Proxy Digital Twin for Oil and Gas Subsurface and Surface Operations

by | Nov 12, 2018 | Industrial IoT, Industry, Oil & Gas

Jim Cahill

Jim Cahill

Chief Blogger, Social Marketing Leader

Emerson's Hassane Kassouf

The Society of Exploration Geophysicists recently held their annual meeting. Emerson’s Hassane Kassouf shared his thoughts on how digital twin technology can transform operational efficiency in oil & gas production in a daily news article at this meeting, Connecting Subsurface Intelligence with Surface Operations.

Hassane opens the article citing this statistic on the digitalization trend:

By 2020 well over 20 billion Internet of Things (IoT) de-vices will be connected, with more than 5 billion devices starting to use edge intelligence and computing to usher in the next phase of digital transformation.

SEG18 Daily News: Connecting Subsurface Intelligence with Surface OperationsGiven oil price volatility and the difficulty in building exploration and production plans in this environment:

…a proxy digital twin, is starting to bridge this gap by virtually connecting services between all surface and sub-surface components of the exploration-to-market value chain.

He defines this proxy digital twin:

Cloud-based connectivity between device sensors, combined with reservoir artificial intelligence (AI) capabilities that scan massive amounts of geological and historical production data using parallel computing, enables full-scale operational control and collaboration between the subsurface reservoir and across surface operations.

Oil & gas producers can:

…use subsurface E&P software to provide data about failures in wells or optimization of production operations and flow farther down the chain.

This digital transformation connects the subsurface with the surface production equipment and workflows:

Software will connect surface and subsurface technologies with automation and control systems, modeling and simulation systems, and human operations. The Industrial Internet of Things and AI are driving the speed and scale at which Big Data can be translated into actionable findings and reproduced across asset value chains.

Read the article for more on how this translates into improved operational performance, opens opportunities for scenario-based analysis, and enables greater reservoir model refinement through the increased flow of data and predictive analytics.

Visit the Oil & Gas industry section of and Emerson’s Paradigm exploration & production software site for more on solutions across the value chain from onshore & offshore exploration and production to transportation and storage. You can also connect and interact with other oil & gas experts in the Oil & Gas group in the Emerson Exchange 365 community.

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The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.

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