Research on correction method of borehole response in slim hole array lateral logging based on PSO-BP hybrid model prediction

Research on correction method of borehole response in slim hole array lateral logging based on PSO-BP hybrid model prediction

Abstract In the field of oil and gas exploration engineering, logging data is the key information for obtaining subsurface oil and gas reservoir information. Geophysicists establish accurate formation models through comprehensive logging curve data and then formulate oil and gas development strategi...

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Bibliographic Details
Main Authors: Zhiqiang Li, Shaojie Xing, Junyan Lin, Fangong Li, Jianye Wang, Xiaohui Song, Wei Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Slim hole array lateral logging
Borehole correction coefficient
BP neural network
Particle swarm optimization (PSO)
Online Access:https://doi.org/10.1038/s41598-025-99893-x
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