A finite element approach to forward modeling of nuclear magnetic resonance measurements in coupled pore systems

2019 ◽  
Vol 150 (15) ◽  
pp. 154708 ◽  
Author(s):  
Jonathan Mitchell ◽  
Andre Souza ◽  
Edmund Fordham ◽  
Austin Boyd
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Finite Element ◽  
Magnetic Resonance ◽  
Forward Modeling ◽  
Finite Element Approach ◽  
Element Approach ◽  
Nuclear Magnetic

scholarly journals Study on the Spatially Variable Saturated Hydraulic Conductivity and Deformation Behavior of Accumulation Reservoir Landslide Based on Surface Nuclear Magnetic Resonance Survey

2018 ◽  
Vol 2018 ◽  
pp. 1-15
Author(s):  
Shu Zhang ◽  
Yunshan Xiahou ◽  
Huiming Tang ◽  
Lei Huang ◽  
Xiao Liu ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Finite Element ◽  
Magnetic Resonance ◽  
Hydraulic Conductivity ◽  
Stress Analysis ◽  
Deformation Behavior ◽  
Saturated Hydraulic Conductivity ◽  
Three Gorges Reservoir Area ◽  
Baishuihe Landslide ◽  
Nuclear Magnetic

Saturated hydraulic conductivity (Ks) is spatially variable in accumulation landslide sites that exert significant effort onto landslide seepage and deformation behavior. To better understand spatial variability and the effect of Ks on the slide mass of an accumulation landslide, this study introduced the surface nuclear magnetic resonance (SNMR) technology to study a representative reservoir accumulation landslide field in the Three Gorges Reservoir area (TGRA), the Baishuihe landslide, to obtain a series of relative reliable spatial measurements of Ks effectively on the basis of calibration in terms of the field tests measurements. The estimated Ks values were distributed log-normally for the overall landslide mass site with a wide range of 3.00 × 10−6∼7.80 × 10−3 cm/s, which reaches about 3 orders of magnitude. Variogram analysis indicated that the Ks values have the range (A) of 295.89 m and 65.56 m for the overall site and major cross-sectional analysis, respectively. A finite-element seepage-stress analysis associated with a Kriging-interpolated spatial Ks variable calculation model based on the best-fitted theoretical variogram was subsequently performed to study the seepage and deformation behavior of the landslide. The available monitored data and simulated results of the finite-element seepage-stress analysis indicated that the Baishuihe landslide is a progressive landslide, and the main factor influencing the deformation is rainfall and reservoir water fluctuation. This study provides an unconventional framework for studying the heterogeneous geomaterial and contributes to a better understanding of the spatial variation of the hydraulic property of accumulation reservoir landslides at a field scale.

New approaches of 3D nuclear magnetic resonance inversion for improving fluid typing

2016 ◽  
Vol 4 (2) ◽  
pp. SF67-SF79 ◽  
Author(s):  
Songhua Chen ◽  
Wei Shao ◽  
Ron Balliet
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Forward Modeling ◽  
Inversion Method ◽  
Improved Method ◽  
3D Inversion ◽  
Nmr Logging ◽  
New Approaches ◽  
2D And 3D ◽  
Nuclear Magnetic

We have developed two new approaches for improving the efficiency and robostness of 2D and 3D inversion processing and interpretation from nuclear magnetic resonance (NMR) logging data. The first improved method consists of a dual-step inversion method to obtain [Formula: see text] and [Formula: see text] maps independently, rather than deriving one from the other. The second approach is an inversion-forward modeling-inversion technique for obtaining [Formula: see text] and [Formula: see text] maps using the same acquired data used for deriving [Formula: see text] and [Formula: see text] maps. Simulation results were evaluated to determine the improvement of the fluid typing interpretation and the robustness of the processing methods. Three actual wells of NMR logging data processing examples were also included to illustrate the utility of these methods for improving fluid typing involving various different combinations of reservoir fluids and mud filtrates.

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