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SSA-XGBoost model based high-precision density prediction method for well logging
NUCLEAR PHYSICS, INTERDISCIPLINARY RESEARCH | 更新时间：2025-01-07
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    • SSA-XGBoost model based high-precision density prediction method for well logging

    • “In the field of density logging in complex rock formations, experts use machine learning models to improve data accuracy. The SSA XGBoost model has higher prediction accuracy than traditional methods and has application prospects.”
    • NUCLEAR TECHNIQUES   Vol. 47, Issue 12, Article number: 120502(2024)

    • DOI：10.11889/j.0253-3219.2024.hjs.47.120502    

      CLC： TL99;TE19

    • Received：25 April 2024，

      Revised：17 August 2024，

      Published：15 December 2024

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  • LI Rui,WU Wensheng.SSA-XGBoost model based high-precision density prediction method for well logging[J].NUCLEAR TECHNIQUES,2024,47(12):120502. DOI： 10.11889/j.0253-3219.2024.hjs.47.120502. CSTR： 32193.14.hjs.CN31-1342/TL.2024.47.120502.

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