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SPE Distinguished Lecturer Presentation at Innargi, September 23
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Date and time
Tuesday 23. September 2025 at 17:00 to 20:30
Registration Deadline
Monday 22. September 2025 at 16:00
Location
Innargi A/S,
Amerika Pl. 29, 2100 København Ø,
2100 København Ø
Innargi A/S
Amerika Pl. 29, 2100 København Ø
2100 København Ø
On the Intersection of Production Technology, Geothermal Energy, and Data Science
The September 2025 SPE Distingushied Lecturer event will be hosted by Innargi in Copenhagen.
Date: September 23
Program
- 17:00 - 18:00 Drinks & Networking
- 18:00 - 18:15 Welcome and Presentation by Lars Petersen, COO of Innargi
- 18:15 - 19:00 Presentation by SPE Distinguished Lecturer Pejman Shoeibi Omrani
- Light dinner and dessert
Innargi
The company finances, develops, constructs, and operates large-scale geothermal heating plants for district heating companies, unlocking the potential of geothermal energy on an industrial scale.
SPE DL Speaker
Pejman is a top senior scientist, leads TNO's Production Optimization and AI teams in the energy transition unit. With almost 15 years of experience, he pioneers digital technologies in geo-energy systems, flow assurance, and data-driven decision support for real-time production enhancement across sectors like oil and gas and geothermal energy.
Abstract
Abstract
Geothermal energy has the potential to play a critical role in decarbonizing energy systems by providing reliable baseload heating and power. However, production and operational challenges such as injectivity decline, artificial lift failures, and flow assurance issues like scaling and corrosion, which are very common in petroleum systems, can compromise efficiency and increase costs. Reactive approaches to these issues often result in higher operational expenditures (OPEX) and hinder the broader adoption of geothermal systems. The industry is increasingly leveraging advancements in data acquisition and data science to enhance operational efficiency. By integrating monitoring data with unstructured information, decision support tools can be developed to proactively address challenges and optimize performance. Drawing lessons from the petroleum sector, this lecture provides examples on geothermal operational challenges with a special focus on electrical submersible pumps and integrating digital tools and models to improve the production and operation. This presentation bridges geothermal energy operation, data science, and production technologies to offer insights relevant to both geothermal and petroleum sectors. The content can be tailored to address key interests in operational optimization, data analytics, or artificial lift systems.
Geothermal energy has the potential to play a critical role in decarbonizing energy systems by providing reliable baseload heating and power. However, production and operational challenges such as injectivity decline, artificial lift failures, and flow assurance issues like scaling and corrosion, which are very common in petroleum systems, can compromise efficiency and increase costs. Reactive approaches to these issues often result in higher operational expenditures (OPEX) and hinder the broader adoption of geothermal systems. The industry is increasingly leveraging advancements in data acquisition and data science to enhance operational efficiency. By integrating monitoring data with unstructured information, decision support tools can be developed to proactively address challenges and optimize performance. Drawing lessons from the petroleum sector, this lecture provides examples on geothermal operational challenges with a special focus on electrical submersible pumps and integrating digital tools and models to improve the production and operation. This presentation bridges geothermal energy operation, data science, and production technologies to offer insights relevant to both geothermal and petroleum sectors. The content can be tailored to address key interests in operational optimization, data analytics, or artificial lift systems.
Takeaway
Data-driven decision-making, adapted to the unique characteristics of geothermal assets, can improve operational efficiency and reliability.
Data-driven decision-making, adapted to the unique characteristics of geothermal assets, can improve operational efficiency and reliability.
Best Regards,
SPE-CPH
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SPE-CPH
Natalia
Phone: +45 50315176
natalia.krygier@innargi.com
Registration
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Organizer Contact Information
SPE-CPH
Natalia
Phone: +45 50315176
natalia.krygier@innargi.com