- 责任者：Lin Tingting (Key Laboratory of Geo-Exploration Instrumentation ; Ministry of Education ; Jilin University ; Changchun 130026 ; China) ; Jiang Chuandong
- 刊名：Chinese Journal of Geophysics
- 出版年：2013
- 卷期：56(11)
- 关键词：核磁共振法 ; nuclear magnetic resonance methods
- 页码：p.3651-3662
- 图表：11 illus., 2 tables, 25 refs.
- 分类号：1600
- issnNo：ISSN0001-5733
- isbnNo：CN11-2074/P
Magnetic Resonance Sounding （MRS） has received much attention of geophysicists due to its qualitative and quantitative features in detection of groundwater.In traditional studies,people are limited to one-dimensional of instruments and interpretation methods based on layering aquifer models,which makes well location difficult in complex geological contexts and small water bodies in non-uniform aquifers not easy to identify in inversion interpretation.To solve these problems,this paper proposes a two-dimensional MRS distributed detection strategy.It builds on the non-uniform property of the excitation field,defines a detection profile angle α,and deduces a MRS response kernel function of distributed receiver coil.By realizing the 2D forward calculation,we explore the relationship between angle variations and detection sensitivity.In addition,it is the first time that Occam inversion is used for two-dimensional data interpretation of MRS,and magnetic resonance tomography （MRT） technique is accomplished.In the modeling calculation,the applicable scope of distributed MRS detection is estimated objectively by setting different positions of aquifers as well as the changes of environmental noise.Antecedent theory can promote instrument improvement.The research group successtully developed the MRS distributed detection system through designing distributed receiver unit,adjusting receiving coil number and the number of turns and setting amplifier adaptive parameters.This method can be used in groundwater evaluation.The results of this study can also provide a powerful scientific basis for positioning of fissure water,assessment of dam leakage water hazard and 3D accurate detection of karst aquifers.