Predicting real-time geothermal well flow rate and enthalpy with machine learning techniques

• Main Author: Agata Rostran Largaespada 1990-
• Other Authors: Háskólinn í Reykjavík
• Format: Master Thesis
• Language: English
• Published: 2024
• Subjects: Orkuverkfræði; Sustainable energy engineering; Meistaraprófsritgerðir; Jarðhitavinnsla; Rennslismælingar; Geothermal power plants; Geothermal resources; Flow meters; Bjarnarflag; Iceland
• Online Access: https://hdl.handle.net/1946/48691

Geothermal energy is a sustainable energy source offering reliable and renewable energy solutions. However, accurately measuring geothermal well output like flow rate and enthalpy for wells that produce a two-phase fluid remains challenging due to the complexity and infrequency of traditional method...