This year we will offer two panels and two keynote speeches for the STC 2021.
Hydrogen Panel with Hagen Bültemeyer, Matthieu Keime, Markus Pichler and Carsten Reekers
Topic: Storing hydrogen in an increasingly complex energy landscape
Thursday 14:00-15:30 CET
This panel discusses the transformation of existing underground gas storage as well as need for new hydrogen underground storage with focus on transformation challenges and how it storing hydrogen will be different from storing natural gas.
- Hagen Bültemeyer
- Matthieu Keime
- Markus Pichler
- Carsten Reekers
The panel is moderated by Ingo Forstner and Kai Stricker. You will have the opportunity to field you own questions, too, using Slido-software.
Young Professional Panel with Oscar Grijalva Meza, Joshua Siwert and Joschka Röth
Topic: Effect of the future energy landscape on society
Wednesday 11:15-12:45 CET
The panel gives you the opportunity to learn more about our panelists, their life and career, learn from their experiences and you may ask your most burning questions to these young experts of the industry.
Oscar Grijalva Meza
The panel is moderated by Rasoul Foroutan and Kerstin Kogler.
Keynote Speech by Prof. Shahab D. Mohaghegh
(West Virginia University & Intelligent Solutions Inc.)
State of Artificial Intelligence and Machine Learning in Petroleum Industry
Interest in the application of Artificial Intelligence and Machine Learning in the Petroleum Industry has been increasing, specifically among the young professionals. Exposing the new generation of petroleum professionals to realistic science and philosophy of Artificial Intelligence along with its engineering application is an important part of the future of Petroleum Engineering.
While the business and marketing characteristics of what claims to be AI and Machine Learning is incredibly active in our industry, unfortunately, the realistic version of AI has been minimally used (if at all) in our industry. Lack of realistic understanding of the science and philosophy of Artificial Intelligence has resulted in the application of “traditional statistics”, “inclusion of mathematical equations for data generation”, and “non-engineering application of machine learning algorithms” in petroleum engineering, while being called an AI-based modeling.
This presentation covers the state of AI and Machine Learning in our industry while explaining what the realistic approach of this technology in our industry should be.
Keynote Speech by Prof. Dr. Martin Saar
Turning CO2 into heat, electrons and cold while storing it
Carbon capture and permanent geologic storage (CCS) can be utilized (U) threefold to 1) generate geothermal power, 2) provide grid-scale energy storage that can increase the penetration of variable renewable energies (wind and solar), and 3) operate as a heat sink that provides cold (e.g. for district cooling), constituting a CCU3S system:
U1: The base system is a so-called CO2-Plume Geothermal (CPG) power plant, where captured CO2 is circulated underground in deep saline aquifers or oil/gas reservoirs (e.g. during enhanced oil or gas recovery). In these reservoirs, the CO2 is naturally geothermally heated, produced to the surface, where it is expanded in a turbine to generate electricity, cooled, compressed, and then combined with any CO2 stream, from a CO2 emitter, before it is reinjected into the subsurface reservoir. The reinjection results in the continued growth of the subsurface CO2 plume and ensures that 100% of the subsurface-injected CO2 is eventually permanently stored underground.
U2: For subsurface (solar/wind) energy storage, the CPG CO2 cycle is separated into two operations (energy discharge and energy storage) by temporarily storing the CO2, after expansion in the turbine and subsequent cooling, either in a shallow (~1 km deep) reservoir or in a gasometer. For energy storage, the CO2 is released from the shallow reservoir or the gasometer and reinjected into the deep (~2.5 km deep), and thus warm, “geothermal” reservoir. This type of subsurface (solar/wind) energy storage in the deep/warm reservoir, is highly efficient, as geothermal energy is added during pressurized CO2 (energy) storage underground, is massive (in the several GWh range, i.e. at the power-grid scale), and has a small surface footprint.
U3: The above CPG system version with a gasometer can be configured so that a heat sink (cold source) results, enabling, for example, district cooling, powered by geothermal energy, which is in addition to power generation.
The result is a system that can support the following four processes that. Can occur simulatneously: 1) CO2-based geothermal energy extraction and conversion to electricity at about twice the efficiency of standard groundwater-based geothermal power plants, 2) massive, highly efficient and high-energy-density subsurface energy storage, 3) district cooling, and 4) geologic CO2 storage of 100% of the injected CO2. As the first three processes are CO2-utilization technologies, this system constitutes a true combined CCU3S technology.
STC 2017 and 2019 Impressions of the Panels and Keynote Speeches