| 曾琴琴.基于预优共轭梯度的磁化强度反演方法及应用[J].地质与勘探,2014,50(4):756-762 |
| 基于预优共轭梯度的磁化强度反演方法及应用 |
| Magnetization inversion method based on preconditioned conjugate gradient?algorithm and its application |
| 投稿时间：2013-12-27 修订日期：2014-05-31 |
| DOI： |
| 中文关键词: 预优共轭梯度 深度加权预优因子 磁化强度反演 北衙铁金矿区 |
| 英文关键词: preconditioned conjugate gradient, depth weighted preconditioned factor, magnetization inversion, Beiya iron-gold deposit |
| 基金项目:中国地质调查局地质调查工作项目（编号1212011120918、1212011220249和12120113051500）联合资助 |
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| 中文摘要: |
| 基于预优共轭梯度算法的反演方法在求解磁化强度大规模欠定线性方程组时可以改善方程组的条件数，并提高算法的纵向分辨率。该方法对磁性体形状无要求，且收敛速度快、稳定性好，能较直观地反映磁性体特征。本文通过理论模型试验结果分析证明了基于预优共轭梯度的磁化强度反演方法的稳定可靠性，北衙铁金矿区万硐山矿段L32线磁异常反演结果表明了该方法应用于实际资料处理与解释的有效性和可靠性。 |
| 英文摘要: |
| The inversion method based on?preconditioned conjugate gradient?algorithm is used to solve?large-scale?underdetermined?linear magnetization equations, which can improve condition number?of equations and the vertical resolution of the algorithm.?This method?not only has no requirements on magnetic body?shape, but also has a fast convergence speed and good stability, with which, the characteristics of the magnetic?bodies can be reflected more intuitively. Theoretical model test proves this method is stable, reliable and speedy, and the practical magnetic data inversion result of exploration line L32 in the Wandongshan ore section of Beiya?iron-gold deposit also?indicates the effectiveness and reliability of this method for the?practical data processing and interpretation. |
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