Inversion of surface nuclear magnetic resonance data by an adapted Monte Carlo method applied to water resource characterization
Inversion of surface nuclear magnetic resonance data by an adapted Monte Carlo method applied to water resource characterization
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DOI：
10.1016/s0926-9851(02)00139-8
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发表时间：
2002-05-01
影响因子：
2
通讯作者：
Legchenko, A
中科院分区：
文献类型：
--
作者：
Guillen, A;Legchenko, A
地面核磁共振反演（SNMR）提供了关于含水层的重要信息，如含水层的深度、厚度、孔隙大小和含水量。不同的方法（逆二次，线性规划）已被应用到SNMR数据反演问题，但尚未有任何尝试，探索模型空间。我们建议，这里提出的蒙特卡罗方法的适应是适合探索与SNMR数据一致的解决方案。我们还证明了这种方法应用于SNMR数据的解释与合成和现场数据反演的例子的能力。我们还表明，该方法可以用来获得各种结果，如后验水分布与深度和后验孔径分布与深度。(C)2002 Elsevier Science B.V.保留所有权利。
Inversion of surface nuclear magnetic resonance (SNMR) provides important information about aquifers, such as their depths, thickness, pore size and water content. Different methods (inverse quadratic, linear programming) have been applied to the problem of SNMR data inversion, but there has not yet been any attempt to explore model space. We propose that an adaptation of the Monte Carlo method presented here is suitable for exploring the set of solutions consistent with SNMR data. We also demonstrate the capability of this method applied to the interpretation of SNMR data with examples of both synthetic and field data inversions. We also show that the method can be used to obtain various results, such as a posteriori water distribution with depth and a posteriori pore-size distribution with depth. (C) 2002 Elsevier Science B.V. All rights reserved.