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NSG2023 3rd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM
- Conference date: September 3 - 7, 2023
- Location: Edinburgh, United Kingdom
- Published: 03 September 2023
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Seismic Imaging of a Historic Quay Wall Using a High-Resolution S-wave Reflection Survey
Authors D. Draganov, P. Karamitopoulos and R. GhoseSummaryThe structural health of historic quay walls needs to be evaluated well in light of the new conditions they are subjected to. For that, information about their current subsurface structure and condition of their subsurface constructional elements, but also information about the surrounding subsurface structure is crucial. Such information can be supplied by seismic imaging and characterization. We show preliminary results from a high-resolution S-wave survey we performed at a historic quay wall in Overamstel, the Netherlands. We recorded data along four lines – two parallel and two perpendicular to the quay wall. We used a sledge-hammer and a beam as a source and 10-Hz horizontal-component geophones, both oriented in the crossline direction. We show that applying simple processing along the two parallel lines to obtain stacked sections already allowed extracting useful structural information of the subsurface.
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Imaging and Locating Buried Tunnels Using a High-Resolution S-Wave Seismic Survey: Feasibility Field Test From Netherlands
Authors D. Draganov, R. Ghose, U. Harmankaya, A. Kaslilar, D. Van der Burg and A. SchooldermanSummaryKnowing the location and characteristics of shallow subsurface structures like tunnels, cavities, archeological ruins, etc. is of importance for different disciplines and application. To image and/or characterize such objects of interest, different geophysical methods are used. For imaging of a very shallow network of tunnels, the high-resolution seismic method with active sources provide valuable information. We show the results of analysis of an S-wave profile recorded over a network of very shallow tunnels in the Netherlands. The survey used a high-frequency vibratory S-wave source and horizontal particle-velocity geophones, both oriented in the crossline direction, along three lines. We process the reflection data along one of the lines to obtain a stacked section in depth. We also use a method inspired by seismic interferometry to localize a scatterer along the line. We show that both techniques image well the subsurface structures taking into account the 3D ambiguity of processing 2D data.
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Automated Interpretation of Subsurface Resistivity Models Using Machine Learning
Authors M. Panzner, B. Bloss, C. Boufidis, W. Walk and A.A. PfaffhuberSummaryIn this study we used a towable time-domain tTEM system, to collect high-resolution transient electromagnetic data in the Euregio Meuse-Rhine region of the Netherlands. The data were processed and inverted to create a 3D resistivity model. Using few manual interpretation points as a-priori training data, a specialized artificial neuronal network interpreted the 3D resistivity model to produce a bedrock surface. High resolution geophysical surveys often contain large amounts of data. Manual interpretation of these datasets is often tedious and labour intensive. Using a specialized artificial neural network, trained on a-priori information, we were able to automatically interpret a bedrock surface at every model location in a time efficient manner.
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Mechanical Reconstruction of a Material Heterogeneity Using FWI at Laboratory Scale
Authors Q. Didier, S. Arhab and G. Lefeuve-MesgouezSummaryThe research work developed by the authors deals with building maps of both electromagnetical (conductivity and dielectric permittivity properties) and mechanical (density, compression and shear wave speeds) parameters of heterogeneous media, using signals registered on receivers, in connection with geophysics current tools such as GPR and Seismic radars. One of the major characteristics of such tools lies in the experimental configuration that provides measurements only on the medium surface. The current work proposed here specifically concerns the reconstruction of mechanical properties by full waveform inversion of displacements induced by an excitation. The surface of the medium under study is submitted to a mechanical solicitation which yields an incident wave radiated in the heterogeneous medium. This wave interacts then with the different heterogeneities of the medium and receivers measure the signals obtained on several points located on the medium surface, such as vertical displacements for instance. From these measurements, the aim is to build a spatial map of the mechanical properties of the medium and to locate the relevant contrasts and discontinuities due to heterogeneities.
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3D Models Integrating GPR and Apple LiDAR to Improve Results Visualization in Engineering and Geotechnical Applications
Authors T. Bicudo and I. NakakuraSummaryThis study investigates the integration of Ground Penetrating Radar (GPR) and Apple LiDAR data for generating 3D models to improve results visualization in engineering and geotechnical applications. GPR is a widely used non-destructive method for subsurface imaging in various fields, including Brazil. However, Brazilian engineers often have limited knowledge about its principles of operation due to insufficient coverage in engineering universities. The integration of GPR and LiDAR, a remote sensing technique for creating detailed digital surface models, aims to enhance communication and comprehension between geophysics and engineering teams. Two commercial projects are presented: (1) GPR mapping of a dam affected by visible cracks and soil subsidence, and (2) subsurface mapping for utility detection and localization in a car park. The 3D integrated models demonstrated benefits such as increased efficiency in time consumption, facilitated interpretation of results, and the inclusion of additional information like diameters, depth, and volumes without compromising visualization. The integration of GPR and LiDAR for 3D model generation has proven valuable for shallow subsurface mapping in commercial applications, offering a powerful tool for engineering and geotechnical projects.
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Evaluation of Ground-Penetrating Radar (GPR) Survey for Void Detection
Authors E. Nadasi and N.P. SzabóSummaryA geotechnics related case study is presented in the paper. A 3–4 m depth sinkhole formed in an urban area during the dry summer. Since it occurred in the middle of a frequently used yard, the investigation of the area was crucial in order to maintain the safe usage of the ground. Thus, a detailed ground-penetrating radar (GPR) survey was carried out along a grid network. The aim was to map to map further possible voids in the vicinity of the hole and to investigate the compaction conditions of the subsoil. After measurement planning and data collection, the 2D radargrams were processed using MATGPR software. Based on the processed results, the critical parts of the area were marked out where further hollowing and breakdown are possible. Creating the simplified geophysical model was necessary to be able to handle and solve the geotechnical problem.
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Railway Near-Surface Passive Seismic Using Trains as Sources and Fiber Optic Monitoring
Authors T. Bardainne, L. Vivin and R. TarnusSummaryRail tracks’ deformation or collapse due to sinkhole formation beneath railway structure are natural hazards affecting train traffic regularity, causing extra maintenance costs and leading to crucial safety issues. Various geophysical methods have been used for decades to characterize the shallow near-surface, and more recently, the ability of Rayleigh surface waves to detect cavities has been proven. However, active seismic surveys remain too expensive and dramatically complex in railway environments. Recently, ambient noise and train signals have been used in combination with interferometry technology. Compared to ambient noise, train signals offer a much higher signal-to-noise ratio. Following this idea, we propose an imaging and monitoring system based on the deployment of a dense array along tracks and using trains as seismic sources. Using real case examples, we show that fiber optic with DAS technology can be used to monitor the near surface under railways on a variety of scales. All these studies show that DAS used in railway environment is efficient to image and monitor near-surface at different scale with a sufficient resolution and reliability.
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Validation of the TSP Results with the TBM Parameters in Zagros Long Tunnel
Authors N. Amini, S. Izadian, H. Mohammadigheymasi, A. Abdorazzagh and A. EbrahimiSummaryThe Tunnel Seismic Prediction (TSP) method was used to study geological hazards ahead in Zagros long tunnel. In this study, we present elastic moduli predicted by the TSP method in six consecutive TSP campaigns and validate predictions by measured TBM parameters. According to the results, TSP predicted two fractured zones with low elastic moduli values where TBM parameters including torque and thrust drop and penetration rate rise significantly. The strong correlation between TSP predictions and TBM parameters verifies the reliability of TSP results in this project.
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Detection of Anthropogenic Change in a Lossy Mdeium by Orthogonal Dual Polarization GPR Measurement (40 MHz)
Authors T. Kobayashi, C. Sun and J. ChoiSummaryOrthogonal dual polarization GPR measurement was conducted for a purpose of detecting man-made structure buried in the subsurface. The target was two ∼2 m deep trenches which were made for geological investigation of a fault system 3 months prior to the GPR survey. The electrical conductivity of the subsurface medium was found to be ∼10 mS/m. The GPR survey was conducted at a frequency of 40 MHz. The survey area was defined as large as 9 m by 21 m. In the survey area were defined regular measurement grid points with the grid interval of 50 cm. Obtained data were processed to produce instantaneous power data, and are finally integrated to make 3D grid data set of each polarization measurement. Horizontal slice image of the difference of the two polarization images at a depth of ∼2 m show distinct image of the trench floors as well as the fault, which indicates that the orthogonal dual polarization measurement is effective in detection of man-made structure in a lossy medium.
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Digital Geotechnical Data Management Platform Enabling an Uncertainty Governed Geotechnical Design Process
Authors M. Svensson, J. Siikanen and O. FribergSummaryA digital geotechnical data management platform capable of handling all sorts of subsurface information and available through the whole life cycle of an asset, based on the commonly available Microsoft 365 Teams application has been developed, by implementing the GeoBIM database and concept . The database/platform handle data, geo models and geotechnical structures. It also enables implementation of advanced functions, for example modelling of layer models with accompanying validated uncertainties.
Obvious benefits of a geotechnical data management platform are better planning, decreased risks in field and excavation work, optimization of the geotechnical design process, clarification of communication of data and geo models. In general, a sustainable approach for handling geotechnically related information.
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Integrity and Quality Evaluation of a Reinforced Concrete Diaphragm Wall using Field and Laboratory Tests
More LessSummaryThe evaluation of the integrity and quality of the concrete of diaphragm walls of port quays is a recurring and relevant topic. When high loads are expected, it is common for diaphragm walls to be formed by a succession of T-shaped elements, rather than continuous plain walls. Due to the challenging conditions to which these structures are subjected, there is often damage both to the joints of the elements that perform the wall and to the interior of each element. To study the integrity of the structure, it is common to perform laboratory tests and in-situ seismic methods. The combination and comparison of the laboratory and field tests allow clarifying whether the structures present localized weaknesses in the joints or in a particular element or if, on the contrary, there are generalized anomalies in the whole structure, including some elements and joints. This paper discusses the combined use of field and laboratory tests to study the concrete quality and integrity of a diaphragm wall of a quay. The field methods performed were PS suspension logging and seismic tomography combining surface and borehole tests. In the laboratory, unconfined compression and ultrasonic pulse tests were carried out.
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Resistivity, Seismic and LiDAR Surveys to Characterise Clay Cutting Failures on the UK Rail Network
Authors E. Cox, J. Whiteley, S. Fielder, T. Hunt, S. Holt and D. ButcherSummaryThe Tunbridge Wells to Hastings railway line has a long history of embankment and cutting failures within the Wadhurst Clay formation, which in recent years have been increasing in frequency. Atkins were commissioned to undertake a research study of the failure mechanisms within this formation to prioritise remediation works of at-risk earthworks in the future. To address this issue, a series of resistivity, seismic and drone surveys, were completed at the Bluebell Railway in West Sussex during November and December 2022. The Bluebell Railway was chosen as it was built at a similar time to the Tunbridge Wells to Hastings line and is situated in the same geological formations. By comparing resistivity data collected over failed cuttings to cuttings showing no signs of failure, Atkins were able to identify geophysical conditions that may be indicative of failure. Zones of decreased resistivity are interpreted as areas of increased moisture content, however the seismic surveys showed little variation suggesting no significant strength deviations in the cuttings. Combining this geophysical data with slope angles obtained from the drone survey resulted in the identification of several at-risk zones. These at-risk slopes have been highlighted for intrusive investigation and monitoring.
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Multi-Technique Geophysical Survey along the Proposed Route of the Chesterfield-Staveley Regeneration Route
Authors J. Eason and A. VerweerdSummaryAn abstract describing a geophysical survey undertaken along the Chesterfield-Staveley regeneration route utilising multiple geophysical techniques including GPR, seismics and ERT across a wide range of challenging environments including a former chemical plant, former iron works, farmers fields, and residential areas. The survey maps areas of made ground and the underlying geology and is also able to delineate the high wall of a former quarry.
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A New Online Representation Tool for Collaboration and Dissemination of Combined Surface and Subsurface Activities: Share-Twin
Authors D. Bonté, P. Anquez, J. Champagnol, J. Mengus, J. Schmitz and A. BotellaSummaryThe subsurface can be at once the support for surface infrastructure, the host for buried infrastructures, and a source of resources. The ongoing transition to exploring the subsurface digitally has so far provided focused, specialist tools (BIM, geological models, GIS) that offer advanced possibilities to better understand our environment, both natural and man-made. As we open these tools up to non-specialists, with the aim of breaking down silos between disciplines, integrative tools are emerging. Share-Twin is aimed at easing communication, both between specialists and between specialists and non-specialists. For near-surface needs, which more than other any other area of subsurface study requires the coupling of infrastructure and the subsurface, Share-twin aims at providing an all-in-one representative environment into which multisource information can be imported, for example geological models from geophysical investigation, infrastructure (CAO and BIM), and territorial planning (GIS). The result is an online multi-user interface that makes it possible to build and share a 3D digital twin of the combined natural environment and man-made infrastructure for the purpose of planning and communication. The project we are presenting here examines the online architecture and its potential use for near-surface activities such as geophysical investigations, underground utility networks, and city-surface models.
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GPR as Quality Control for Novel Green Highway Construction in Norwegian Peat
Authors A.K. Lysdahl and D. MikesellSummaryExchanging peat with gravel and rocks during road construction results in large greenhouse gas emissions. Instead of removing the peat, it can be sealed and pre-consolidated by sequentially adding layers of sand. Ground-penetrating radar has been successfully applied to quality control the thickness of deployed sand and thereby avoiding ground failure and peat displacement. The results feature clear sand-peat reflections due to the unnatural high homogeneity of the deployed sand and presence of a dielectric textile. The sand layer and water table can be imaged very exactly and efficiently, both qualitatively on-site and more accurately by velocity analysis and digital semi-automatic interpretation.
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Towards Quantitative, Spatially Resolved Estimates of Dam Seepage by Time-Lapse Electrical Resistivity Imaging (ERI)
Authors D. Danchenko, K. Butler, E. De Gante Carrillo, D. Boulay, T. Yun, K. MacQuarrie, I. Campbell and B. McLeanSummaryThe Mactaquac hydroelectric generating station, located near Fredericton, New Brunswick, Canada has served as a test site for the development of geophysical dam condition monitoring techniques, for close to a decade. Efforts have focused on the region spanning the interface between the clay-till core of the dam and the wall of the adjacent concrete diversion sluice-way. Distributed temperature sensing (DTS) in a borehole drilled into the concrete suggests preferential seepage is present at relatively shallow depth. Since 2019 we have implemented time-lapse electrical resistivity imaging (ERI) – seeking to use seasonal changes in resistivity of the reservoir water as a tracer for imaging regions of preferential seepage through the core. Between April and December 2022, the resistivity of water in the reservoir varied by nearly a factor of four, being most resistive (∼300 Ohm-m) in the spring following snow melt, and most conductive (∼75 Ohm-m) in mid-August due to both elevated temperature and total dissolved solids (TDS). Order-of-magnitude estimates for seepage flux are found from the time lag between resistivity changes measured in the reservoir and correlated changes imaged in the core. Seepage estimates within the upper core are significantly higher than expected, corroborating prior inferences from the DTS system.
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The use of L-band SAR Derived Soil Moisture Data in Protecting Critical Infrastructure
By J. LynchSummaryFrom collapsing dams to failing embankments, disaster can strike when engineers fail to account for the presence of water in soil. ASTERRA addresses this risk by detecting underground soil moisture as deep as 3.0 metres below ground using patented algorithms combined with AI on satellite Synthetic Aperture Radar (SAR) data. From tailings dams to waste mineral tips, road and rail infrastructure, this method can identify damage and locate potential points of failure, allowing preventative maintenance to be directed to where it is needed most, and crucially before the onset of failure can occur.
This proprietary methodology was originally used in the search for water on Mars and has since been adapted to monitor soil moisture around critical infrastructure on Earth from orbit. The process uses data from commercial satellites equipped with L-Band SAR, which can penetrate through clouds, vegetation and soil.
SAR data is analysed using a patented algorithm before delivering hard intelligence to planners, engineers, and policymakers. This allows decision-makers to make data-informed choices about the repair, maintenance, and long-term planning of above and below-ground infrastructure.
This paper highlights the benefits of SAR data as a means of remotely monitoring soil moisture content and thereby safeguarding critical infrastructure.
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GPR Method for Void Detection and Characterization Beneath Factory Concrete Floor: A Commercial Case Study
Authors T. Bicudo and I. NakakuraSummaryThis work presents a commercial case study of utilizing Ground-Penetrating Radar (GPR) to detect and characterize subsurface voids beneath a pharmaceutical supplies factory in São Paulo, Brazil. The study area focuses on a particular factory sector that experienced deformations in the concrete floor and walls, leading to a subsidence of the entire area and a halt in production. The GPR method was applied to the entire affected area and the acquired data were processed using traditional processing tools such as filters and amplitude gains. Realistic numerical modeling was performed to guide the interpretation process and reduce ambiguity, generating synthetic data that provided valuable information on GPR anomalies. Borehole data also provided relevant information. Real GPR profiles were then interpreted, and anomalies of interest were marked for direct investigation. A relatively large void was confirmed and scanned using LiDAR technology, allowing for the integration of a digital model of the void into the site’s 3D plan and the calculation of its volume. The void was remediated by injecting concrete, and the integrity of the concrete filling was verified by a subsequent GPR survey. As a result, the factory sector was cleared for production.
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GPR in a Cloud-Connected Data Ecosystem for Easier Integration into BIM
Authors M. Kaufmann and A. NovoSummaryDigitalization is changing how infrastructure projects are planned and executed. By now, every project is expected to start from a reliable and accurate digital twin of the built reality. This includes the subsurface, with a huge network of buried utilities built over the years and often poorly, if at all, recorded. Getting a digital twin of all buried utilities is not trivial. Besides the magnitude of the challenge, the degree of complexity is high due to the different technologies involved in the process. This includes, among others, non-destructive detection technologies such as GPR, as well as geo-positioning technologies, such as GNSS. Additionally, on top of being geolocated, found evidences need to be correctly categorized to fit into the data model, easily editable for future updates. Developing such a digital representation is slow and fragmented. Software can play a big role in boosting this process and making it scalable. Equipped with powerful field computers, the tasks of detection, mapping and categorizing can be executed in real time and results can be visualized on the same 3D geospatial view. We also describe how the use of Artificial Intelligence can assist in removing uncertainty and providing an intuitive visualization for all involved parties
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