Artificial intelligence (AI) has become increasingly important in geothermal exploration,
significantly improving the efficiency of resource identification. This review examines current …

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 …

Lithology identification is an important aspect in reservoir characterization with one of its
main purpose of well planning and drilling activities. A faster and more effective lithology …

The demand for cost-effective drilling operations in oil and gas exploration is ever growing.
One of the important aspects to tackling the aforementioned difficulty is determining the …

Geothermal resources are characterized by hard rocks with very high temperatures making it
difficult to implement conventional tools for petrophysical analysis such as lithological …

The Earth is a vast energy reservoir. The US Department of Energy estimates that
harnessing just 0.1% of the Earth's geothermal energy can power humanity for 2 million …

In recent years, the usage of artificial intelligence (AI) has grown significantly, and its
implementation is now widespread across all industries worldwide. In terms of finances, the …

Geothermal energy, as a sustainable and renewable resource, holds immense promise for
power generation. However, persistent challenges related to drilling costs, reservoir …