Research

A New Predictive Tool for Geothermal Clogging

Geothermal heating relies on hot groundwater circulating efficiently between underground reservoirs and the surface. When that flow becomes restricted, operators often have little warning before system performance declines. Ehsan Sabooniha has spent his PhD developing a predictive modelling tool that identifies when and where clogging is likely to occur.

PhD student Ehsan Sabooniha, DTU Offshore.
PhD student Ehsan Sabooniha, DTU Offshore.
Photo: Bax Lindhardt

Modelling the full system

"Operators mainly track pressure variations and try to infer what is happening from that," Ehsan says. "But those estimates are often uncertain, and by then it may already be too late."

The central ambition of his PhD project was to develop a predictive modelling tool that identifies when and where clogging is likely to occur. What distinguishes the approach is its scope: rather than treating the underground reservoir and surface infrastructure separately, the tool integrates both within a single coupled framework, linking subsurface conditions directly to system performance at the surface.

To complement the modelling work, Ehsan has conducted micromodel experiments in which clogging processes can be directly observed in porous media under controlled conditions. These experiments help clarify the underlying mechanisms while providing data to support model development.

Data availability has been a persistent challenge throughout the project. Most geothermal operational data is proprietary, limiting access for validation. To address this, Ehsan combined published datasets with systematic sensitivity analyses to assess how model outputs respond to uncertainty in input parameters. A collaboration with a geothermal company, initiated after a conference presentation, later provided an opportunity to apply the framework to real operational conditions.

"It turned out we were basically working on the same issues," he says.

Building on subsurface expertise

Ehsan joined DTU Offshore in February 2023, having studied petroleum engineering in Iran at Sharif University of Technology and Amirkabir University of Technology. His background is in subsurface fluid flow and reservoir behaviour, where many of the same physical processes apply. The transition to geothermal was, in this sense, a shift in application rather than discipline: the working fluid is water rather than hydrocarbons, and the objective is heat extraction rather than production of energy carriers.

Ehsan Sabooniha, PhD student at DTU Offshore.

From model to application

With his PhD nearing completion, Ehsan is finalising his thesis and preparing several scientific papers. He plans to continue as a postdoctoral researcher, focusing on validating the modelling framework using operational industry data while further developing DTU Offshore’s experimental capabilities for studying reactive transport processes in porous media.

He sees strong potential for geothermal energy in Denmark. Although the subsurface resource base is significant, utilisation remains limited. At the same time, interest from energy companies is increasing as new projects are explored.

"In the near future, you're going to hear a lot more about geothermal systems in Denmark," Ehsan says. "It is a sustainable energy source with strong potential for district heating."

Facts

Position: PhD Researcher, DTU Offshore

Educational background:

  • B.Sc. in Petroleum Engineering, Sharif University of Technology, 2011–2016
  • M.Sc. in Petroleum Engineering, Amirkabir University of Technology – Tehran Polytechnic, 2016–2019
  • PhD candidate, DTU Offshore, 2023–present

 

 

Contact

Ehsan Sabooniha

Ehsan Sabooniha PhD Student Danish Offshore Technology Centre Mobile: +4591748282