| Title | Integrated real-time geothermal operational optimization and improvement using a robust data management, visualization, and diagnostic analytics platforms as a digital transformation |
|---|---|
| Authors | F.K. Mustofa, M.V. Hamza, E.P. Meliala, H.N. Azizah, A. Suparyanto, F. Simamora, R.F.S. Ajie, M. Thasril |
| Year | 2023 |
| Conference | New Zealand Geothermal Workshop |
| Keywords | Digital Transformation, Operational Improvement, Asset Performance Management |
| Abstract | Indonesia has substantial geothermal potential, and the country’s government is committed to exploiting it, both for economic reasons and to meet its obligations as a signatory of the Paris Agreement on the climate change. A digital transformation is one of the main driver for optimizing the geothermal operational production. It has been deployed in Dieng and Patuha geothermal field by integrating steam field to power plant real-time operational data into a data management system platform, which is located on the Head Quarter office server. A previous method for collecting the operational data in Dieng and Patuha fields was still using paper-based and non real-time data. By end of 2022, there was a digital initiative programme to transform it into a paperless system. By collecting the operational data, tagging from the OPC DA and Modbus Ethernet at both Dieng and Patuha fields, then it can be recorded into data management archive storage. After capturing all the operational data tagging, some formulae can be created in the asset framework environment and used to publishing these tags by utilizing a module in the database builder. Operational data visualization also has been developed, displaying real-time steam field and power plant operational parameter trends. The advancement in technology like IoT, machine learning, advanced data analytics, and artificial intelligence could be applied to the geothermal operational data based on this platform. These technologies will offer substantial opportunities for technology advancement and cost reduction throughout the geothermal operational improvements. This paper describes some advanced data analytics, and visualization of trends from the steam field to power plant area that could help engineers to make a quick and concise operational improvements. |