Numerical simulation of surface-downhole geoelectrical measurements in order to detect brine plumes

Bongiovanni, M.V.; Grünhut, Vivian; Osella, A.; Tichno, Adrián

doi:10.1016/j.jappgeo.2015.03.013

Cited by 3 publications

(5 citation statements)

References 22 publications

(23 reference statements)

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“…Resistivity model (from data presented in Bongiovanni et al. ). The contamination plume is located in the centre of layer C corresponding to the aquifer.…”

Section: Methodsmentioning

confidence: 99%

“…CO 2 (Schmidt-Hattenberger et al 2011;Bergmann et al 2012). Furthermore, Bongiovanni et al (2015) showed through numerical simulations of the geoelectrical responses that brine saturation in an oil reservoir located at depths of 500-600 m could be detected using this kind of measurements.…”

Section: Introductionmentioning

confidence: 94%

“…The site we modelled is described in Bongiovanni et al (2015). It is an oil reservoir at a depth of around 500 m located in the western part of Argentina.…”

Section: Model Descriptionmentioning

confidence: 99%

“…We decided to use this particular model because of the current interest in this region. In order to build the model we used electrical resistivity data obtained from boreholes during the drilling, as well as porosity values from rocks belonging mainly to the reservoir, together with their geological Bongiovanni et al 2015). The contamination plume is located in the centre of layer C corresponding to the aquifer.…”

Section: Model Descriptionmentioning

confidence: 99%

“…Once the geometry and physical properties of the subsurface were determined, we simulated the geoelectrical response, representing continuous injection of electric current with a pair of electrodes A and B, and the measurement of the potential differences in another pair of electrodes, M and N. In all cases, the potential differences values were above 10 μV which is the lowest limit of detectability (for an explanation of the detectability criterion, see Bongiovanni et al 2015). The electrodes were modelled as a point source.…”

Section: F O R W a R D M O D E L L I N Gmentioning

confidence: 99%

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Using surface‐downhole ERT for detecting contaminants in deep aquifers due to exploitation of oil reservoirs

Grünhut

Bongiovanni

Osella

2018

Near Surface Geophysics

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The exploitation of a hydrocarbon reservoir, whether conventional or unconventional, may cause environmental damages. Even though sink wells used by oil companies are located much deeper than the aquifers, they may eventually contaminate the water with brine leakage, oil spill or other polluting agents, such as chemicals used in hydraulic fracturing. This makes vulnerability studies extremely important. In this work we aim to detect and characterize contamination of an aquifer that lies above an oil reservoir, at approximately 250 m depth, using electric current injected in the ground surface and voltage sensors installed in the well. At that depth, it is not usual to use downhole measurements to monitor the contaminated aquifer. This gave us the motivation to check if it was possible to identify the contamination of a part of the aquifer using surface‐downhole measurements. In order to achieve this we have designed an electrical model of the reservoir including the aquifer with either a conductive or resistive contaminant such as saline brine, oil spill or CO2, and have numerically simulated the forward and inverse geoelectrical responses. Numerical results show that the detection of contamination is possible only with a surface‐downhole configuration. Our results illustrate the advantage of using the electrical resistivity tomography configuration in order to detect and characterize the contaminated deep aquifers.

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“…Resistivity model (from data presented in Bongiovanni et al. ). The contamination plume is located in the centre of layer C corresponding to the aquifer.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

“…The site we modelled is described in Bongiovanni et al (2015). It is an oil reservoir at a depth of around 500 m located in the western part of Argentina.…”

Section: Model Descriptionmentioning

confidence: 99%

Section: Model Descriptionmentioning

confidence: 99%

Section: F O R W a R D M O D E L L I N Gmentioning

confidence: 99%

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