First field test of linear gas sensor net for planar detection of CO2 leakages in the unsaturated zone

Lazik, Detlef; Ebert, Sebastian

doi:10.1016/j.ijggc.2013.04.014

Cited by 13 publications

(13 citation statements)

References 31 publications

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“…Within these linearity ranges, such a membrane-based sensor can be calibrated by a gas-specific linear characteristic. To that end, the responses

a_{1}^{I}

have to be compared with reference gases of known composition [27,28,31,32]. …”

Section: Resultsmentioning

confidence: 99%

“…For instance, we report an experimentally determined value of about 21% vol s/mbar for CO 2 measurement with a tubular PDMS membrane of 10 m length, an inner radius of 0.7 mm and an outer radius of 1.8 mm [31]. In contrast, for a 40 m-long PDMS membrane with an inner radius 2 mm and outer radius of 3.5 mm, we determined a slope of about 190% vol s/mbar for the same range of 0–5% vol CO 2 that was added to air [32]. …”

Section: Resultsmentioning

confidence: 99%

“…To optimize the construction of such a combined line-sensor, these two reference tubes can be substituted by a single reference tube, which will be studied in further investigations. Finally, the selective tubes and such a common reference tube can be integrated, e.g., in a suitable meshwork for mechanical protection and better handling as shown in [30,32]. …”

Section: Discussionmentioning

confidence: 99%

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Approach for Self-Calibrating CO2 Measurements with Linear Membrane-Based Gas Sensors

Lazik

Sood

2016

Sensors

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Linear membrane-based gas sensors that can be advantageously applied for the measurement of a single gas component in large heterogeneous systems, e.g., for representative determination of CO2 in the subsurface, can be designed depending on the properties of the observation object. A resulting disadvantage is that the permeation-based sensor response depends on operating conditions, the individual site-adapted sensor geometry, the membrane material, and the target gas component. Therefore, calibration is needed, especially of the slope, which could change over several orders of magnitude. A calibration-free approach based on an internal gas standard is developed to overcome the multi-criterial slope dependency. This results in a normalization of sensor response and enables the sensor to assess the significance of measurement. The approach was proofed on the example of CO2 analysis in dry air with tubular PDMS membranes for various CO2 concentrations of an internal standard. Negligible temperature dependency was found within an 18 K range. The transformation behavior of the measurement signal and the influence of concentration variations of the internal standard on the measurement signal were shown. Offsets that were adjusted based on the stated theory for the given measurement conditions and material data from the literature were in agreement with the experimentally determined offsets. A measurement comparison with an NDIR reference sensor shows an unexpectedly low bias (<1%) of the non-calibrated sensor response, and comparable statistical uncertainty.

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“…Within these linearity ranges, such a membrane-based sensor can be calibrated by a gas-specific linear characteristic. To that end, the responses

a_{1}^{I}

have to be compared with reference gases of known composition [27,28,31,32]. …”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Approach for Self-Calibrating CO2 Measurements with Linear Membrane-Based Gas Sensors

Lazik

Sood

2016

Sensors

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“…The speed of gas dispersion in soil depends on the soil structure, texture, and locally varying water saturation and insofar will cause a non-isotropic, heterogeneous gas distribution. Additionally, CO 2 has a higher density than air, i.e., a considerable quantity of the injected CO 2 is assumed to spread downwards [14]. Figure 3 shows the gas distribution of the trial performed on 2015-05-27 approximately 2.50 h and 9.5 h after CO 2 injection reconstructed by using the proposed weighted Maximum-Likelihood ExpectationMaximization (wMLEM) reconstruction algorithm presented in Section 5.…”

Section: Resultsmentioning

confidence: 99%

“…The presented gas sensing technology was introduced in [16] and was first demonstrated in the field in [14]. The gas sensor allows the phase-independent measurement of different gases in fluids using the same measuring method, i.e., the sensors works in the vadose zone, in the zone of saturation, as well as within groundwater [20].…”

Section: Linear Sensor For Areal Subsurface Gas Monitoringmentioning

confidence: 99%

Setup of a large-scale test field for distributed soil gas sensors and testing of a monitoring method based on tomography

Neumann

Werner

Petrov

et al. 2016

Tm - Technisches Messen

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Abstract:A 400 m 2 soil test field with gas injection system was built up for the purpose of large-scale validation, optimization, and characterization of a novel comprehensive monitoring method for underground gas storage areas. The method combines gas sensing technology with linear form factor for in-situ monitoring of gases in soil with the mapping capabilities of Computed Tomography (CT) to reconstruct time-series of gas distribution maps based on samples of orthogonally-aligned linear gas sensors. Several injection experiments with carbon dioxide (CO 2 ) at different days with varying boundary conditions indicates the potential of the method for, e.g., rapid leakage detection with respect to Carbon Capture and Storage (CCS) issues.

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Carbon Dioxide in General

Möller

Decker

Zösel

et al. 2019

Carbon Dioxide Sensing

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First field test of linear gas sensor net for planar detection of CO2 leakages in the unsaturated zone

Cited by 13 publications

References 31 publications

Approach for Self-Calibrating CO2 Measurements with Linear Membrane-Based Gas Sensors

Approach for Self-Calibrating CO2 Measurements with Linear Membrane-Based Gas Sensors

Setup of a large-scale test field for distributed soil gas sensors and testing of a monitoring method based on tomography

Carbon Dioxide in General

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