| Abstract Submission No. | ABS-4.1-0030 |
| Title of Abstract | Quantum-Behaved Particle Swarm Optimization for Gravity Inversion over Sedimentary Basins |
| Authors | Aman Kumar Dubey*, Dr. Kuldeep Sarkar*, Prof. U. K. Singh |
| Organisation | IIT Bombay |
| Address | IIT(ISM),DHANBAD DHANBAD, JHARKHAND, India Pincode: 826004 E-mail: 23mc0006@iitism.ac.in |
| Country | India |
| Presentation | Poster |
| Abstract | Sedimentary basins are critical geological formations that host hydrocarbons, groundwater, and mineral resources. Accurate mapping of their basement depth and geometry is essential for understanding tectonic history and assessing resource potential. Gravity data provides an economical approach for investigating these structures, but its inversion is inherently ill-posed and non-unique, as multiple subsurface configurations can explain similar gravity anomalies. Traditional inversion methods, including advanced PSO variants, often rely on prior geological assumptions, require initial guesses, and are prone to slow convergence or entrapment in local minima. In this study, Quantum-behaved Particle Swarm Optimisation (QPSO) is applied for residual gravity data inversion of a sedimentary basin. Inspired by quantum mechanics, QPSO replaces classical velocity-based updates with probabilistic position updates, enabling more effective exploration of the solution space. The algorithm operates with a single control parameter and requires no prior geological information or initial model. Its probabilistic search mechanism ensures robust global exploration, fast and stable convergence, and avoidance of local traps that can limit conventional approaches. A comparative evaluation with advanced PSO algorithms demonstrates that QPSO consistently achieves lower RMSE errors, faster convergence, and more reliable inversion results. It also performs better in complex geological settings, reconstructing basement geometry with reduced uncertainty and higher accuracy. These results highlight QPSO's robustness and efficiency as a modern geophysical inversion tool. In summary, QPSO provides a simple yet powerful framework for modelling sedimentary basins and basement structures. Its combination of reliability, efficiency, and global search capability makes it a significant advancement in geophysical inversion, particularly for applications where accurate subsurface mapping and uncertainty reduction are critical. |
| Keywords | Sedimentary Basins, Gravity Inversion ,QPSO, Basement Modeling |