Research Paper | Earth Science and Engineering | Indonesia | Volume 9 Issue 12, December 2020
Natural State Modeling for a Geothermal System using Artificial Intelligence
Sudjati Rachmat, Adrianto, Zuher Syihab
Natural state modelling of a geothermal system is the process of adjusting uncertain reservoir parameters until an acceptable match with the measured field data is achieved. Complexity and insufficient knowledge of reservoir characteristics make this process time-consuming with a high computational cost. This study aims to examine the application of Artificial Intelligence (AI) to improve the time and efforts required for completing a successful natural state modelling. A synthetic 2D model of a vapor-dominated geothermal system is built using TOUGH2-EOS1, and was used as the subject and ground truth of natural state matching. An AI model was created to perform natural state modelling, and play a role as a prototype for full-field reservoir simulation that runs in a few seconds.
Keywords: geothermal, natural state, artificial intelligence, neural network
Edition: Volume 9 Issue 12, December 2020
Pages: 107 - 109
How to Cite this Article?
Sudjati Rachmat, Adrianto, Zuher Syihab, "Natural State Modeling for a Geothermal System using Artificial Intelligence", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SR201201102622, Volume 9 Issue 12, December 2020, 107 - 109
Similar Articles with Keyword 'geothermal'
2D-Forward Modeling of Ground Magnetic Data of Homa-Hills Geothermal Prospect Area, Kenya
Adero Bernard, Odek Antony, Abuga Vincent, Githiri John, Willis Ambusso
Pressure Transients Test Analysis of Well OW-918 at Olkaria Domes Geothermal Field
Emmanuel Rionomakal, Nicholas Mariita, Jacques Varet, Solomon Namaswa