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Ditemukan 3 dari pencarian Anda melalui kata kunci: subject="Particle swarm optimi...
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Enhanced permeability prediction in porous media using particle swarm optimiz…
Komentar Bagikan
Zhiping ChenJia ZhangDaren ZhangXiaolin ChangWei Zhou

Accurately and efficiently predicting the permeability of porous media is essential for addressing a wide range of hydrogeological issues. However, the complexity of porous media often limits the effectiveness of individual prediction methods. This study introduces a novel Particle Swarm Optimization-based Permeability Integrated Prediction model (PSO-PIP), which incorporates a particle swarm o…

Edisi
Vol.5, December 2024
ISBN/ISSN
2666-5441
Deskripsi Fisik
12 hlm PDF, 9.874 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
cover
Seismic swarm intelligence inversion with sparse probability distribution of …
Komentar Bagikan
Zhiguo WangJinghuai GaoBing ZhangZhaoqi Gao

Seismic inversion, such as velocity and impedance, is an ill-posed problem. To solve this problem, swarm intelligence (SI) algorithms have been increasingly applied as the global optimization approach, such as differential evolution (DE) and particle swarm optimization (PSO). Based on the well logs, the sparse probability distribution (PD) of the reflectivity distribution is spatial stationarit…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
8 hlm PDF, 5.630 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
cover
Synthetic shear sonic log generation utilizing hybrid machine learning techni…
Komentar Bagikan
Jongkook Kim

Compressional and shear sonic logs (DTC and DTS, respectively) are one of the effective means for determining petrophysical/geomechanical properties. However, the DTS log has limited availability mainly due to high acquisition costs. This study introduces a hybrid machine learning approach to generating synthetic DTS logs. Five wireline logs such as gamma ray (GR), density (RHOB), neutron poros…

Edisi
Vol.3, December 2022
ISBN/ISSN
2666-5441
Deskripsi Fisik
18 hlm PDF, 19.380 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551