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The development of geo-energy resources, including oil, gas, and geothermal reservoirs, is being transformed through the creation of low-energy processes and innovative technologies. This Special Issue compiles cutting-edge research aimed at enhancing efficiency, sustainability, and recovery during geo-energy extraction. The published studies explore a diverse range of methodologies, such as the nanofluidic analysis of shale oil phase transitions, deep electrical resistivity tomography for geothermal exploration, and hybrid AI-driven production prediction models. Their key themes include hydraulic fracturing optimization, CO₂ injection dynamics, geothermal reservoir simulation, and competitive gas–water adsorption in ultra-deep reservoirs, and these studies combine advanced numerical modeling, experimental techniques, and field applications to address challenges in unconventional reservoirs, geothermal energy exploitation, and enhanced oil recovery. By bridging theoretical insights with practical engineering solutions, this Special Issue provides a comprehensive foundation for future innovations in low-energy geo-energy development. Full article

Geoenergy resources are a new type of clean energy. Carbon neutralization and carbon peaking require significant system reform in the field of energy supply. As a clean, low-carbon, stable and continuous non carbon-based energy, geothermal energy can provide an important guarantee for achieving this goal. Different from the direct way of obtaining energy, ground energy indirectly obtains heat energy from shallow soil and surface water. The vigorous development of geoenergy resources under China’s carbon neutrality goal plays an important role in energy conservation and emission reduction. However, the current carbon trading market is not understood by the public. Therefore, this paper aims to analyze the impact of geoenergy resources on promoting sustainable digital marketing models. Every country around the world is working hard to meet its carbon neutrality goal. This paper analyzed the economic goal of carbon neutrality by analyzing the principle of the carbon trading market. For this reason, this paper designed a carbon trading price prediction algorithm based on the BP neural network (BPNN), which can predict prices in the carbon trading market in order to promote the accurate push of the digital marketing model and finally drive ground energy resources to promote a sustainable digital marketing model. The experimental results of this paper have proved that the price error rate of the BPNN carbon trading price prediction algorithm designed in this paper was within 10%, which was about 20% smaller than the traditional multiple regression analysis algorithm. This proved that the algorithm in this paper has a good performance and can provide accurate information to allow the digital marketing model to achieve sustainable digital marketing. Full article

The “European Green Deal” has ambitious aims, such as net-zero greenhouse gas emissions by 2050. While the European Union aims to make its energies greener, Russia pursues power-goals based on its status as a geo-energy superpower. A successful “European Green Deal” would have the up-to-now underestimated geopolitical advantage of making the European Union less dependent on Russian hydrocarbons. In this article, we illustrate Russian power-politics and its geopolitical implications by analyzing the illustrative case of the North Caucasus, which has been traditionally a strategic region for Russia. The present article describes and analyses the impact of Russian intervention in the North Caucasian secessionist conflict since 1991 and its importance in terms of natural resources, especially hydrocarbons. The geopolitical power secured by Russia in the North Caucasian conflict has important implications for European Union’s energy supply security and could be regarded as a strong argument in favor of the “European Green Deal”. Full article