in the student category at the SPE Data Science and Engineering Analytics Technical Section (DSEATS) Africa Datathon. This year’s SPE DSEATS Africa Datathon Challenge brought together 236 participants who were tasked with developing machine learning models to predict oil, gas, and water production based on historical data. Competitors were required to create accurate production profiles by leveraging advanced analytical techniques, demonstrating how innovative data-driven solutions can optimise resource management in the energy sector. His outstanding performance in this competition underscores his deep understanding of machine learning applications in petroleum engineering.
Recognising the growing importance of digital skills in the global oil and gas industry, the Department of Petroleum Engineering has developed an initiative that makes it compulsory for students to learn to code by the end of their second year. From the third year onward, courses are designed to require students to apply their coding skills to solve real-world problems in petroleum engineering. This forward-thinking initiative is already bearing fruit, as evidenced by this remarkable achievement. This victory highlights his personal excellence and reflects the department's commitment to equipping students with the skills needed to excel in the evolving energy sector. Congratulations to Nyhiraba Paa Kwesi Appiah! The CoE is proud of your achievement.
