Hydraulic fracturing is moving from experience-based operations to intelligent control. A new study in Engineering introduces an AI-driven framework for subsurface hydraulic fracturing, featuring data-driven analysis, dynamic optimization, and autonomous decision-making. It uses dedicated deep learning models to predict fractures, warn of risks, and forecast production, forming a closed-loop intelligent system. The work also points out current challenges and future directions, supporting the digital shift in unconventional oil and gas development.

This study develops a replicable Transformative Service Ecosystem for Sustainable Operations Management (TSESOM) model to address research gaps and empower botanic gardens to deliver integrated sustainability, conservation and visitor economy outcomes.

This study evaluates the clinical efficacy and safety of modified deep lateral wall decompression surgery in thyroid-associated ophthalmopathy and optic neuropathy, demonstrating significant postoperative improvements in vision, exophthalmos, and intraocular pressure with a low rate of complications.