Added: Carline Pigott - Date: 24.07.2021 03:37 - Views: 36082 - Clicks: 2940
Understanding fractures and fracture networks is essential for the investigation and use of subsurface reservoirs.
The aim is to predict the fractures and the fracture network when there is no direct access to subsurface images available. This article presents a universal workflow to Discrete destressing w compute a discrete fracture network by combining the 1D scanline survey method, processed with the newly written SkaPy script, together with the multiple point statistic method MPS. This workflow is applied to a potential geothermal site in Mexico called Acoculco.
The intrusion is associated with contact metamorphism and metasomatic phenomena, providing the basis for the mining activities at Las Minas. The obtained using this workflow demonstrate the feasibility of the approach, which presents a solution combining the efficiency of data processing and an interpretation-driven approach to build realistic discrete fracture networks. This workflow can be used in the process of estimating the permeability of a fracture controlled reservoir, with using only scanline surveys data as input.
This is essential in the process of evaluating the feasibility to develop an enhanced geothermal system.
Download PDF Download. Journal of Structural Geology VolumeApril Add to Mendeley Share. Under a Creative Commons. Abstract Understanding fractures and fracture networks is essential for the investigation and use of subsurface reservoirs.
Keywords EGS. Recommended articles Citing articles 0. Published by Elsevier Ltd.Discrete destressing w
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