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Transforming E&P Applications through Big Data Analytics

Recorded On: 07/09/2015

Data Driven Analytics in the Upstream Oil and Gas Industry
Shahab D. Mohaghegh

When it comes to data driven analytics there seem to be more questions than there are answers. This is quite natural when a novel technology tries to find its rightful place in a well-established industry. In this section of this three-part presentation, we attempt to address the questions that usually arise by petroleum professionals when data driven analytics is brought up. The objective is to clarify some of the confusion that seem to be surrounding the practical and useful implementation this technology in the upstream oil and gas industry.
The questions that will be addressed are: What is Data-Driven Analytics / Data Analytics? What are the main components of this technology? Who should be the owners and the champions of Data-Driven Analytics in a company? Is this an IT related technology or is more related to drilling, completion, geosciences, reservoir and production engineering? What are the commonalities and differences between the application of this technology in the oil and gas industry as compared to other industries? Who are the main players? What expertise are required? What is the relationship between Data-Driven Analytics and Physics? Is it really a black box? How does “Big Data” relate to data driven analytics? What is the manifestation of “Big Data” in our industry? How should this technology be incorporated in the operating companies? Who are the vanguards in our industry? Why is the academia not involved?

Geoscience Data Analytics: What can it do for me?
Dr. Srikanta Mishra

“Data analytics” has become quite the buzzword in recent years across a multitude of disciplines ranging from marketing to science and engineering. It involves analyzing data using advanced statistical methods to understand hidden patterns of association and input-output relationships in large, complex, multivariate data sets. The field of geoscience data analytics, i.e., the application of data analytics in E&P operations, is also emerging as an exciting new development. In this talk, I will provide an overview of various data analytics techniques that can be applied to understand “what the data say” in the context of oil and gas operations. Examples from reservoir characterization, production evaluation and reservoir performance will be used to demonstrate the applicability of these techniques and their potential for extracting data-driven insights as an aid to improved decision making.

Exploiting data value in real-time upstream production operations
Dr. Luigi Saputelli

To increase the opportunities for profitability, upstream operators have deployed sophisticated hardware for remote sensing and actuation of wells and facilities. However, efficient transformation of data acquisition into value-added actions still a challenge. Assimilation of real time data offer unique advantages in answering crucial questions for improving asset performance. The combination of data-driven predictive analytics, large computer power and multidimensional data visualization propose opportunities for discovering deep knowledge previously hidden by traditional engineering and statistical methods. During the last decades, a number of predictive models, from outside E&P industry, have been adapted to upstream production and real-time data surveillance. Typical real-time production applications include reservoir model response, virtual metering and soft sensing. In this presentation, some success stories using linear time series, neural networks, fuzzy logic and reduced order modeling will be displayed and analyzed. Key challenges and R&D requirements in applying data driven techniques in real-time data analysis will also be addressed.

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Dr. Srikanta Mishra

Institute Fellow & Senior Research Leader, Battelle Memorial Institute

Dr. Srikanta Mishra is Institute Fellow & Senior Research Leader at Battelle Memorial Institute, the world's largest independent contract R&D organization. He is responsible for developing and managing a technology portfolio related to reservoir modeling and data analytics for geological carbon storage, shale gas development and improved oil recovery projects. Dr. Mishra is the author of 175+ technical publications, and an Associate Editor of Journal of Petroleum Science & Engineering. He holds a PhD in Petroleum Engineering from Stanford University.

Dr. Luigi Saputelli

President, Frontender Corporation

Dr. Luigi Saputelli is a petroleum engineer with 24 years' experience in reservoir engineering, field development, production engineering, drilling engineering, production operations and oilfield automation projects. He holds a PhD in Chemical Engineering (2003) from the University of Houston, a M.Sc. in Petroleum Engineering (1996) from Imperial College, London, and a B.Sc. in Electronic Engineering (1990) from Universidad Simon Bolivar, Caracas, Venezuela

Luigi worked as technical lead for the development of the integrated reservoir management framework for ADNOC and its operating companies in the UAE (2014-2015), senior advisor in the North Kuwait Sabriyah-Mauddud, SEK Burgan GC01 and WK Minagish Oolite Kuwait Oil Company Digital Oil field efforts (2012-2014), Production Engineering Senior Advisor in Hess Corporation (2009-2012), Halliburton (2003-2009) where he acted as technical lead of various major projects such as Petrobras Barracuda-Caratinga fields Real Time Operations project (2005-2006), KOC KwIDF Digital Oilfield projects (2012-2014), PDVSA integrated modeling and field exploitation plans for Carito and Orocual fields (2006-2007); he later acted as Production Operations Regional Practice Manager and Field Development Global Practice Manager for Halliburton. He also worked in PDVSA E&P (1990-2001) and acted as a well planning senior advisor, production technologist, reservoir modeling and simulation engineer.

He has worked in several countries such as Venezuela, Argentina, Brazil, Colombia, Saudi Arabia, Kuwait, United Arab Emirates, Nigeria, Thailand, Malaysia, Indonesia, England, Scotland and USA. He is an industry recognized researcher, lecturer, SPE Liaison and member of various SPE committees.

He has published more than 60 industry papers and three patents on applied technologies for reservoir management, real time optimization and production operations.

He is currently the president of Frontender Corporation, and he is currently engaged in various Digital Oilfield implementations around the world.

Shahab Mohaghegh


Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Data Mining in the Exploration and Production industry, is the president and CEO of Intelligent Solutions, Inc. (ISI) and Professor of Petroleum and Natural Gas Engineering at West Virginia University. He holds B.S., MS, and PhD degrees in petroleum and natural gas engineering

He has authored more than 150 technical papers and carried out more than 50 projects for NOCs and IOCs. He is a SPE Distinguished Lecturer and has been featured, four times, in the Distinguished Author Series of SPE's Journal of Petroleum Technology (JPT). He is the founder of SPE's Petroleum Data-Driven Analytics Technical Section that focuses on the application of AI and data mining in the upstream. He has been honored by the U.S. Secretary of Energy for his technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico and was a member of U.S. Secretary of Energy's Technical Advisory Committee on Unconventional Resources (2008-2014). He represents the United States in the International Standard Organization (ISO) on Carbon Capture and Storage.

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Web Event
07/09/2015 at 9:30 AM (EDT)   |  90 minutes
07/09/2015 at 9:30 AM (EDT)   |  90 minutes Scheduled for 90 minutes.
CEU Credit
0.15 CEU credits  |  Certificate available
0.15 CEU credits  |  Certificate available CEU Credit