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This is a Quantitative Study study.

October 18, 2025Open Access

Applying the One-to-One-Based Optimizer (OOBO) Algorithm for One-Dimensional Inversion Modeling of Magnetotellurics Data

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Authors

WJWahyu Eko Junian YSYudha StyawanSumatera Institute of Technology NPNugroho Prasetyo

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Implication

This study demonstrates the enhanced accuracy of magnetotellurics inversion modeling using the OOBO algorithm, suggesting improved efficiency and consistency.

Key Points

The OOBO algorithm achieved a root mean square error of 5.98% for a four-layer model, outpacing traditional methods.
Inversion modeling with OOBO on synthetic data successfully reduced local minima traps, leading to improved resistivity accuracy.
The method also effectively handled field data, showcasing its versatility in exploring complex model spaces.
Compared to probabilistic approaches, OOBO provided more consistent solutions with smaller uncertainty ranges.

Cite This Study

Junian et al. (2025) studied this question.

synapsesocial.com/papers/68f396388da44caaba02c801 https://doi.org/10.21203/rs.3.rs-7626158/v1

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Implication

This study demonstrates the enhanced accuracy of magnetotellurics inversion modeling using the OOBO algorithm, suggesting improved efficiency and consistency.

Applying the One-to-One-Based Optimizer (OOBO) Algorithm for One-Dimensional Inversion Modeling of Magnetotellurics Data

Discussion

Member takes

Implication

Key Points

Cite This Study

Applying the One-to-One-Based Optimizer (OOBO) Algorithm for One-Dimensional Inversion Modeling of Magnetotellurics Data

Discussion

Member takes

Implication

Key Points

Cite This Study

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