Application of machine learning and deep learning in geothermal resource development: Trends and perspectives

A Al‐Fakih, A Abdulraheem… - … Underground Science and …, 2024 - Wiley Online Library
This study delves into the latest advancements in machine learning and deep learning
applications in geothermal resource development, extending the analysis up to 2024. It …

Risk assessment through feature, event, and process for repurposing suspended oil and gas wells for geothermal purposes

K Abid, AFB Velasquez, A Sharma, AN McSheridan… - Renewable Energy, 2024 - Elsevier
Many countries have set the goal of net zero carbon emission and are diverting their energy
source towards renewables. In that respect, geothermal energy is a continuous renewable …

Decarbonising primary industries with geothermal heat–a pathway to greater direct use

C Wells, A Seward, A Barr, Y Carden… - New Zealand Journal of …, 2024 - Taylor & Francis
This paper discusses the opportunities and policy levers to increase the use of low-
temperature geothermal resources in New Zealand for decarbonising primary industries, in …

Numerical and analytical models of the mechanism of torque and axial load transmission in a shock absorber for drilling oil, gas and geothermal wells

S Landar, A Velychkovych… - Engineering Solid …, 2024 - m.growingscience.com
The paper proposes an improved design of a shock absorber used in drilling deep oil and
gas and geothermal wells with polycrystalline diamond compact (PDC) bits. The proposed …

Nem lehet mindenhol mindent, de mindenhol lehet valamit–Geotermikus energia hasznosítás lehetőségei a hazai ellátás diverzifikálása érdekében

J Mádlné Szőnyi, Á Markó, T Tóthi - Scientia et Securitas, 2024 - akjournals.com
The need to exploit the favourable geothermal potential has emerged in Hungary due to the
war-induced energy crisis. In this paper, we present the geothermal conditions of Hungary …