scholarly journals Three-dimensional geologic model of the northern Nevada rift and the Beowawe geothermal system, north-central Nevada

Geosphere ◽  
2007 ◽  
Vol 3 (6) ◽  
pp. 667 ◽  
Author(s):  
Janet T. Watt ◽  
Jonathan M.G. Glen ◽  
David A. John ◽  
David A. Ponce
2013 ◽  
Vol 119 (8) ◽  
pp. 519-526 ◽  
Author(s):  
Shinji Masumoto ◽  
Kiyoji Shiono ◽  
Tatsuya Nemoto ◽  
Susumu Nonogaki

Author(s):  
Alessio Fumagalli ◽  
Eirik Keilegavlen

The accurate description of fluid flow and transport in fractured porous media is of paramount importance to capture the macroscopic behavior of an oil reservoir, a geothermal system, or a CO2 sequestration site, to name few applications. The construction of accurate simulation models for flow in fractures is challenging due to the high ratio between a fracture’s length and width. In this paper, we present a mixed-dimensional Darcy problem which can represent the pressure and Darcy velocity in all the dimensions, i.e. in the rock matrix, in the fractures, and in their intersections. Moreover, we present a mixed-dimensional transport problem which, given the Darcy velocity, describes advection of a passive scalar into the fractured porous media. The approach can handle both conducting and blocking fractures. Our computational grids are created by coarsening of simplex tessellations that conform to the fracture’s surfaces. A suitable choice of the discrete approximation of the previous model, by virtual finite element and finite volume methods, allows us to simulate complex problems with a good balance of accuracy and computational cost. We illustrate the performance of our method by comparing to benchmark studies for two-dimensional fractured porous media, as well as a complex three-dimensional fracture geometry.


2022 ◽  
Vol 9 ◽  
Author(s):  
José P. Calderón ◽  
Luis A. Gallardo

Potential field data have long been used in geophysical exploration for archeological, mineral, and reservoir targets. For all these targets, the increased search of highly detailed three-dimensional subsurface volumes has also promoted the recollection of high-density contrast data sets. While there are several approaches to handle these large-scale inverse problems, most of them rely on either the extensive use of high-performance computing architectures or data-model compression strategies that may sacrifice some level of model resolution. We posit that the superposition and convolutional properties of the potential fields can be easily used to compress the information needed for data inversion and also to reduce significantly redundant mathematical computations. For this, we developed a convolution-based conjugate gradient 3D inversion algorithm for the most common types of potential field data. We demonstrate the performance of the algorithm using a resolution test and a synthetic experiment. We then apply our algorithm to gravity and magnetic data for a geothermal prospect in the Acoculco caldera in Mexico. The resulting three-dimensional model meaningfully determined the distribution of the existent volcanic infill in the caldera as well as the interrelation of various intrusions in the basement of the area. We propose that these intrusive bodies play an important role either as a low-permeability host of the heated fluid or as the heat source for the potential development of an enhanced geothermal system.


Geothermics ◽  
2018 ◽  
Vol 76 ◽  
pp. 15-25 ◽  
Author(s):  
Ji Gao ◽  
Haijiang Zhang ◽  
Senqi Zhang ◽  
Xiaobin Chen ◽  
Zhengpu Cheng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document