Practical Application of AI in Petroleum Production | Joy Ugoyah

In this talk, Joy presents a case study on predicting scale deposition in petroleum production with machine learning. She provides the key details including her development methods, evaluation techniques, and final results. About the speaker Joy Ugoyah is a Petroleum Engineer, Machine Learning Engineer, Researcher, and Business Development Strategist for startups. Her interest lies in finding ways to apply AI technology to improve petroleum exploration and production operations. She believes that one person alone cannot build the success of an industry so she loves to share the knowledge she has. She is currently open to opportunities to apply my knowledge of ML/AI practically in the energy industry. Speaker's LinkedIn: https://www.linkedin.com/in/joy-ugoyah/ ---------------------------------------------------------------------------------------------------------------------- 🤔 About AI School Africa🧠 AI School (formerly "Port Harcourt School of AI") is a remote-first, non-profit organization with the cause of connecting interested individuals to quality data science and AI education and opportunities while making the knowledge and use of the technology accessible to underrepresented groups across Africa. We hold monthly meet-ups for our community. Opt-in to receive emails from us on new AI and data science-related meetups decided by our community members every month. 🌐 Website: www.phcschoolofai.org 👆🏽 Join our community: https://bit.ly/aischool_signup 🔜 Events page: https://www.eventbrite.com/o/ai-school-20148283582 🎧 Podcast page: https://anchor.fm/african-data-scientist/ 🐦 Twitter: https://twitter.com/aischool_africa 🔗 LinkedIn page: https://www.linkedin.com/company/ai-school-nigeria/ ---------------------------------------------------------------------------------------------------------------------- SMASH THE LIKE (👍) BUTTON FOR THE AI AND HIT SUBSCRIBE (🔔) TO HELP US KEEP BRINGING YOU AMAZING WORKSHOPS IN AI AND DATA SCIENCE. #machinelearning #artificialintelligence #petroleumengineering #aischool #datascience #scaledeposition #petroleumproduction #casestudy