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  • SPE LIVE - The Digital Twin for Production Optimization – with Emphasis on Compositional Modeling

    Wednesday, October 12, 2022, 03:00 PM - 03:30 PM CET
    A digital twin is essentially a digital representation of a physical system such as a well, pump, compressor, or a series of connected items. Sometimes, machine-learning algorithms can assist in analyzing large amounts of data within domains such as preventive maintenance. The value proposition of a digital twin is to have a complete overview of all fluid streams in the production and injection network to enable automation of production capacity planning subject to current and future constraints. The digital solution must be versatile, maintainable, accurate, and with a quick turnaround time to address dynamic changes in market demand as well as the supply side down to the individual wells. Integrated asset models (IAM) have been around for the past two decades or so. These models have become more sophisticated but also require more effort to maintain. The Digital Oil Field (DOF) orchestrates data exchange between different IT systems to feed a calibrated IAM model. An IAM-DOF system provides an up-to-date overview of all fluid streams to maximize value creation subject to a number of constraints. The digital solution must be versatile, maintainable, accurate, and with a quick turnaround time to address dynamic changes in market demand as well as the supply side. So far, digital twins have mainly focused on mimicking small, well-defined systems, whereas IAM models tend to address the bigger picture. Can we take the best from both worlds? Do you need to? And how would you go about developing such a technical solution? These are some of the aspects which we will discuss in this presentation. When you blend different fluid systems together, you need a robust fluid description at well level. Complicating factors may arise, such as compositional variation at reservoir level, gas coning as well as breakthrough of injection gas. Many such technical details must be factored in, without losing sight of the overall goal: to create more value.

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  • Samuel Krevor - From Digital Rocks to Gigatonne Scale CO2 Storage: Two Revolutions in One

    Monday, November 14, 2022, 12:00 PM - 01:00 PM CET
    Many assessments suggest that the widespread storage of CO2 in deep subsurface sedimentary rocks will be needed to avoid dangerous climate change. It is estimated that storage rates will be needed of the order 1-10 GtCO2 per year by 2050, as much fluid handling as in the oil & gas industry today. The management of individual storage sites is increasingly understood with a number of projects injecting at rates around a million tCO2 per year. However, challenges remain for the scale-up of injection rates to gigatonnes per year. Central to these challenges are the limitations to modelling and predicting injected CO2 movement and immobilization in the subsurface. I will present research in three areas in which digital rock techniques are used to analyse fluid dynamics and develop models of subsurface flow across scales: (1) an exploration of the pore scale fluid dynamics underlying the use of Darcy’s law to model two-phase flow (2) the upscaled impacts of small scale heterogeneity on CO2 migration and trapping, and (3) an analysis of the implications of climate change mitigation targets to growth rates and global resource capacity of subsurface CO2 storage. The one idea I would like the members to take away is that these revolutions can and will drive each other; Technology advance in digital rock reservoir characterisation is revolutionising our ability to manage subsurface fluids just at the moment that we need it to apply our skills as petroluem engineers in rising to the grand challenge of mitigating climate change.

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