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High-performance Workflow Automation with Big Loop on AWS

June 03, 2021
This presentation is now available for viewing.


Taha Taha, Technical Product Manager, Emerson E&P Software
Dmitriy Tishechkin, Partner Global Tech Lead, Oil and Gas, AWS

Product: Big Loop™



Future digital evolution of reservoir development and management will come from the full automation of multidisciplinary subsurface workflows. The output of these are reservoir models used for forecasting reservoir behavior that are systematically and automatically updated by incorporating the latest petrophysical, geophysical, geological, and production data. The incorporation of all these data provide an evolving view of the asset, and critically, of forecast uncertainty.

This presentation will show a history matching study using an ensemble-based workflow that tightly integrates the static and dynamic domains. Subsurface uncertainties captured at every stage of the interpretative, modeling and predictive processes, are used as inputs within an automated repeatable workflow. By adjusting these inputs, an ensemble of models is created, and their likelihoods constrained by observations within an iterative loop. The result is multiple calibrated models that are consistent with the underlying geology and the observed production data. It is effectively a digital twin of the reservoir with an improved predictive ability that provides a realistic assessment of uncertainty associated with production forecasts.

We illustrate this workflow with data from Volve, a North Sea oil field on the Norwegian continental shelf. The study is conducted in an AWS cloud-hosted environment.  The impact of the AWS cloud is profound; overall project time is reduced from weeks to days without typical limitations on the number of simultaneous runs. Results are available within hours instead of days, allowing same-day evaluation for faster decisions and improved operational efficiency. Moreover, enhanced stochastic analyses are now possible for those without high-performance on-premise clusters.


Taha-Taha_sm.jpgTaha Taha is a Technical Product Manager in Emerson E&P Software. His responsibilities include reservoir engineering and uncertainty management. Previously he worked as a research fellow at Oxford University. He holds a DPhil in Chemical Engineering from Oxford University.

Dmitry-Tischeckin-AWS.jpgDmitriy Tishechkin has over 20 years of experience in architecting and delivering enterprise solutions to customers, and is a 15-year veteran of the energy industry. For close to 4 years at Amazon Web Services, Dmitriy has been working with partner communities to build, migrate, and launch their Exploration and Production workflows to AWS. After work, Dmitriy spends time with his family and plays table tennis.