Subsurface Fluid Flow: Hydrology of Geothermal Systems

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-3
Author(s):  
Víctor Vilarrasa ◽  
Roman Y. Makhnenko ◽  
Francesco Parisio

2012 ◽  
Vol 323-324 ◽  
pp. 79-91 ◽  
Author(s):  
Wiebke Ziebis ◽  
James McManus ◽  
Timothy Ferdelman ◽  
Friederike Schmidt-Schierhorn ◽  
Wolfgang Bach ◽  
...  

2020 ◽  
Author(s):  
Kyung Won Chang ◽  
Gungor Beskardes ◽  
Chester Weiss

<p>Hydraulic stimulation is the process of initiating fractures in a target reservoir for subsurface energy resource management with applications in unconventional oil/gas and enhanced geothermal systems. The fracture characteristics (i.e., number, size and orientation with respect to the wellbore) determines the modified permeability field of the host rock and thus, numerical simulations of flow in fractured media are essential for estimating the anticipated change in reservoir productivity. However, numerical modeling of fluid flow in highly fractured media is challenging due to the explosive computational cost imposed by the explicit discretization of fractures at multiple length scales. A common strategy for mitigating this extreme cost is to crudely simplify the geometry of fracture network, thereby neglecting the important contributions made by all elements of the complex fracture system.</p><p>The proposed “Hierarchical Finite Element Method” (Hi-FEM; Weiss, Geophysics, 2017) reduces the comparatively insignificant dimensions of planar- and curvilinear-like features by translating them into integrated hydraulic conductivities, thus enabling cost-effective simulations with requisite solutions at material discontinuities without defining ad-hoc, heuristic, or empirically-estimated boundary conditions between fractures and the surrounding formation. By representing geometrical and geostatistical features of a given fracture network through the Hi-FEM computational framework, geometrically- and geomechanically-dependent fluid flow properly can now be modeled economically both within fractures as well as the surrounding medium, with a natural “physics-informed” coupling between the two.</p><p>SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.</p>


Geology ◽  
2016 ◽  
Vol 44 (4) ◽  
pp. 243-246 ◽  
Author(s):  
A. Reusch ◽  
J. Moernaut ◽  
F.S. Anselmetti ◽  
M. Strasser

2011 ◽  
Vol 51 (1) ◽  
pp. 527 ◽  
Author(s):  
Arcady Dyskin ◽  
Elena Pasternak ◽  
Greg Sevel ◽  
Rachel Cardell-Oliver

Monitoring subsurface fluid flow is important in mapping hydraulic fractures and identifying flow channels in reservoirs. A new monitoring technique is proposed whereby fluid is injected with smart actuators capable of organising their pulses to create a combined output with a higher proportion of energy at low frequencies. Ideally, the best results occur when actuators are sequentialised so each next actuator emits its pulse immediately after the previous actuator. The low frequency energy content achieved using sequentialisation is much higher than that achieved with a random distribution of pulses, but is relatively insensitive to practical errors in scheduling and irregular attenuations of amplitudes. Simulations show that actuators can be self-organised into a sequential state by monitoring other actuators’ pulses using the algorithm presented in this paper.


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