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SPE Workshop: Geothermal Digital and Automation
4–5 June 2024 | The Chifley Houston, Tapestry Collection by Hilton | Houston, Texas

SPE Logo

SPE Workshop: Geothermal Digital and Automation
4–5 June 2024 | The Chifley Houston, Tapestry Collection by Hilton | Houston, Texas

Schedule

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Schedule

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0700
  1. 60 mins
0800
  1. 10 mins
0810
  1. 20 mins

    Moderator:  Camilo Mejia, Enovate

    Speaker:  Jack Lewnard , U.S. Department of Energy

0830
  1. 90 mins

    Chairs: Ayon Dey, MathWorks; Pejman Omrani, TNO

    We are proud to facilitate this gathering of leaders featuring discussions, success stories, and demos highlighting how organizations are using digital technology to accelerate development and optimize geothermal operations in the energy industry. This session provides an opportunity to showcase and discuss state-of-the-art innovations using data analytics, machine learning, and artificial intelligence in the areas of drilling, petroleum engineering and geosciences as applied to digital geothermal innovations. 

    Presentations: 

    • On the Path to Unlocking the Earth's Heat Energy at Scale: Advances in Using AI and ML for Geothermal Resource Evaluations
      Jon Wallace, Viage
    • Applying the Lessons Learnt from Oil & Gas Operations Optimization Powered by AI/ML to Geothermal Operations
      Sunil Garg, dataVediK

     

1000
  1. 30 mins
1030
  1. 90 mins

    Chairs: Mayank Tyagi, Louisiana State University; Camilo Mejia, Enovate

    This session will describe the critical components of the surface plant performance and the data-driven factors for electricity production and heat extraction. Data-driven performance is paramount for higher efficiencies, increased safety and optimization focus. Mechanical designs and performance metrics are the target for this session. IoT infrastructure, machine learning modeling, predictive maintenance, turbine automation, energy optimization, electricity forecasting and edge technologies.

    Presentations: 

    • Digital Environmental Claims
      Richard Dwelle , Blockchain For Energy 
    • 5G Power Plants 
      Rebecca Nye, Enovate
1200
  1. 90 mins
1330
  1. 90 mins

    Chairs: Susan Nash, AAPG; Birol Dindoruk, University of Houston

    The geology of geothermal reservoirs is critical in the identification and development of all types of geothermal reservoirs, whether traditional hot-rock, sedimentary, or enhanced geothermal systems. In this session, we will discuss geothermal reservoirs, the typical geometries, aspects of heat distribution, and the importance of understanding the lithology, geological history, and the geochemistry of both the fluids and the reservoir rocks.

    Presentations:

    • Often Overlooked Geological Factors in Developing and Operating Geothermal Reservoirs
      Susan Nash, AAPG
    • TBD
      Mayank Tyagi , Louisiana State University

    • TBD
      TBD

1500
  1. 30 mins
1530
  1. 90 mins

    Chairs: Myank Tyagi, Louisiana State University; Hani Elshahawi, NoviDigiTech

    Digital twins, a concept that originated in the aerospace industry, refers to the creation of a digital replica of a physical entity. This digital counterpart can be used to simulate, predict, and optimize the performance of its physical twin, thereby reducing costs, improving efficiency, and mitigating risks. Geothermal presents unique engineering challenges which include pushing the drilling envelope, the corrosive nature of geothermal fluids, and the difficulty of predicting the behavior of geothermal reservoirs. The application of digital twin technology in geothermal power plants allows operators to monitor the plant's performance in real-time, using data collected from sensors installed throughout the plant. The data can include temperature, pressure, flow rates, and other key operational parameters. More generally, the application of digital twins can revolutionize the way geothermal projects are designed, operated, and maintained by providing a virtual platform for testing and optimization.

    Presentations:

    • Integrated Modelling of a Closed Loop Borehole Heat Exchanger: Addressing Design and Operational Aspects of Repurposing Old Oil and Gas Wells for Geothermal Energy Production
      Stian Engebretsen, Aspen Technology
    • A Digital Twin for Decision Support in Production and Operation of Geothermal Assets
      Jonah Poort, TNO
    • Electromagnetic, Thermal, and Hydrodynamic Modeling of Wellbores
      Maxim Volkov, TGT Diagnostics
1700
  1. 90 mins
0700
  1. 60 mins
0800
  1. 90 mins

    Chairs: Jesus Capo, Halliburton; Mohamed Khaled, University of Texas at Austin

    This session will focus on pioneering innovations in geothermal drilling, driven by automation and digitization for increased efficiency. Delve into the latest advancements reshaping the landscape of geothermal drilling technologies and practices. Explore how autonomous directional drilling, data-driven approaches, automated processes, and rig innovations are revolutionizing the field. Join us to gain insights into the future of geothermal drilling and its crucial role in sustainable energy solutions.

    Presentations:

    • Autonomous Directional Drilling
      Ziad Akkaoui, SLB
    • Leveraging Drilling Data to Increase Efficiency in Developing Unconventional Geothermal Systems
      Taylor Wolf, Dustin Hornok, Helmerich & Payne
    • Geothermal Heat and Power Anywhere – Automation in Well Construction
      Alex Vetsak, Eavor

     

0930
  1. 30 mins
1000
  1. 90 mins

    Chairs: Sushma Bhan, Ikon Science; Pushpesh Sharma, Aspen Technology

    This session delves into the multifaceted role of data in geothermal systems, highlighting its significance in resource assessment, reservoir characterization, and plant performance monitoring. Advanced geological surveys, seismic studies, and temperature gradient analyses contribute to a comprehensive understanding of subsurface conditions, aiding in the identification of viable geothermal reservoirs. Additionally, real-time data from well sensors, production monitoring, and environmental variables empower operators to fine-tune plant operations for maximum efficiency and longevity. Data is the key for the integration of machine learning algorithms and predictive modeling which further enhances the predictive capabilities of geothermal systems, enabling proactive maintenance and minimizing downtime.

    Presentations:

    • Predictively Forecasting Subsurface Data Valuation for Greenfield Geothermal Development
      Luke Frash, Los Almos National Lab
    • Mining Hot Insights from Lukewarm Data: A Case Study for Exploratory Resource Prediction
      Chadwick Holmes, Chevron
    • Semi-Automated Interpretation of Thin-Sections for Characterization of Geothermal Reservoirs
      Ayon Dey, MathWorks

     

1130
  1. 90 mins
1300
  1. 90 mins

    Chairs: Nefeli Moridis, NVIDIA; Silviu Livescu, University of Texas at Austin

    As the demand for sustainable energy solutions intensifies, the geothermal sector is increasingly turning to data analytics and automation to revolutionize its operations and increase efficiency. This panel discussion will explore the critical role these technologies play in the development and optimization of geothermal energy projects. The session will provide insights into the latest advancements in automation and data-driven technologies that are set to redefine geothermal energy systems. Panelists will discuss the integration challenges and successes, including the adaptation of technologies from oil & gas sectors to geothermal applications, and how these can be leveraged to enhance drilling accuracy, optimize resource management, and improve predictive maintenance strategies. Additionally, the discussion will highlight the importance of data security and ethical considerations in the management of data-rich environments. By bringing together industry experts, technologists, and researchers, this panel aims to shed light on the transformative potential of automation and data analytics in driving the geothermal industry forward.

    Speakers:

    • TBD
    • TBD
    • TBD
1430
  1. 30 mins

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