3-D Inversion Based on the Particle Swarm Optimization-Quasi-Newton Hybrid Algorithm for SOTEM
Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The short offset transient electromagnetic method (SOTEM) has become one of the main methods for coal hydrogeology investigations and mineral explorations due to its performance advantages of high precision, large depth abilities, and high efficiency. At the present time, due to the computational complexity and memory requirements for 3D SOTEM inversion algorithms, SOTEM data inversion is mainly based on 1D, which has made it difficult to meet fine detection requirements under complex geological conditions. In this study, a particle swarm optimization-quasi-Newton hybrid algorithm (PSO-QN) was proposed, with high precision and fast 3D inversions of SOTEM data achieved. In addition, flight strategy was introduced in order to ensure the global optimization of individual particles, and a weighting strategy was adopted to avoid falling into local minimums. The 3D inversions of the SOTEM data were tested based on a variety of geoelectric models. The results showed that the dependence of the PSO-QN hybrid algorithm on the number of particle swarms had been dropped to two thirds. Furthermore, the calculation time was significantly reduced to one third. The inversion results of the field data revealed that the proposed inversion method possessed a strong anti-noise capacity, high speed, good stability, and high resolution.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- 3-D Inversion Based on the Particle Swarm Optimization-Quasi-Newton Hybrid Algorithm for SOTEM
- Date Crossref
- 01/01/2023
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
Chinese Academy of Sciences Innovation Academy for Earth Sciences pays non établi dans la noticeOrganisme public
-
Institute of Geology and Geophysics pays non établi dans la noticeStructure de recherche
-
University of Chinese Academy of Sciences pays non établi dans la noticeUniversité ou école supérieure
-
Key Laboratory of Mineral Resources pays non établi dans la noticeStructure de recherche
-
College of Earth and Planetary Sciences pays non établi dans la noticeUniversité ou école supérieure
Innovation Academy for Earth Sciences — Chinese Academy of Sciences, Institute of Geology and Geophysics et University of Chinese Academy of Sciences, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.