摘要
近年来自然电位法在海底硫化物资源的勘探和评价中发挥了重要作用。本文开展的是基于PARDISO直接求解器的3D自然电位正反演算法研究。首先,利用有限体积法离散自然电位控制方程,采用PARDISO直接求解器提高正演计算的效率,通过数值解与解析解对比,验证了正演算法的可靠性。其次,在3D反演算法中考虑了地形因素,同时将最小支撑约束与深度加权加入目标泛函中,理论模型数据的反演结果很好地恢复了矿体的结构。最后,利用该算法对室内沙箱实验获得的自然电位数据进行反演,结果显示得出的电流密度异常与金属棒的位置基本一致。因此,本文提出的反演算法在未来大规模自然电位数据反演中具有重要作用。
In recent years,the self-potential method has played a significant role in the exploration and evaluation of seafloor massive sulfide resources.This study explored the 3D forward and inverse modeling algorithms for self-potential based on the PARDISO direct solver.First,the finite volume method was employed to discretize the self-potential control equation,and the PARDISO direct solver was utilized to improve the forward modeling efficiency.The reliability of the forward modeling algorithm was verified by comparing the numerical solution with the analytical solution.The 3D inverse modeling algorithm considered the topographic factor and incorporated the minimum support constraint and depth weighting into the objective function.The inversion results of theoretical model data effectively reconstructed the ore body structure.Finally,the self-potential data obtained from indoor sandbox experiments were inverted using the inverse modeling algorithm,obtaining that the current density anomaly was roughly consistent with the position of the metal bar.Therefore,the inverse modeling algorithm proposed in this study holds critical significance for subsequent inversion of large-scale spontaneous potential data.
作者
苏朝阳
沈金松
罗辉
SU Zhao-Yang;SHEN Jin-Song;LUO Hui(College of Geophysics,China University of Petroleum(Beijing),Beijing102249,China;Production Operation Management Department,SINOPEC Northwest Oil Field Company,Urumqi842100,China)
出处
《物探与化探》
CAS
2024年第2期451-460,共10页
Geophysical and Geochemical Exploration
基金
国家自然科学基金项目(42074217)。
