Date Monday, 24 March
Time 00:00 – 00:00 CET
Digitalization is revolutionizing the geothermal and carbon capture and storage (CCS) sectors by enhancing efficiency and innovation. In this session, we will explore how digital tools and technologies are transforming these industries, from data analytics to real-time monitoring. Our presenters will discuss the latest advancements in digital solutions that optimize geothermal energy production and improve the effectiveness of CCS projects. They will share insights on how digitalization can reduce costs, increase operational efficiency, and support sustainable practices. Join us to discover how embracing digital transformation can unlock new opportunities and drive progress in geothermal and CCS initiatives.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
Generative AI and large language models have captured the attention of the world with multiple successful applications. Many people changed the way of working across multiple domains of professional and personal life. Adapting generative models to specific energy domains such as geology, geoscience and subsurface applications, is promising to process more data, accelerate time to decision and reduce uncertainty. Yet, to specify a suitable approach tailoring a model to a particular problem can be challenging, and raise a series of questions when attempting to commercialize a prototype:
1) How much greater is the value or net benefit of the AI solution compared to the existing method in place?
2) Can it work in an enterprise IT set up? Is it safeguarded against data leaks and legal consequences?
3) Does the required infrastructure exist and can it be maintained?
4) How can GenAI and LLM solutions be properly evaluated?
5) What’s the user expectations for such a system? Does it require a change in perception of what is ‘acceptable’ and ‘useful.’
We would like to share the journeys of a few examples from prototype to commercial use, both successes and failures that can provide key insights on how to approach this new, and rapidly evolving technology from the perspective of a subsurface organization, share experiences, and work toward best practice recommendations.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
Forecasting well production and other key variables in reservoir engineering is a cornerstone of field development and optimization, applicable in Oil & Gas as well as in emerging subsurface industries like Geothermal. Over recent decades, the demand for increased efficiency in this process, coupled with the rise of digital twins for high-frequency operation monitoring, has spurred the adoption of data-driven and statistical methods alongside traditional physics-based simulators. In this context, a range of Machine Learning techniques has shown great promise in providing computationally effective yet precise predictions of near-future production values. This session will convene international experts from academia, startups, and energy companies to discuss new advancements and practical case studies in this rapidly evolving field. Topics of discussion may include the benefits of emerging neural architectures, the integration of physical and statistical methods in hybrid models, and common challenges such as data integration, model validation, and the implementation of recent technologies in history matching and operational workflows. Join us for insightful discussions at the intersection of engineering, physics, subsurface modeling, and data science!
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
Remote sensing and data forecasting are revolutionizing the energy landscape by providing unprecedented insights into renewable energy resources and energy demand. In this session, we will explore the latest advancements in remote sensing technologies and data forecasting methods that are transforming the energy sector. Our presenters will discuss the various ways in which remote sensing and data forecasting can be used to support energy transition efforts, including improving the accuracy of energy resource assessments, enhancing forecasting capabilities, and optimizing energy system management. Case studies will highlight the successful application of remote sensing and data forecasting in various energy transition contexts, demonstrating their potential to drive innovation and improvement in the sector.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
In today’s energy sector, the role of geoscience is crucial in driving sustainable solutions. Effective data management and utilization are key to this process. The Open Subsurface Data Universe (OSDU) is poised to meet the challenges of the modern energy industry by enhancing data interoperability and operational efficiency. In this dedicated session, our presenters will share their recent experiences and solutions for implementing OSDU. They will discuss how it can streamline operations, improve decision-making, and deliver significant business value. Join us to explore the transformative potential of OSDU in optimizing energy sector operations.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
In an era where technology is rapidly redefining industries, the energy sector stands at the forefront of this transformation. The application of Artificial Intelligence (AI) and Generative AI (GenAI) for Operational Technologies (OT) is an opportunity for intelligent design of processes, optimize exploration & production and smarter decision making. This dedicated session will dive into the practical applications and transformative impacts of these technologies within the energy industry, showcasing real-world examples and groundbreaking advancements.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
This session will provide an in-depth exploration of the methods of calibrating machine learning models and their predictions from the perspectives of both creators and the end users such as geoscientists and engineers. Attendees will gain insights into the processes, validation techniques, and challenges faced by both groups.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
This session will explore methodologies currently employed at an organisation scale and project level scale to measure and track value added by the implementation of digital technologies in the oil and gas or energy industry. The intent is to communicate discrete examples on value tracking pre and post investment as the methodologies may be different and explore some of the challenges with value tracking at different scales and with time.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Date Monday, 24 March
Time 00:00 – 00:00 CET
This session aims to provide geoscientists with a comprehensive overview to help them embark on digital projects, such as application development. The session will take the form of a panel/interactive presentation featuring discipline experts in Geoscience and Digital.
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Instructor Name Company/Title
Our members, volunteers, and sponsors are the fuel that power this organisation. We can use Questionpro’s free survey templates to constantly keep in touch with them, understand their expectations and work towards their satisfaction with this simple yet robust tool.
Prof. Dr Dominique Guérillot, former member of the Executive Committee of IFP and Program Director for the Upstream R&D of Saudi Aramco, he is focusing in Oil and Gas Exploration and Production including Unconventional, CO2 EOR and Carbon storage. After a PhD in Applied Mathematics, he joined IFP in 1982 in the Reservoir Engineering Dpt.
He started his career in the Exploration and Production sector developing Expert system for selecting EOR methods and Advanced Compositional Reservoir Simulators for EOR (CO2 and thermal methods).
In 1985, he began cooperating with geologists and he invented with the Paris School of Mines the first software package integrating reservoir characterization and flow simulations in porous media proposing innovative methods for upscaling absolute permeabilities.
After being the Director of the Geology and Geochemistry (95-01, in 2001, he became member of the Executive Committee of IFP and Managing Director of Exploration and Reservoir Engineering Centre with a total budget of 30 Millions of Euros. Consequently, IFP nominated him as board member of several Exploration and Production subsidiaries of IFP: Beicip-Franlab and RSI in France, IFP MEC in Bahrain, etc. He developed new strategic orientations for the business unit he was in charge modifying its business model to generate revenues based on royalties through the development of several strategic marketed software for IFP.
In 2009, he created a Young Innovative Company (YIC), Terra 3E, in Energy and Environment: http://www.Terra3E.com developing innovative plug-ins in Petrel software among which the first tool for accurate calculations of fluids in place for gas and oil shales and upscaling transmissivities. From 2010 to 2013, he was senior expert for Petrobras, Brazil.
In 2012, he served the European Commission for selecting R&D projects on CO2 Storage. In 2013, Qatar Petroleum called Dominique Guérillot for developing their R&D Centre at the Qatar Sciences and Technology park in Doha, Qatar. He is currently full professor at Texas A&M University in their campus of Qatar.
He published more than 50 full and refereed papers, holds 5 patents, is member of the IJOGCT editorial team, the SPE and EAGE associations, is referee of the Oil & Gas Science and Technology (OGST), and member of the editorial board of the Petroleum Geoscience journal of the Geological Society.