The UH Cullen College of Engineering hosted a Distinguished Rockwell Lecture on October 26 by Roland N. Horne, a member of the National Academy of Engineering and the Thomas Davies Barrow Professor of earth, energy and environmental sciences at Stanford University.
Horne’s talk, “Big Data and Machine Learning in Reservoir Analysis,” focused on the applications of machine learning for improved data collection and interpretation when monitoring oil and gas wells.
Horne is best known for his work in well test interpretation, production optimization and analysis of fractured reservoirs. His Rockwell Lecture brings together all three areas of his expertise, demonstrating how the totality of reservoir behavior can be modeled using a machine learning framework.
Horne also serves as the senior fellow at the Precourt Institute for Energy at Stanford University, and was the chairman of the petroleum engineering department from 1995 to 2006. Horne has been a Distinguished Lecturer for the Society of Petroleum Engineers (SPE), and has been awarded the SPE Distinguished Achievement Award for Petroleum Engineering Faculty, the Lester C. Uren Award, and the John Franklin Carl Award. Horne is also an SPE Honorary Member.
The Rockwell Distinguished Lecture Series is named for Elizabeth Dennis Rockwell, a UH alumnae, industry expert and philanthropist who passed away in 2011. The next Rockwell lecture is set for January 28, 2019 and will be held in Engineering Building 2, Room W122 from 10-11a.m.
Click here to view photos from Horne’s Rockwell Lecture!