Case Studies on 2D- and 3D-Time Reverse Modeling of Low-frequency Microtremors - Application to Reservoir Localization

Author(s):  
B. Steiner ◽  
E. H. Saenger ◽  
S. M. Schmalholz
Keyword(s):  
Author(s):  
Neil Bates ◽  
David Lee ◽  
Clifford Maier

This paper describes case studies involving crack detection in-line inspections and fitness for service assessments that were performed based on the inspection data. The assessments were used to evaluate the immediate integrity of the pipeline based on the reported features and the long-term integrity of the pipeline based on excavation data and probabilistic SCC and fatigue crack growth simulations. Two different case studies are analyzed, which illustrate how the data from an ultrasonic crack tool inspection was used to assess threats such as low frequency electrical resistance weld seam defects and stress corrosion cracking. Specific issues, such as probability of detection/identification and the length/depth accuracy of the tool, were evaluated to determine the suitability of the tool to accurately classify and size different types of defects. The long term assessment is based on the Monte Carlo method [1], where the material properties, pipeline details, crack growth parameters, and feature dimensions are randomly selected from certain specified probability distributions to determine the probability of failure versus time for the pipeline segment. The distributions of unreported crack-related features from the excavation program are used to distribute unreported features along the pipeline. Simulated crack growth by fatigue, SCC, or a combination of the two is performed until failure by either leak or rupture is predicted. The probability of failure calculation is performed through a number of crack growth simulations for each of the reported and unreported features and tallying their respective remaining lives. The results of the probabilistic analysis were used to determine the most effective and economical means of remediation by identifying areas or crack mechanisms that contribute most to the probability of failure.


Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1285 ◽  
Author(s):  
Silvia Liberata Ullo ◽  
Chiara Zarro ◽  
Konrad Wojtowicz ◽  
Giuseppe Meoli ◽  
Mariano Focareta

The aim of this paper is to highlight how the employment of Light Detection and Ranging (LiDAR) technique can enhance greatly the performance and reliability of many monitoring systems applied to the Earth Observation (EO) and Environmental Monitoring. A short presentation of LiDAR systems, underlying their peculiarities, is first given. References to some review papers are highlighted, as they can be regarded as useful guidelines for researchers interested in using LiDARs. Two case studies are then presented and discussed, based on the use of 2D and 3D LiDAR data. Some considerations are done on the performance achieved through the use of LiDAR data combined with data from other sources. The case studies show how the LiDAR-based systems, combined with optical Very High Resolution (VHR) data, succeed in improving the analysis and monitoring of specific areas of interest, specifically how LiDAR data help in exploring external environment and extracting building features from urban areas. Moreover the discussed Case Studies demonstrate that the use of the LiDAR data, even with a low density of points, allows the development of an automatic procedure for accurate building features extraction, through object-oriented classification techniques, therefore by underlying the importance that even simple LiDAR-based systems play in EO and Environmental Monitoring.


2008 ◽  
Author(s):  
Robert M. Habiger ◽  
Erik Saenger and Stefan Schmalholz
Keyword(s):  

Author(s):  
D. Tse ◽  
A. Paladini ◽  
A. Dhanda ◽  
A. Weigert ◽  
M. Reina Ortiz ◽  
...  

<p><strong>Abstract.</strong> The new age of digital technologies has led to a shift in conservation approaches when documenting historic places for posterity. The availability of these new technologies has provided tools for better decision-making with respect to the conservation of fragile built heritage. For sites vulnerable to seismic activity, such as Bagan, frequent catastrophic events have strengthened the need for proper documentation.</p> <p>A multidisciplinary team, comprised of students from Carleton University, students from Mandalay Technological University, and staff from the Department of Archaeology and Library of Bagan, conducted a documentation workshop using digital recording techniques. The team selected four Buddhist temples in the city of Bagan, Myanmar, as case studies for the documentation expedition. The strategy included using active and passive sensing techniques (Figure 1), which were used to assess the character-defining elements associated to the built heritage of the case studies. Furthermore, the strategy involved examining the state of conservation of the built heritage. Following the on-site documentation, the data collected was processed to give 2D and 3D representations of the documented sites. These representations serve as a record for future use in conservation. Additional objectives related to the documentation of the four sites were to understand the obstacles in conserving built heritage with respect to the ancient city of Bagan, to expand the technical knowledge of the local staff and the future professionals, and to examine the values and limitations of the recording techniques employed.</p>


2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Stephan Jürgens ◽  
Carla Fernandes ◽  
Vito Evola

In this paper the authors introduce their infographic approach for the presentation of dance data from two extensive case studies on the creative processes of two very dissimilar contemporary choreographers. This approach has been developed in the framework of the BlackBox - Arts & Cognition Project and was implemented in both 2D and 3D environments, resulting in the creation of four short animated infographic films, a documentary film, and a multiple viewport platform for two 360-degree dance videos. Drawing on selected examples from these film productions, the authors discuss in two distinct case studies, which aspects of contemporary dance and choreographic thinking are computed and visualized in ways that allow to access each choreographer’s unique artistic vision and creative process. Based on this discussion, the authors suggest to consider a broader perspective on what might constitute ‘dance data’, and elaborate on how such data sets can be presented visually employing embodied filmmaking and infographic storytelling techniques.


2019 ◽  
Vol 14 (2) ◽  
pp. 114-120
Author(s):  
Burjupati Nageshwar Rao ◽  
Dillip Kumar Puhan ◽  
Rajath Sharma ◽  
◽  
◽  
...  

2021 ◽  
Vol 9 ◽  
pp. 8-12
Author(s):  
Zhengmao Ye ◽  
Hang Yin ◽  
Yongmao Ye

Complex real world problems are essentially nonlinear. Linear models are relatively simple but inaccurate to describe the nonlinear aspects of dynamic system behaviors. Denoising techniques have been broadly applied to numerous applications in the spatial domain, frequency domain, and time domain. To increase the adaptability of denoising techniques to signal processing of arbitrary nonlinear systems, kernel based nonlinear component analysis is proposed to enhance wavelet denoising. In the multilevel wavelet decomposition, the low frequency approximations and high frequency details are produced at each level. Discrete wavelet transform (DWT) will help to decompose low frequency approximations exclusively at all the succeeding levels, while wavelet packet transform decomposes both approximations and high frequency details at each level. DWT is selected for wavelet denoising in this study, where details at each level and the approximation at specified level are all subject to simplification using nonlinear component analysis. Case studies of typical nonlinear denoising problems in various domains are conducted. The results manifest strong feasibility and adaptability across diverse denoising problems of nonlinear systems.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noha Saleeb

PurposeOne of the misconceptions of teaching and learning for practical-based programmes, such as engineering, sciences, architecture, design and arts, is the necessity to deliver via face-to-face physical modality. This paper refutes this claim by providing case studies of best practices in delivering such courses and their hands-on skillsets using completely online virtual delivery that utilises different formats of 2D and 3D media and tools, supported by evidence of efficiency using learning analytics.Design/methodology/approachThe case studies were designed using pedagogical principles of constructivism and deep learning, conducted within a mixture of 2D and 3D virtual learning environments with flexible interface and tools capabilities. State-of-the-art coding and scripting techniques were also used to automate different student tasks and increase engagement. Regression and descriptive analysis methods were used for Learning Analytics.FindingsLearning analytics of all case studies demonstrated the capability to achieve course/project learning outcomes, with high engagement from students amongst peers and with tutors. Furthermore, the diverse virtual learning tools used, allowed students to display creativity and innovation efficiently analogous to physical learning.Originality/valueThe synthesis of utilised media and tools within this study displays innovation and originality in combining different technology techniques to achieve an effectual learning experience. That would usually necessitate face-to-face, hands-on physical contact to perform practical tasks and receive feedback on them. Furthermore, this paper provides suggestions for future research using more advanced technologies.


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