Streaming potential modeling in fractured rock: Insights into the identification of hydraulically active fractures. Issue 10 (23rd May 2016)

• Record Type: Journal Article
• Authors: Roubinet, D.; Linde, N.; Jougnot, D.; Irving, J.
• Is Part Of: Geophysical research letters. Volume 43:Issue 10(2016)
• Page Start: 4937
• Page End: 4944
• Publication Date: 2016-05-23
• Subjects: self‐potential method -- fracture characterization -- numerical modeling -- discrete‐dual‐porosity approach -- fracture‐matrix fluid exchanges -- heterogeneous fractured media; Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1002/2016GL068669
• Languages: English
• ISSNs: 0094-8276

Abstract

Abstract: Numerous field experiments suggest that the self‐potential (SP) geophysical method may allow for the detection of hydraulically active fractures and provide information about fracture properties. However, a lack of suitable numerical tools for modeling streaming potentials in fractured media prevents quantitative interpretation and limits our understanding of how the SP method can be used in this regard. To address this issue, we present a highly efficient two‐dimensional discrete‐dual‐porosity approach for solving the fluid flow and associated self‐potential problems in fractured rock. Our approach is specifically designed for complex fracture networks that cannot be investigated using standard numerical methods. We then simulate SP signals associated with pumping conditions for a number of examples to show that (i) accounting for matrix fluid flow is essential for accurate SP modeling and (ii) the sensitivity of SP to hydraulically active fractures is intimately linked with fracture‐matrix fluid interactions. This implies that fractures associated with strong SP amplitudes are likely to be hydraulically conductive, attracting fluid flow from the surrounding matrix. Key Points: Highly efficient discrete‐dual‐porosity approach for simulating self‐potential (SP) signals in fractured porous media Determinant role of matrix fluid flow in the generation of fractured‐rock SP signals Hydraulically active fractures having significant fracture‐matrix interactions can be identified with the SP method