Study on Surface Nuclear Magnetic Resonance Inversion

摘要：

Surface nuclear magnetic resonance is widely used for groundwater exploration and aquifercharacterization. Inversion of surface nuclear magnetic resonance provides important information about aquifers, such as their depths, thickness and water content. In this paper, we simply introduced the basic principles of nuclear magnetic resonance firstly, and then we discussed the relationship between surface nuclear magnetic resonance one dimensional kernel and pulse moment, medium conductivity, depth. It was found that surface nuclear magnetic resonance maximum depth is superimposed for one value of pulse moment and has smaller maximum depth in the higher conductive medium. A water content of layers lying below highly conductive layer is severely underestimated. It was also found that the condition number of one dimensional kernel matrix is small in the insulating medium. We improved simulated annealing algorithm from parameter restrictive condition, model disturbance, adaptive optimization method, circulate method, objective function, Markov chain and so on. Finally, we inverted MRS data using singular value decomposition and improved simulated annealing algorithm.The experimental result of synthetic data shows inverting MRS data using SVD in insulating medium and improved simulated annealing algorithm are desirable.

关键词： SNMR SVD improved simulated annealing algorithm

作者: DAI Miao HU Xiangyun YANG Dikun

作者单位: Institute of Geophysics and Geomatics, China University of Geosciences,Wuhan 430074, China

会议类型: 国际会议

会议名称: The 19th International Workshop on Electromagnetic Induction in the Earth(第十九届国际地球电磁感应学术研讨会)

会议地点: 北京

会议语种:英文

页码: 603-608

在线出版日期: 2008-10-23（万方平台首次上网日期，不代表论文的发表时间）