Esearch on an improved particle swarm optimization algorithm for inversion of element yield in pulse neutron gamma formation element logging
The physical problem of element yield inversion is transformed into a mathematical problem of solving overdetermined equations, then the particle swarm optimization algorithm is used to find the optimal solution of the system of equations to obtain the yield of formation elements. During th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
VINCA Institute of Nuclear Sciences
2025-01-01
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| Series: | Nuclear Technology and Radiation Protection |
| Subjects: | |
| Online Access: | https://doiserbia.nb.rs/img/doi/1451-3994/2025/1451-39942501037X.pdf |
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| Summary: | The physical problem of element yield inversion is transformed into a
mathematical problem of solving overdetermined equations, then the particle
swarm optimization algorithm is used to find the optimal solution of the
system of equations to obtain the yield of formation elements. During the
inversion process, relevant parameters such as the objective function, inertia weight factor, and learning factor are designed and optimized to make
the particle swarm optimization algorithm more suitable for gamma spectrum
signal processing, avoiding local extremum problems during the optimization
process and improving the accuracy of element yield inversion. The
calculation results show that compared with the traditional least squares
method, the particle swarm optimization algorithm used in this paper can
effectively invert the multi-peak gamma spectrum signal, with high inversion
accuracy, and can effectively calculate the yield of trace elements. |
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| ISSN: | 1451-3994 1452-8185 |