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News

mdpi.com
mdpi.com > 2076-16/17/3417 > 8845

Applied Sciences, Vol. 16, Pages 8845: Characterization of Geothermal Reservoir Structures Based on a Deep Generative Neural Network with Local Edge Pattern Learning

1+ week, 17+ hour ago   (420+ words) Accurate three-dimensional (3D) characterization of geothermal reservoirs is crucial for resource assessment and development, yet it remains a significant challenge due to sparse direct observations and the complex, heterogeneous nature of subsurface geology. While deep learning has emerged as a powerful…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8812

Applied Sciences, Vol. 16, Pages 8812: Optimised Machine Learning for MASW-Based Zonation of Weak Alluvial Soils Using Anchor-Based SPT/SCPT Calibration

1+ week, 1+ day ago   (433+ words) Weak alluvial soils are difficult to delineate where penetration-test data are sparse and stiffness varies rapidly with depth. This study presents a novel goal-attainment-optimised machine learning framework that combines multichannel analysis of surface waves (MASW) with anchor-based standard penetration test…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8652

Applied Sciences, Vol. 16, Pages 8652: Basin-Wide Monitoring and PIM Parameter Inversion of Mining Subsidence Using UAV-LiDAR

1+ week, 5+ day ago   (473+ words) Accurate, comprehensive, and spatially continuous monitoring of mining-induced surface subsidence is essential for geohazard prevention, ecological restoration, and safe mining. Conventional approaches, however, are limited by the sparse spatial distribution of GNSS observations, the difficulty of InSAR in resolving large…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8422

Applied Sciences, Vol. 16, Pages 8422: Elastic Impedance Matrix-Based Reflectivity Approximation for Vertically Fractured Shales

2+ week, 5+ day ago   (501+ words) Shale is typically studied as a transversely isotropic medium with a vertical axis of symmetry (VTI). This model can be extended to vertical fractures in transversely isotropic (VFTI) media when the shale background contains a set of vertical fractures. The…...

mdpi.com
mdpi.com > 2076-16/17/3417 > 8360

Applied Sciences, Vol. 16, Pages 8360: Optimizing Machine Learning Models for Predicting Rock Cohesion and Angle of Internal Friction: A Comparative Study of Lithological Analysis, Robustness Assessment, and SHAP Explanations

3+ week, 18+ hour ago   (501+ words) Rock cohesion (c) and angle of internal friction (φ) are core parameters for rock mass stability analysis and engineering design; however, traditional triaxial tests are costly and time-consuming, limiting their availability in preliminary engineering assessments. To address this limitation, this study…...

mdpi.com
mdpi.com > 2076-16/16/3417 > 8131

Applied Sciences, Vol. 16, Pages 8131: Zonal Evolution and Fractal Characterization of Coal Fracture Networks Around Gas Drainage Boreholes

4+ week, 19+ hour ago   (569+ words) To elucidate the structural evolution of fracture networks around gas drainage boreholes and their controlling mechanisms on grouting sealing performance, a coal seam in the Zhongmacun Mine (No. 2-1 coal seam) was selected as the engineering background. An integrated approach combining…...

mdpi.com
mdpi.com > 2076-16/16/3417 > 7968

Applied Sciences, Vol. 16, Pages 7968: A Noise-Robust Deep Learning Framework with Hierarchical Attention for Rock Image Recognition Under Inaccurate Supervision

1+ mon, 2+ day ago   (499+ words) Rock image recognition based on deep learning serves as a critical task in intelligent geological analysis and core documentation. Although recent advances in deep learning have established the technical foundation for rock image identification, its practical deployment remains constrained by…...