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 - 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 - CONF A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias A1 - Lazik, D. T1 - Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors N2 - A monitoring method is introduced that creates, in near real-time, two-dimensional (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. A first experimental test indicates the high potential of the proposed method for, e.g., rapid gas leak localization. T2 - IEEE Sensors 2015 CY - Busan, South Korea DA - 01.11.2015 KW - Distributed linear sensor KW - Membrane-based gas sensing KW - Subsurface monitoring KW - Gas storage areas KW - Computed tomography PY - 2015 SN - 978-1-4799-8202-8 SN - 1930-0395 SP - 1550 EP - 1553 PB - IEEE AN - OPUS4-34849 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Lazik, D. A1 - Bartholmai, Matthias ED - Emri, Igor T1 - Validation of membrane-based linear soil gas sensors under field conditions N2 - A 400 m2 soil test field with gas injection system was built up, which enables an experimental validation of linear membrane-based gas sensors – a sensor technology which was developed based on the selective permeation of gases through membranes. Several soil watering and injection experiments with carbon dioxide at different days with varying boundary conditions were performed showing that the sensor behaves mostly insensitive to the environmental conditions investigated, i.e., barometric pressure fluctuations, soil temperature, air temperature and humidity, sun duration, and wind speed. Furthermore, depending on water infiltration, a gas phase displacement could be observed in-situ based on the changed measurement signal. The results of the validation experiments highlight the potential of the method for rapid leak detection and localization qualifying the sensor particularly for safety applications, e.g., in underground gas storage areas. T2 - 33nd Danubia Adria Symposium on Advances in Experimental Mechanics CY - Portorož, Slovenia DA - 20.09.2016 KW - Distributed linear sensor KW - Membrane-based gas sensing KW - Subsurface monitoring KW - Gas storage areas KW - Validation PY - 2017 UR - http://www.sciencedirect.com/science/article/pii/S2214785317308404 U6 - https://doi.org/10.1016/j.matpr.2017.06.065 SN - 2214-7853 VL - 4 IS - 5, Part 1 SP - 5893 EP - 5897 PB - Elsevier Ltd. AN - OPUS4-41584 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -