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Introduction
Introduction

This talk will give you new insight into global energy research at SLB, highlighting market-leading technologies that leverage AI & ML. Don’t miss this opportunity to hear more about the energy innovation happening today at our research site in Kendall. See how new ideas can have global impact.

 

Working in the subsurface for more than a century, SLB leads the world in developing advanced sensors and measurement technology across the energy landscape. From decarbonization to next-generation energy systems, we continue to push the limits of what technology can deliver.

 

Here in Kendall Square is SLB’s flagship innovation engine: Schlumberger Doll Research, housing 20+ state-of-the-art laboratories and more than 60 multi-disciplinary scientists. For decades, we havebeen the architect of advanced downhole sensing and measurements: electromagnetic, nuclear,acoustic (seismic, sonic, ultrasonic), and more.

 

Today, we combine these measurements, data processing and modeling to tackle some of the world’s most critical challenges in:

• Geothermal Energy and Carbon Sequestration

• Emissions Sensing for Methane Reduction

• Formation Evaluation and Well Integrity

• Downhole Sensors and Automation

 

AI and Machine Learning are integral to these technologies, helping us to characterize complex phenomena across multiple scales, from microns to kilometers.

 

In this talk, we’ll showcase how AI & ML are fueling current and future energy technology development.

 

Creating the technology to power tomorrow’s needs starts now. Come join the conversation with SLB.

CSAIL students
Speakers

Dr. Elizabeth Godoy is a Principal Research Scientist in the Advanced Acoustics Program at Schlumberger Doll Research, the flagship innovation center for SLB in Cambridge, MA. She received her B.S. and M.Eng degrees from MIT in electrical engineering and earned her Ph.D. in signal processing from Telecom Bretagne for her research in speech synthesis at Orange Labs R&D in France. Prior to joining SDR, she spent several years at MIT Lincoln Laboratory, combining her signal processing expertise with machine learning to develop new human language and radar capabilities. Her research currently lies in sonic and ultrasonic measurements for well integrity, including work on a market-leading technology for dual-string barrier evaluation. She also supports strategic development in new energy areas for SDR, focusing on subsurface applications such as geothermal systems. 

Headshot of Dr. Elizabeth Godoy