Paradigm Shift from Seismic Array to S4 in Acquisition and Processing; Case Study of Onshore 3D Seismic, Abu Dhabi, UAE

Author(s):  
Mohamed Mahgoub ◽  
Youngtak Seo ◽  
Al Dhafra ◽  
Gabriele Busanello ◽  
Carlos Roig ◽  
...  
2020 ◽  
Author(s):  
Tayammum Alkatheeri ◽  
Guillaume Cambois ◽  
Mohamed Mahgoub ◽  
Glenn Nyein ◽  
Pavel Vasilyev ◽  
...  

2017 ◽  
Author(s):  
M. Oke ◽  
K. Shin ◽  
F. Rosli ◽  
M. Buzdar ◽  
V. B. Dantla ◽  
...  

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.


2021 ◽  
Vol 40 (3) ◽  
pp. 186-192
Author(s):  
Thomas Krayenbuehl ◽  
Nadeem Balushi ◽  
Stephane Gesbert

The principles and benefits of seismic sequence stratigraphy have withstood the test of time, but the application of seismic sequence stratigraphy is still carried out mostly manually. Several tool kits have been developed to semiautomatically extract dense stacks of horizons from seismic data, but they stop short of exploiting the full potential of seismo-stratigraphic models. We introduce novel geometric seismic attributes that associate relative geologic age models with seismic geomorphological models. We propose that a relative sea level curve can be derived from the models. The approach is demonstrated on a case study from the Lower Cretaceous Kahmah Group in the northwestern part of Oman where it helps in sweet-spotting and derisking elusive stratigraphic traps.


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