Data Analytics: Machine Learning Applications in Upstream O&G

Speaker: Caio César Teodoro Mendes
Speaker Caio César Teodoro Mendes
Caio is a specialist in robotics and machine learning holding a Ph.D. in the area from the University of São Paulo. After obtaining his BSc in computer science from PUC Minas he started a Master's degree in robotics, mainly working with computer vision and autonomous vehicles. During his Ph.D. he ...

Caio is a specialist in robotics and machine learning holding a Ph.D. in the area from the University of São Paulo. After obtaining his BSc in computer science from PUC Minas he started a Master's degree in robotics, mainly working with computer vision and autonomous vehicles. During his Ph.D. he applied machine learning (deep learning) to the task of road detection and proposed new models for the task. Since August Caio is a developer and data analyst at Intelie, striving to deliver practical and valuable machine learning-based solutions to Intelie’s customers.

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Speaker: Vincent Dumlao
Speaker Vincent Dumlao
Vincent Dumlao is a Petroleum Engineer, with a B.S. in Petroleum Engineering from the University of Texas at Austin. He started his career as a Directional Driller for Schlumberger in U.S. land, then moved to Petrobras working as a Drilling Engineer and Company Man for various projects in North America, ...

Vincent Dumlao is a Petroleum Engineer, with a B.S. in Petroleum Engineering from the University of Texas at Austin. He started his career as a Directional Driller for Schlumberger in U.S. land, then moved to Petrobras working as a Drilling Engineer and Company Man for various projects in North America, South America, and Asia. He is currently acting as Senior Advisor for Oil & Gas at Intelie, working with their team of developers and data scientists to aid in the digitization and adoption of advanced analytic techniques in the oilfield.

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Speaker: David S. Fulford
Speaker David S. Fulford
David S. Fulford is a Staff Reservoir Engineer, Exploration Evaluation, with Apache Corporation. He has 11 years of industry experience with Apache and, previously, Devon Energy. His current work focuses on portfolio modeling and project characterization for long-term capital guidance, which incorporates production surveillance, stochastic modeling, risk & uncertainty quantification, ...

David S. Fulford is a Staff Reservoir Engineer, Exploration Evaluation, with Apache Corporation. He has 11 years of industry experience with Apache and, previously, Devon Energy. His current work focuses on portfolio modeling and project characterization for long-term capital guidance, which incorporates production surveillance, stochastic modeling, risk & uncertainty quantification, and estimation de-biasing & calibration. He has authored several technical papers on these subjects, and has served as session chair for the Data Analytics and Production Forecasting & Reserves sessions for the Unconventional Resources Technology Conference (URTeC). Fulford is a member of the Society of Petroleum Engineers (SPE), Society of Petroleum Evaluation Engineers (SPEE), and Society of Decision Professionals (SDP).

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Self-driving cars may be on the brink of revolutionizing our means of transportation and many of the technologies that fomented their development can be employed to transform oil and gas exploration.

Machine learning techniques such as convolutional neural networks (CNN) that gave autonomous vehicles sight could help with visual inspection tasks or when dealing with historical data (say, predict the long-term wear of some important component). Moreover, reinforcement learning, used in control tasks (e.g., steering an autonomous car) could be used to efficiently control pumps and valves in O&G rigs. In summary, this presentation explores possible connections between these two different fields and the useful insights that may come from it.

DIRECTIONS:

http://stationhouston.com/contact/

"We are at the corner of Polk and Fannin St. in Downtown Houston, located across from GreenStreet. We are 6 blocks away from Discovery Green, 3 blocks away from the Toyota Center and 2 blocks away from the nearest Metro LiteRail Station."

PARKING:

As per Station website- Greenstreet Garage at 1301 Main

Organizer DATA ANALYTICS STUDY GROUP

Liliia Reddy - 347-322-1473


Benin Jeyachandra - 513-638-8274


Supriya Gupta - 857-264-9460


2018 Events Sponsor:



When?

Thu, Jan. 25, 2018
5:30 p.m. - 7:30 p.m. US/Central

Where?

Station Houston
1301 Fannin St, Suite 2440
Houston, TX 77002
United States

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