Improved adaptive regularization for simulated annealing inversion of transient electromagnetic
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an improved adaptive regularization method for geophysical inversion using very fast simulated annealing (VFSA). The new approach dynamically balances data fitting and stabilizing terms, enhancing convergence and reducing sensitivity to initial parameters in transient electromagnetic (TEM) data inversion.
Area Of Science
- Geophysics
- Computational Science
- Data Science
Background
- Geophysical inversion problems are often ill-posed, requiring regularization techniques.
- Adaptive regularization methods automatically update parameters during iteration, simplifying selection, especially in linear inversion.
- Few studies explore adaptive regularization within stochastic optimization algorithms due to challenges with random search directions and term variations.
Purpose Of The Study
- To develop an improved adaptive regularization method for stochastic optimization in geophysical inversion.
- To address the difficulties of applying adaptive regularization in algorithms like very fast simulated annealing (VFSA).
- To enhance the inversion of transient electromagnetic (TEM) data.
Main Methods
- An improved adaptive regularization method is proposed, considering contributions of data fitting and stabilizing terms in the objective function.
- The method dynamically adjusts these terms to achieve balance during inversion.
- The technique is applied within the very fast simulated annealing (VFSA) algorithm for transient electromagnetic (TEM) data inversion.
Main Results
- Numerical experiments demonstrate accelerated convergence of the inversion process.
- The inversion results show minimal sensitivity to the initial regularization parameter.
- The method effectively balances data fitting and stabilizing terms in the objective function.
Conclusions
- The proposed adaptive regularization method enhances VFSA inversion for TEM data.
- The technique improves convergence speed and robustness against initial parameter choices.
- Successful application to field data shows excellent agreement with borehole data, validating its practical utility.
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