Fluid infiltration, heat transport, and healing of microcracks in the damage zone of magmatic veins: Numerical modeling

2009 ◽  
Vol 114 (B5) ◽  
Author(s):  
Lars Engvik ◽  
Bernhard Stöckhert ◽  
Ane K. Engvik
Keyword(s):  
Numerical Modeling ◽  
Heat Transport ◽  
Damage Zone ◽  
Fluid Infiltration

Numerical Modeling of Soil Water–Heat Transport under Oxo-Biodegradable Film Mulch and the Optimal Mulching Period

2021 ◽  
Vol 147 (9) ◽  
pp. 04021035
Author(s):  
Yayang Feng ◽  
Haibin Shi ◽  
Xuesong Cao ◽  
Qingfeng Miao ◽  
Qiong Jia ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Soil Water ◽  
Heat Transport ◽  
Biodegradable Film

scholarly journals Numerical modeling of diffusive heat transport across magnetic islands and highly stochastic layers

2007 ◽  
Vol 14 (5) ◽  
pp. 052501 ◽  
Author(s):  
M. Hölzl ◽  
S. Günter ◽  
Q. Yu ◽  
K. Lackner
Keyword(s):  
Numerical Modeling ◽  
Heat Transport ◽  
Magnetic Islands

scholarly journals Petrophysical, Geochemical, and Hydrological Evidence for Extensive Fracture-Mediated Fluid and Heat Transport in the Alpine Fault's Hanging-Wall Damage Zone

2017 ◽  
Vol 18 (12) ◽  
pp. 4709-4732 ◽  
Author(s):  
John Townend ◽  
Rupert Sutherland ◽  
Virginia G. Toy ◽  
Mai-Linh Doan ◽  
Bernard Célérier ◽  
...  
Keyword(s):  
Heat Transport ◽  
Hanging Wall ◽  
Damage Zone

Numerical Modeling of Coupled Water Flow and Heat Transport in Soil and Snow

2016 ◽  
Vol 80 (2) ◽  
pp. 247-263 ◽  
Author(s):  
Thijs J. Kelleners ◽  
Jeremy Koonce ◽  
Rose Shillito ◽  
Jelle Dijkema ◽  
Markus Berli ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Heat Transport ◽  
Water Flow

Quantifying rates of landscape evolution and tectonic processes by thermochronology and numerical modeling of crustal heat transport using PECUBE

2012 ◽  
Vol 524-525 ◽  
pp. 1-28 ◽  
Author(s):  
Jean Braun ◽  
Peter van der Beek ◽  
Pierre Valla ◽  
Xavier Robert ◽  
Frédéric Herman ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Heat Transport ◽  
Landscape Evolution ◽  
Tectonic Processes

Numerical Modeling on Heat Transport Across Stochastic Magnetic Field

2016 ◽  
Vol 56 (9) ◽  
pp. 830-836
Author(s):  
Q. Wang ◽  
X. Zha ◽  
H. Lu ◽  
X. Wang ◽  
B. Wu ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Numerical Modeling ◽  
Heat Transport ◽  
Stochastic Magnetic Field

scholarly journals Geostatistical Interpolation of Subsurface Properties by Combining Measurements and Models

2018 ◽  
Author(s):  
Wolfram Rühaak ◽  
Kristian Bär ◽  
Ingo Sass
Keyword(s):  
Numerical Modeling ◽  
Heat Transport ◽  
Regional Scale ◽  
Measurement Data ◽  
Convective Transport ◽  
Temperature Measurements ◽  
Accurate Estimation ◽  
Conductive Heat ◽  
Subsurface Temperature ◽  
Thermal Anomalies

Subsurface temperature is the key parameter in geothermal exploration. An accurate estimation of the reservoir temperature is of high importance and usually done either by interpolation of borehole temperature measurement data or numerical modeling. However, temperature measurements at depths which are of interest for deep geothermal applications (usually deeper than 2 km) are generally sparse. A pure interpolation of such sparse data always involves large uncertainties and usually neglects knowledge of the 3D reservoir geometry or the rock and reservoir properties governing the heat transport. Classical numerical modeling approaches at regional scale usually only include conductive heat transport and do not reflect thermal anomalies along faults created by convective transport. These thermal anomalies however are usually the target of geothermal exploitation. Kriging with trend does allow including secondary data to improve the interpolation of the primary one. Using this approach temperature measurements of depths larger than 1,000 m of the federal state of Hessen/Germany have been interpolated in 3D. A 3D numerical conductive temperature model was used as secondary information. This way the interpolation result reflects thermal anomalies detected by direct temperature measurements as well as the geological structure. This results in a considerable quality increase of the subsurface temperature estimation.

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