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Please note a change in date from the 15th to the 22nd
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Speakers: Joshua Adler, Sourcewater; Claudia Neuhauser, PhD, Hewlett Packard; Liz Percak Dennett; Dr. Arvind Sharma, TGS; Brendan Hall, Enthought; Nathan Chang, Quantico
Lightning round presentations from 6 Panelists from Academia and Industry followed by moderator led Q&A.
The Data Science and Machine Learning SIG will be hosting a panel of entrepreneurs and thought leaders from industry and academia to discuss the impacts of new digital technologies on the future of the oil and gas industry. With a particular focus on subsurface challenges, we will dive into topics such as data literacy, real-time analytics, automation, and general big data challenges. This is an incredible opportunity to chat with a few of the individuals that are helping drive the change that will allow our industry to survive today and thrive in the future.
Joshua Adler is the Founding Chief Executive of Sourcewater (www.sourcewater.com), the water intelligence platform for the energy ecosystem. Sourcewater’s digital platform for water intelligence uses regulatory records, subsurface models, satellite imagery and mobile phone tracking to show where oilfield water comes from and goes to on the surface and in the subsurface. Josh previously served as the Chief Speechwriter to the U.S. Treasury Secretary under President George W. Bush and co-founded wireless medical device company iLife Systems in Dallas, Texas. He is a graduate of Yale and MIT, where he was a Sloan Fellow for Innovation and Global Leadership in Energy Ventures. He has appeared in The New York Times, The Wall Street Journal, The Washington Post, and The Economist. He is the sole inventor on seven U.S. patents covering applications of machine learning and satellite imagery for energy infrastructure analysis. He is also on the advisory boards of AI companies Cortex Automation and ZyloTech. Josh lives in Houston, Texas.
Claudia Neuhauser, PhD, is Associate Vice President/Associate Vice Chancellor for Research and Technology Transfer and the Director of the Hewlett Packard Enterprise Data Science Institute at the University of Houston. Neuhauser’s research is at the interface of mathematics and biology. She received her Diplom in mathematics from the Universität Heidelberg (Germany) in 1988, and a Ph.D. in mathematics from Cornell University in 1990. She is a Howard Hughes Medical Institute Professor, a fellow of the American Association for the Advancement of Science (AAAS), and a fellow of the American Mathematical Society (AMS).
Liz Percak Dennett is a passionate technologist 10+ years of experience and deep domain expertise in oil and gas geology. Through this interdisciplinary skill set, she has demonstrated success translating academic advances to scalable industry solutions in a wide range of use cases. Liz is currently a Solutions Architect at AWS where she is focused on bringing cloud-computing based workflows to the Energy sector. Prior to that she was a Senior Scientist and Technology Director at Biota Technology, a biotechnololgy start-up pioneering genomics in the energy industry. Before that, Liz worked as a geologist for Hess Corporation across a wide range of functional groups and teams including Guyana Exploration. Liz holds a BS in geology from the University of Alaska Anchorage and an MS and PhD in geoscience from the University of Wisconsin-Madison, where she researched geomicrobiology on modern and ancient Earth as part of the NASA Astrobiology Institute. Liz’s passions include building things, solving problems, and stubbornly refusing to believe things are “hard”.
Dr. Arvind Sharma is VP of Data & Analytics at TGS. In this role he is responsible for Machine Learning initiatives as well as broader Digital transformation. He has 15+ years of experience in various oil and gas exploration, production and software related work. Arvind has bachelor’s and master’s degrees in applied Geology and Exploration Geophysics respectively from the Indian Institute of Technology (IIT) Kharagpur. He has a Ph.D. from Virginia Tech (VT) in Geophysics.
Arvind has a broad background in the oil and gas industry as well as outside the industry. He has worked in jobs ranging from software engineering (Infosys) to efficient seismic acquisition design (PGS) to developing seismic image algorithms (BP) to prospecting and drilling exploration wells (BP). Most recently he was Chief Geophysicist at PGS and held a similar role at TGS before his current position where he led the Industry’s first crowdsourcing challenge “TGS-Kaggle Salt Identification Challenge”. Additionally, he holds several patents, has been keynote speaker at major conferences, has been featured on several ML podcasts and is listed among E&P’s 2020 Energy Innovators. At TGS, his mission is to create a platform to integrate and analyze all available sub-surface information for risking and decision making. Arvind believes that data integration and machine learning will be pivotal to this industry's future success.
Brendon Hall is the director of the Energy Solutions Group at Enthought, which is focused on applying machine learning and physics based modeling to create scientific software tools for the oil and gas industry. He has over 10 years of experience using computational techniques to solve problems in geoscience. Brendon has a Ph.D. in mechanical engineering from the University of California, Santa Barbara, a B.Eng. in mechanical engineering and a B.Sc. in computer science from Western University in Canada.
Nathan Chang is the Chief of Operations Officer at Quantico Energy Solutions, an energy services company dedicated to applying machine learning to subsurface G&G and D&C challenges. Nathan is a graduate of the University of Houston and has over 10 years of professional Experience. Seven of those years he spent with Fugro in Global Business Development roles and as the Global Innovation Director.