New Advances in Low-Energy Processes for Geo-Energy Development

This Special Issue presents ten key studies focused on minimizing energy intensity across the geo-energy lifecycle. It is structured around three core themes: unconventional reservoir stimulation and wellbore engineering, data- and intelligence-driven production optimization, and subsurface storage safety with thermal property characterization. The first section introduces transformative low-energy stimulation and wellbore intensification strategies. Innovations include optimized asymmetric fracture networks for efficient proppant placement, integrated acidizing-flowback systems for deep offshore operations, and one-trip shape-memory completion tools that passively reinforce wellbores. The second part pioneers data- and intelligence-driven frameworks for optimization. Advanced deep learning models, such as CNN-BiGRU with multi-head attention and TCN-LSTM-AVOA workflows, achieve high accuracy in predicting downhole pressure and production dynamics. The final segment addresses enablers for sustainable systems, featuring a software tool for crack arrest assessment in CO¿ pipelines and integrated methods for predicting in situ rock thermal conductivity. These contributions enhance the safety of CCUS transport and support the low-energy design of geothermal systems. Collectively, this volume synthesizes experimental, computational, and field-applicable advances to reduce pumping energy, fluid circulation, and operational risks, charting a path toward a more efficient and sustainable geo-energy industry.