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非线性算法在寻找全局最优解方面具有巨大优势,因而目前大量用于各种地球物理数据的联合反演中。利用一种改进型的遗传算法实现了井地磁测资料的联合反演。设计了二度板状体模型,理论模型的试验说明了方法的可行性和合理性。最后利用程潮铁矿区地面、井中的实际资料和解释结果进行了不同干扰情况下的井地磁测资料联合反演,结果表明井地联合反演有一定的抗干扰能力,其反演方法效果优于地面或井中单独数据反演。
Nonlinear algorithms have great advantages in finding the global optimal solution, and are widely used in the joint inversion of various geophysical data. Using a modified genetic algorithm to achieve well joint geomagnetic survey data inversion. The second-order plate-body model is designed. The test of the theoretical model shows the feasibility and rationality of the method. In the end, the joint inversion of well data is performed with the actual data and interpretation results from the surface and well of the Chengchao iron ore mine. The results show that the joint well inversion has some anti-interference ability and the inversion method is superior to Inversion of individual data in the ground or well.