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SMART InitiativeScience-informed Machine Learning to Accelerate Real Time (SMART) Decisions in Subsurface Applications
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Primary GoalsSMART Initiative
Real-Time Forecasting“Advanced Control Room”
Real-Time Visualization“CT” for the Subsurface
Rapid PredictionVirtual Learning
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Technical Team
Science-informed Machine Learning to Accelerate Real Time (SMART) Decisions in Subsurface Applications
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Transformational Experience
Driving Safety
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Driving Safety
Transformational Experience
Oil & Gas/Carbon Storage
Pattern Recognition
Virtual Reality Learning
Autonomous Monitoring
Autonomous Control
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SMART Initiative
• Science-Informed• Machine Learning• Accelerating• Real• Time Decisions for Subsurface Applications
Programmatic Must-Haves…1. Transformational Products & Application(s)2. Quantifiable Goals3. Early Wins4. Industry Buy-in5. Leverage Existing Capabilities
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How can machine learning transform subsurface operations?
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Traditional approach
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How can machine learning transform subsurface operations?
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Transform SPEED&
AUTOMATION
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Lower Cost
How can machine learning transform subsurface operations?
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ReducedRisk
Faster
SPEED&
AUTOMATION
Transform
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Confluence of Data, Computational Capability, and Machine Learning
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Real-Time Forecasting“Advanced Control Room”
Rapid Data to KnowledgeAutonomous Monitoring
Real-Time Visualization“CT” for the Subsurface
Rapid PredictionVirtual Learning
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Current and Prior Fossil Energy Investments Enabling Machine Learning for the Subsurface
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Field Laboratories
Fundamental Studies
Data-Driven Approaches
Industry collaboratio
nsAcademi
a
DOE Labs
More than 40 recent field projects
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Real-Time Visualization
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Potential Technology PathwaysThree Imaging Targets1. Rock and fluid Properties2. Pressure/stress3. Faults and fracture networks
• Joint inversion• Multi-INT• Tonal-Noise Tomography
Vision: Transform reservoir management via dramatic improvements in subsurface visualization, exploiting ML to achieve speed and enhanced detail.
Real-Time Visualization“CT” for the Subsurface
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• How to adjust production rates and volumes in multiple wells to maximize recovery, sweep efficiency, …
• How to adjust CO2 injection & brine production in multiple wells to maximize storage and minimize pressure plume
• When and how to refrack an unconventional to increase total recovery
Shell.com
Real-Time Forecasting
Real-Time Forecasting“Advanced Control Room”
Vision: Transform “human-in-the-loop” decisions on reservoir management by rapid visualization of forecasted behavior for different operational decisions.
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Potential Operational Decisions
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Vision: Enable a virtual learning environment for exploring and testing strategies to optimize reservoir development, management, & monitoring prior to field activities.
Virtual Learning
Rapid PredictionVirtual Learning
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Virtual learning means experiential learning in a computer based environment that responds to a user’s actions in real time, simulating the behavior of the subsurface system based on physics-based knowledge.
Physics-based knowledge means that the relevant subsurface processes must be known, well characterized, and able to be simulated with high fidelity.
Real-time is enabled by (1) coupling the high fidelity simulations with rapid, empirical methods (e.g., machine learning) and (2) exploiting developments for rapid visualization gaming environments.
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VisIT
Dynamic GraphicsGEM
Visualization Capabilities
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Analogy for new visualization functionality
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Conceptual approach
Image credits: Miral Tawfik, Penn State University; Zuleima Karpyn, Penn State University; Raoof Gholami, Curtin University; Shawn Maxwell, IMaGE: Itasca Microseismic and Geomechanical Evaluation; Fathom Geophysics; Shuttersock; Gholamreza Khademi, Cleveland State University
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• Incorporates data and prediction• Fast and accurate
• Both static and dynamic features• Visualizes uncertainty• Incorporates different scales• Intuitive for the non-technical person
Goals for new visualization capabilities
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• Incorporates data and prediction• Fast and accurate
• Both static and dynamic features• Visualizes uncertainty• Incorporates different scales• Intuitive for the non-technical person
Goals for new visualization capabilities
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• Incorporates data and prediction• Fast and accurate
• Both static and dynamic features• Visualizes uncertainty• Incorporates different scales• Intuitive for the non-technical person
Goals for new visualization capabilities
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• Incorporates data and prediction• Fast and accurate
• Both static and dynamic features• Visualizes uncertainty• Incorporates different scales• Intuitive for the non-technical person
Goals for new visualization capabilities
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• Incorporates data and prediction• Fast and accurate
• Both static and dynamic features• Visualizes uncertainty• Incorporates different scales• Intuitive for the non-technical person
Goals for new visualization capabilities
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• Incorporates data and prediction• Fast and accurate
• Both static and dynamic features• Visualizes uncertainty• Incorporates different scales• Intuitive for the non-technical person
Goals for new visualization capabilities
What functionality do you need?
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@NationalEnergyTechnologyLaboratory
@NETL_DOE
@NETL_DOE
CONTACT:
Thank You!
Grant [email protected]