Offshore infrastructure stability is controlled by deep-water shallow sediments, and the geotechnical-acoustic correlation between the two enables geological property prediction from acoustic waves. However, existing models often rely on limited sediment types or regional data, constraining their generalizability across a range of marine environments. This study presents a novel predictive model that uses a theoretical framework extending Biot's theory to integrate key geotechnical properties-clay content, density, water content, and shear strength-with acoustic parameters. By establishing the theoretical relationship between sediment parameters and acoustic responses, P-wave velocity and attenuation coefficients are computed under a range of conditions. Single-factor predictive models for each geotechnical property are derived through numerical fitting and rigorously validated against experimental data. These individual models are subsequently integrated into a comprehensive multi-factor model using multiple linear regression. Analysis of variance and Spearman’s correlation analysis statistically confirm that these four parameters exert a significant and substantial influence on acoustic wave behavior. The capability of the model to simultaneously invert for multiple geotechnical properties from acoustic datasets makes it a practical tool for pre-drilling sediment characterization, enabling a more reliable, non-invasive method for site investigation that can reduce planning risks and costs. By improving the accuracy of sediment property assessment, the model contributes directly to enhanced geohazard identification and mitigation strategies, thereby promoting greater safety in the development of deep-water marine resources.