Geothermal drilling industry faces various challenges such as poor overall drilling confidence and performance, and lack of bottom hole awareness resulting in NPT, tripping time etc. OPTIDRILL concept was born to address and solve problems in drilling for geothermal resources that increases uncertainty and well construction costs. OPTIDRILL ´s innovative drilling advisory system is based on a combination of enhanced monitoring systems, multiple data-driven ML modules, each being responsible for either analysis, prediction, or optimization of one aspect of drilling or completion process. OPTIDRILL consortium, brings together highly experienced drillers, drilling project managers, engineers and operators, each having a different, yet complementary set of expertise in differing geological conditions, operating parameters and production end-goals. They will be providing data from various wells around the world. An enhanced monitoring system will be developed based on real time MWD systems as well as acoustic and vibration sensors. The automated machine learning analysis method will predict drilling parameters, using a real-time monitoring and optimization tool, as a unified system combining existing data and the newly developed methods, and finally, a coupled drilling optimization models to reduce overall geothermal drilling and production cost. The goal is to advise and support drilling operators in making informed decisions through real-time data, reducing many of uncertainties associated with drilling, which in term leads to less NPT, as the drilling can be more readily optimised to maintain good ROP, borehole control and address possible drilling issues, before they could impact operation. The OPTIDRILL Advisory System is NOT an attempt to just fully automate drill rig operations, but rather to enhance and digitize decision making and reporting, instrument and optimize the drilling process, and share and transfer this learning across subsequent future application.

Science4CleanEnergy, S4CE, is a multi-disciplinary consortium, of world-leading academics, research laboratories, SMEs and industries. S4CE will develop a project that includes fundamental studies of fluid transport and reactivity, development of new instruments and methods for the detection and quantification of emissions, micro-seismic events etc., lab and field testing of such new technologies, and the deployment of the successful detection and quantification technologies in sub-surface sites for continuous monitoring of the risks identified by the European Commission. S4CE leverages approximately 500M EUR in existing investments on 4 scientific field sites. S4CE will utilize monitoring data acquired during the project in these field sites on which (a) it will be possible to quantify the environmental impact of sub-surface geo-energy applications; (b) new technologies will be demonstrated; (c) data will be collected during the duration of the project, and potentially after the end of the project. Using reliable data, innovative analytical models and software, S4CE will quantify the likelihood of environmental risks ranging from fugitive emissions, water contamination, induced micro-seismicity, and local impacts. Such quantifications will have enormous positive societal consequences, because environmental risks will be prevented and mitigated. S4CE set up a probabilistic methodology to assess and mitigate both the short and the long term environmental risks connected to the exploration and exploitation of sub-surface geo-energy. S4CE will maintain a transparent dialogue with all stakeholders, including the public at large, the next generation of scientists, academics and industrial operators, including training of young post-graduate students and post-doctoral researchers. S4CE will deliver the independent assessment of the environmental footprint related to geo-energy sub-surface operations, having as primary impact the assistance to to policy making.