Skip to Main content Skip to Navigation
Journal articles

Streaming potential modeling in fractured rock: insights into the identification of hydraulically-active fractures

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.
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01321314
Contributor : Damien Jougnot <>
Submitted on : Wednesday, May 25, 2016 - 2:02:53 PM
Last modification on : Tuesday, May 14, 2019 - 10:54:25 AM
Document(s) archivé(s) le : Friday, August 26, 2016 - 10:45:14 AM

File

Paper_HAL.pdf
Files produced by the author(s)

Identifiers

Citation

Delphine Roubinet, Niklas Linde, Damien Jougnot, James Irving. Streaming potential modeling in fractured rock: insights into the identification of hydraulically-active fractures. Geophysical Research Letters, American Geophysical Union, 2016, ⟨10.1002/2016GL068669⟩. ⟨hal-01321314⟩

Share

Metrics

Record views

285

Files downloads

308