Processing Ultra–High Density 3D Seismic Surveys: An Abu Dhabi Case Study

2020 ◽  
Author(s):  
Tayammum Alkatheeri ◽  
Guillaume Cambois ◽  
Mohamed Mahgoub ◽  
Glenn Nyein ◽  
Pavel Vasilyev ◽  
...  
2019 ◽  
Author(s):  
Hani Nehaid ◽  
Amine Ourabah ◽  
James Cowell ◽  
Chris Brooks ◽  
Johnathan Stone ◽  
...  

2015 ◽  
Author(s):  
Mohamed Mahgoub ◽  
Youngtak Seo ◽  
Al Dhafra ◽  
Gabriele Busanello ◽  
Carlos Roig ◽  
...  

2021 ◽  
Vol 40 (8) ◽  
pp. 584-589
Author(s):  
Tim Dean ◽  
Margarita Pavlova ◽  
Matthew Grant ◽  
Martin Bayly ◽  
Denis Sweeney ◽  
...  

Within the coal industry, there is a rich history of the use of the surface seismic method, principally for exploration and employing sparse 2D lines for broad resource delineation and structural modeling. However, the acquisition of 3D seismic surveys adjacent to open-cut mines (from which the majority of coal is extracted) for superior resource definition ahead of their expansion has been explored only recently. Although the reflection results are extremely useful and enable the mapping of faults with sub-5 m throws, there is still interest in determining if the seismic data can be used to image both structures and rock properties in the near surface. In addition to mapping near-surface structures that have geotechnical implications, the ability to map the overburden properties (which can be quite heterogeneous) is desired. Before mining activities can take place, the overburden needs to be removed. The cost of the removal method employed is directly affected by the depth of the weathered layer and rock properties. In particular, hardness can vary significantly. In this paper, we demonstrate how high-density seismic data originally acquired for reflection processing can be processed to generate high-resolution velocity (both VS and VP) depth volumes, which enable the successful identification of shallow structures and the creation of highly detailed near-surface rock-property volumes.


First Break ◽  
2014 ◽  
Vol 32 (5) ◽  
Author(s):  
Bo Liang ◽  
Meng Zhang ◽  
Fusen Xiao ◽  
Jinli Yang ◽  
Xue Lei ◽  
...  

2009 ◽  
Author(s):  
Pablo Andres Borghi ◽  
Erick Raciel Alvarez ◽  
Jaume Hernandez ◽  
Rafael Vela ◽  
Marco Antonio Vasquez ◽  
...  

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1039-1057
Author(s):  
Amro M. Farid ◽  
Asha Viswanath ◽  
Reem Al-Junaibi ◽  
Deema Allan ◽  
Thomas J. T. Van der Van der Wardt

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology for the same purpose, this paper presents a “systems-of-systems” case study assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the intelligent transportation system (ITS), the integration of EVs into Abu Dhabi is studied using a multi-domain matrix (MDM) of the Abu Dhabi Department of Transportation ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. The paper concludes with the need for an intelligent transportation-energy system (ITES) which would coordinate traffic and energy management functionality.


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