TY - JOUR A1 - Neumann, Patrick P. A1 - Werner, Klaus-Dieter A1 - Petrov, Sergej A1 - Bartholmai, Matthias A1 - Lazik, D. ED - Puente León, F. ED - Zagar, B. T1 - Aufbau eines großflächigen Testfeldes für verteilte Bodengassensorik und Untersuchung einer Monitoringmethode basierend auf Tomographie T1 - Setup of a large-scale test field for distributed soil gas sensors and testing of a monitoring method based on tomography N2 - A 400 m² 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 (CO2) 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. N2 - Zur Validierung, Optimierung und praxisnahen Demonstration eines flächendeckenden Monitoringverfahrens für Untergrundgasspeichern wurde ein 400 m² großes Testfeld mit Gasinjektionssystem auf dem BAM Testgelände Technische Sicherheit aufgebaut. Die Methode kombiniert verteilte, linienförmige Gassensorik für die In-situ-Überwachung von Gasen im Boden mit den Mapping-Fähigkeiten der Computertomographie (CT). Auf Basis von orthogonal zueinander ausgerichteten linearen Gassensoren können mit diesem Verfahren so Zeitreihen der Gasverteilung rekonstruiert werden. Experimente mit Kohlendioxid (CO2) zeigen das Potential des Verfahrens zur schnellen Lokalisierung von Leckagen auf. KW - Soil test field KW - Distributed linear sensor KW - Membrane-based gas sensing KW - Subsurface monitoring KW - Gas storage areas KW - Computed tomography PY - 2016 U6 - https://doi.org/10.1515/teme-2016-0015 SN - 2196-7113 SN - 0171-8096 VL - 83 IS - 10 SP - 606 EP - 615 PB - Walter de Gruyter GmbH CY - Berlin, Deutschland AN - OPUS4-37653 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Lazik, D. A1 - Bartholmai, Matthias T1 - Tomographic reconstruction of soil gas distribution from multiple gas sources based on sparse sampling N2 - A monitoring method is introduced that creates twodimensional (2D) maps of the soil gas distribution. The method combines linear gas sensing technology for in-situ monitoring of gases in soil with the mapping capabilities of Computed Tomography (CT) to reconstruct spatial and temporal resolved gas distribution maps. A weighted iterative algebraic reconstruction method based on Maximum Likelihood with Expectation Maximization (MLEM) in combination with a source-by-source reconstruction approach is introduced that works with a sparse setup of orthogonally-aligned linear gas sensors. The reconstruction method successfully reduces artifact production, especially when multiple gas sources are present, allowing the discrimination between true and non-existing so-called ghost source locations. Experimental validation by controlled field experiments indicates the high potential of the proposed method for rapid gas leak localization and quantification with respect to Pipeline or underground gas storage issues. KW - Computed tomography KW - Gas distribution mapping and gas source localization KW - Discrimination of multiple gas sources KW - Distributed linear sensor KW - Membrane-based gas sensing KW - Subsurface monitoring KW - Gas storage areas PY - 2016 U6 - https://doi.org/10.1109/JSEN.2016.2545103 SN - 1530-437X VL - 16 IS - 11 SP - 4501 EP - 4508 PB - IEEE - Inst. Electrical Electronics Engineers Inc CY - Hoes Lane, NJ, USA AN - OPUS4-36228 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. A1 - Lazik, D. A1 - Bartholmai, Matthias ED - Aulova, Alexandra ED - Rogelj Ritonja, A. ED - Emri, I. T1 - Validation of membrane-based linear soil gas sensors – results from repetitive CO2 injection experiments performed in the field N2 - This work presents first results from repetitive CO2 injection experiments performed on a recently built-up 400 m² soil test field with gas injection system. The test field contains 48 membrane-based linear gas sensors that were installed in several depths of the test field. Sensors for measuring meteorological parameters (e.g., wind / rain) and the parameters soil temperature, soil moisture, and groundwater level were installed additionally. T2 - 33rd Danubia- Adria Symposium on Advances in Experimental Mechanics CY - Portorož, Slovenia DA - 20.09.2016 KW - Distributed linear sensor KW - Gas distribution mapping and gas source localization KW - Gas storage areas KW - Membrane-based gas sensing KW - Subsurface monitoring PY - 2016 SN - 978-961-94081-0-0 SP - 174 EP - 175 CY - Ljubljana AN - OPUS4-37644 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Neumann, Patrick P. A1 - Lazik, D. T1 - Validation of membrane-based linear soil gas sensors – results from repetitive CO2 injection experiments performed in the field N2 - This work presents first results from repeti-tive CO2 injection experiments performed on a recently built-up 400 m² soil test field with gas injection system. The test field contains 48 membrane-based linear gas sensors that were installed in several depths of the test field. Sensors for measuring meteorological parameters (e.g., wind / rain) and the parameters soil temperature, soil moisture, and groundwater level were installed additionally. A more de-tailed description of the test field setup can be found in. A short description of the mem-brane-based linear gas sensors’ functional prin-ciple can be found in. T2 - 33rd Danubia- Adria Symposium on Advances in Experimental Mechanics CY - Portorož, Slovenia DA - 20.09.2016 KW - Distributed linear sensor KW - Gas distribution mapping and gas source localization KW - Gas storage areas KW - Membrane-based gas sensing KW - Subsurface monitoring PY - 2016 AN - OPUS4-37643 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -