TLDR
The iQx well engineering and performance improvement software helped Deutsche Erdwärme turn drilling data into better planning confidence for future geothermal wells. At Graben-Neudorf, where the company completed Germany’s highest-temperature geothermal borehole at 4,000 metres and more than 200°C, the team used the platform to strengthen performance analysis, validate time and cost estimates, and support more efficient well delivery in the Karlsruhe region.
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A significant advancement for our client, Deutsche Erdwärme, as they have recently recorded a temperature exceeding 200°C from the geothermal water in their Graben-Neudorf geothermal plant project borehole.
Recently, the first testing well near Karlsruhe, in Germany, reached its completion and the outcomes of the drilling surpassed expectations. Consequently, the Graben-Neudorf-1 borehole now holds the distinction of being the highest-temperature borehole at the depth of 4,000 meters, at least in Germany.
iQx™ suite of well time and cost management solutions was used for successful completion of the first well in Graben-Neudorf geothermal plant.
What value did iQx suite of applications bring?
One of the immediate benefits of recording and analyzing experiences in iQx Experiences is the ability to identify what went well and what could have been improved during the drilling process. This self-assessment allows Deutsche Erdwaerme to fine-tune their procedures, equipment, and ultimately enhance their capabilities for next drilling in the project.
Another crucial aspect is measuring performance against initial estimates. The actual time and cost data collected in iQx tracker can be compared to the original projections modelled in iQx probabilistic time and cost estimation application, enabling the Deutsche Erdwaerme drilling team to gauge the accuracy of their predictions. This performance evaluation is vital not only for internal purposes but also for keeping stakeholders informed about the project's progress.
Furthermore, the data gathered is valuable for refining time and cost estimates for future wells and ensures that resources are allocated optimally.
