Collaborative Experiment for Pulsed Radar Visualization of Water Flow Paths in Snow

2000 ◽  
Author(s):  
M. W. Williams ◽  
W. T. Pfeffer ◽  
M. Knoll
Keyword(s):  
Water Flow ◽  
Flow Paths ◽  
Water Flow Paths

Water flow paths are hotspots for the dissemination of antibiotic resistance in soil

Chemosphere ◽  
2018 ◽  
Vol 193 ◽  
pp. 1198-1206 ◽  
Author(s):  
K. Lüneberg ◽  
B. Prado ◽  
M. Broszat ◽  
P. Dalkmann ◽  
D. Díaz ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Water Flow ◽  
Flow Paths ◽  
Water Flow Paths

Plant communities along preferential superficial water flow paths across a floodplain landscape

Ecohydrology ◽  
2019 ◽  
Vol 12 (6) ◽  
Author(s):  
Ilda Entraigas ◽  
Natalia Vercelli ◽  
Luisa Fajardo
Keyword(s):  
Water Flow ◽  
Plant Communities ◽  
Flow Paths ◽  
Water Flow Paths

scholarly journals Water Intrusion Characterization in Naturally Fractured Gas Reservoir Based on Spatial DFN Connectivity Analysis

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4235
Author(s):  
Pengyu Chen ◽  
Mauricio Fiallos-Torres ◽  
Yuzhong Xing ◽  
Wei Yu ◽  
Chunqiu Guo ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Water Flow ◽  
Fracture Network ◽  
Connectivity Analysis ◽  
Fracture Networks ◽  
Flow Paths ◽  
Water Intrusion ◽  
Discrete Fracture ◽  
Single Well ◽  
Water Flow Paths

In this study, the non-intrusive embedded discrete fracture model (EDFM) in combination with the Oda method are employed to characterize natural fracture networks fast and accurately, by identifying the dominant water flow paths through spatial connectivity analysis. The purpose of this study is to present a successful field case application in which a novel workflow integrates field data, discrete fracture network (DFN), and production analysis with spatial fracture connectivity analysis to characterize dominant flow paths for water intrusion in a field-scale numerical simulation. Initially, the water intrusion of single-well sector models was history matched. Then, resulting parameters of the single-well models were incorporated into the full field model, and the pressure and water breakthrough of all the producing wells were matched. Finally, forecast results were evaluated. Consequently, one of the findings is that wellbore connectivity to the fracture network has a considerable effect on characterizing the water intrusion in fractured gas reservoirs. Additionally, dominant water flow paths within the fracture network, easily modeled by EDFM as effective fracture zones, aid in understanding and predicting the water intrusion phenomena. Therefore, fracture clustering as shortest paths from the water contacts to the wellbore endorses the results of the numerical simulation. Finally, matching the breakthrough time depends on merging responses from multiple dominant water flow paths within the distributions of the fracture network. The conclusions of this investigation are crucial to field modeling and the decision-making process of well operation by anticipating water intrusion behavior through probable flow paths within the fracture networks.

Elucidating Ground-Water Flow Paths in a Desert Terrane by Geochemical Methods

Ground Water ◽  
1990 ◽  
Vol 28 (4) ◽  
pp. 551-558 ◽  
Author(s):  
Steven J. Fritz ◽  
Hector J. Lopez ◽  
Michael P. Wilson
Keyword(s):  
Ground Water ◽  
Water Flow ◽  
Ground Water Flow ◽  
Flow Paths ◽  
Water Flow Paths

scholarly journals Permeability Prediction of Iron Tailings Including Degree of Compaction and Structure

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Deqing Gan ◽  
Xi Yang ◽  
Yunpeng Zhang
Keyword(s):  
Water Flow ◽  
Critical Pressure ◽  
Clay Content ◽  
Vital Role ◽  
Tailings Dam ◽  
Flow Paths ◽  
Silt Content ◽  
The Stability ◽  
Granulometric Characteristics ◽  
Water Flow Paths

The stability of iron tailings dam is affected by the permeability of tailings. Considering the influence of it, it is necessary to analyze the permeability of tailings so as to prevent the recurrence of Brazilian iron tailings dam accidents. Nevertheless, the results of iron tailings permeability from some prediction equations (Terzaghi equation, Hazen equation, and Kozeny equation) cannot be accurate. Iron tailings are various as they can be divided into three categories: (1) silt content is less than 40%; (2) silt content is more than 40%, while clay content is less than 15%; and (3) clay content is more than 15% and less than 30%. Correspondingly, three equations are proposed to calculate the disturbed and iron undisturbed tailings permeability for the three types. And more accurate results come from it. The water-flow paths of the iron tailings are blocked after compaction, and the critical pressure of iron tailings blockage is 200 kPa. Although the porosity is large, some of the pores are isolated from each other when the pressure is larger than 200 kPa. However, porosity becomes too large for permeability calculation after compaction and the calculated permeability gets larger as well (equations (24)–(26)). Correcting the permeability calculation equations is an absolute must. The calculated permeability by the revised equations becomes more accurate (equations (27)–(29)). In fact, the granulometric characteristics necessarily play a vital role in the evolution of the pore interconnections by blocking the water-flow paths and modifying the morphological parameters. More research studies are required to be done in the future.

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