1710 papers
This study proposes and validates a gas-assisted acidizing technology that effectively removes deep plugging (≥3 m) in Bohai Oilfield polymer-flooded heavy-oil reservoirs by alternating nitrogen and acid injection to enhance penetration and permeability recovery, resulting in significant production increases in field tests.
This study proposes and validates a data-driven decision-support framework that integrates Six Sigma DMAIC with machine learning, time-series forecasting, FMEA, and SPC to enable predictive quality management and reduce defects in high-volume FMCG biscuit manufacturing.
This study proposes and validates a cost-effective, modular Substrate Integrated Waveguide (SIW) architecture featuring octagonal patch antenna arrays that achieve high gain (up to 15 dBi) and nearly 80% efficiency for 38 GHz millimeter-wave applications through scalable single-layer and stacked designs.
This paper proposes a high-precision measurement method for ruby balls that combines dark field imaging with an improved multi-scale adaptive Canny algorithm, achieving sub-micron accuracy and superior robustness against noise compared to traditional techniques.
This study demonstrates that incorporating SiO₂ nanoparticles into a furan-based polymeric fluid significantly enhances the unconfined compressive strength and thermal stability of chemical sand consolidation in unconsolidated petroleum wells while preserving reservoir permeability, offering a robust and cost-effective alternative to conventional mechanical sand-control methods.
This study investigates the axial and seismic performance of aluminum alloy tube–concrete long columns through validated finite element analysis and cyclic loading simulations, revealing distinct failure mechanisms for different cross-sections and proposing a machine-learning-enhanced damage model that outperforms the conventional Park–Ang approach for accurate seismic assessment.
HipeX is a fast, lightweight aerothermodynamic analysis tool that utilizes local surface inclination methods and blended boundary-layer models to reliably predict aerodynamic coefficients and surface heat fluxes for hypersonic vehicle design, as validated against CFD data for the HEXAFLY-INT configuration.
This study proposes an integrated multi-horizon groundwater forecasting framework that combines optimal missing-data reconstruction with hyperbolic deep learning to effectively address observational gaps and reduce error accumulation in long-term predictions, demonstrating superior stability and accuracy compared to conventional deep learning architectures.
This study utilizes FLAC3D numerical simulations to determine that a 1.0m thick, C25-strength sealing wall offers the optimal balance of displacement control and strain management for shallow-buried connecting roadways under intensive mining pressure, leading to the development and application of a rapid, vehicle-mounted flexible formwork construction technology.
This study proposes a green wave coordinated signal optimization method based on a localized VISSIM-MOVES simulation platform and a multi-parameter collaborative model to simultaneously minimize carbon emissions and improve arterial traffic efficiency, demonstrating significant reductions in vehicle delay, stops, and total emissions.