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Fracture Flow Characterization with Low‐Noise Spontaneous Potential Logging
Author(s) -
Kowalski André C.G.,
Mendonça Carlos A.,
Ofterdinger Ulrich S.
Publication year - 2020
Publication title -
groundwater
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 94
eISSN - 1745-6584
pISSN - 0017-467X
DOI - 10.1111/gwat.13009
Subject(s) - borehole , hydraulic conductivity , geology , groundwater , electrokinetic phenomena , hydraulic fracturing , fracture (geology) , flow (mathematics) , groundwater flow , characterization (materials science) , geotechnical engineering , hydraulic head , logging , terrain , soil science , water flow , petroleum engineering , aquifer , materials science , mechanics , soil water , ecology , physics , biology , nanotechnology
Abstract Geophysical well logging has been applied for fracture characterization in crystalline terrains by physical properties measurements and borehole wall imaging. Some of these methods can be applied to monitor pumping tests to identify fractures contributing to groundwater flow and, with this, determine hydraulic conductivity and transmissivity along the well. We present a procedure to identify fractures contributing to groundwater flow using spontaneous potential measurements generated by electrokinetic processes when the borehole water head is lowered and then monitored while recovering. The electrokinetic model for flow through a tabular gap is used to interpret the measured data and determine the water head difference that drives the flow through the fracture. We present preliminary results at a test site in crystalline rocks on the campus of the University of São Paulo.