See the link below. From the article:
”A team of five graduate students from the John and Willie Leone Family Department of Energy and Mineral Engineering in Penn State’s College of Earth and Mineral Sciences won first place in the 2024 Chevron National Engineering Competition. The annual competition challenges teams to present novel ideas about contemporary subjects in the petroleum and energy industry, with this year’s topic focused on use cases for implementing artificial intelligence (AI).
Nicolas Bueno, Nijat Gasimli, Ianna Gomez Hanif Yoga and Baran Yucel, whose team took second place the previous year, were part of this year’s winning team.
“It's important to try new things,” said Bueno. “I came to Penn State from Colombia to research potential CO2 and hydrogen storage solutions via studying how bubbles interact in porous media, but I wanted to try something beyond my research and learn about different perspectives.”
“We reviewed the previous topics and brainstormed a lot of potential directions,” said Gasimli, whose research focuses on experimental methodologies for enhanced oil recovery. “But AI wasn’t one of them. It was an exciting surprise.”
The members all agreed that the topic's broad nature would be demanding. AI can be utilized across every department in the oil industry, from operations and reservoir management to finance and human resources. The team knew they would need to be strategic about which aspect they focused on.
“I was very excited because I’ve been working directly with AI the past three years, but I knew the competition would be difficult for different reasons,” said Yucel who utilizes AI in his work to improve geostatistical modeling. “Firstly, the timing is tight and you have to squeeze a lot of complex ideas into a concise presentation. Second, you must balance exploring the different AI applications while maintaining a clear, big-picture perspective.”
The team decided to divide and conquer. Each member focused on the key strengths, weaknesses and potential uses for AI across every industry cycle stage. The decision to tackle the entire lifecycle required each member to become a convincing expert in their respective section and address concerns ranging from job security to accuracy. Their suggestions would also have to be practical, not just theoretical, to appeal to the industrial judges.”
Before anyone gets too excited, recognize that if Penn State had a sufficient amount of real intelligence, they wouldn’t have to rely on AI. So, this is really just a cover for our school’s shortcomings.
”A team of five graduate students from the John and Willie Leone Family Department of Energy and Mineral Engineering in Penn State’s College of Earth and Mineral Sciences won first place in the 2024 Chevron National Engineering Competition. The annual competition challenges teams to present novel ideas about contemporary subjects in the petroleum and energy industry, with this year’s topic focused on use cases for implementing artificial intelligence (AI).
Nicolas Bueno, Nijat Gasimli, Ianna Gomez Hanif Yoga and Baran Yucel, whose team took second place the previous year, were part of this year’s winning team.
“It's important to try new things,” said Bueno. “I came to Penn State from Colombia to research potential CO2 and hydrogen storage solutions via studying how bubbles interact in porous media, but I wanted to try something beyond my research and learn about different perspectives.”
“We reviewed the previous topics and brainstormed a lot of potential directions,” said Gasimli, whose research focuses on experimental methodologies for enhanced oil recovery. “But AI wasn’t one of them. It was an exciting surprise.”
The members all agreed that the topic's broad nature would be demanding. AI can be utilized across every department in the oil industry, from operations and reservoir management to finance and human resources. The team knew they would need to be strategic about which aspect they focused on.
“I was very excited because I’ve been working directly with AI the past three years, but I knew the competition would be difficult for different reasons,” said Yucel who utilizes AI in his work to improve geostatistical modeling. “Firstly, the timing is tight and you have to squeeze a lot of complex ideas into a concise presentation. Second, you must balance exploring the different AI applications while maintaining a clear, big-picture perspective.”
The team decided to divide and conquer. Each member focused on the key strengths, weaknesses and potential uses for AI across every industry cycle stage. The decision to tackle the entire lifecycle required each member to become a convincing expert in their respective section and address concerns ranging from job security to accuracy. Their suggestions would also have to be practical, not just theoretical, to appeal to the industrial judges.”
Before anyone gets too excited, recognize that if Penn State had a sufficient amount of real intelligence, they wouldn’t have to rely on AI. So, this is really just a cover for our school’s shortcomings.
