The impact of energy distribution on data quality and cost of 3D seismic survey over Bu Hasa Onshore Field in Abu Dhabi, UAE

2000 ◽  
Author(s):  
Abu Baker Al Jeelani ◽  
Samer Marmash ◽  
Abdulsalam Bin Ishaq ◽  
Ahmad Al‐Shaikh ◽  
Erik Kleiss ◽  
...  
2000 ◽  
Author(s):  
Abu Baker Al Jeelani ◽  
Samer Marmash ◽  
Abdul Salam Bin Ishaq ◽  
Ahmed Al-Shaikh ◽  
Eric Kleiss ◽  
...  

2010 ◽  
Author(s):  
Mohamed A. Mahgoub ◽  
Joe Karwatowski ◽  
Johan Witte ◽  
Thib Hussein ◽  
Andre Leveque

2019 ◽  
Author(s):  
Hani Nehaid ◽  
Amine Ourabah ◽  
James Cowell ◽  
Chris Brooks ◽  
Johnathan Stone ◽  
...  

2017 ◽  
Vol 5 (2) ◽  
pp. SF177-SF188 ◽  
Author(s):  
Wei Wang ◽  
Xiangzeng Wang ◽  
Hongliu Zeng ◽  
Quansheng Liang

In the study area, southeast of Ordos Basin in China, thick lacustrine shale/mudstone strata have been developed in the Triassic Yanchang Formation. Aiming to study these source/reservoir rocks, a 3D full-azimuth, high-density seismic survey was acquired. However, the surface in this region is covered by a thick loess layer, leading to seismic challenges such as complicated interferences and serious absorption of high frequencies. Despite a specially targeted seismic processing workflow, the prestack Kirchhoff time-migrated seismic data were still contaminated by severe noise, hindering seismic inversion and geologic interpretation. By taking account of the particular data quality and noise characteristics, we have developed a cascade workflow including three major methods to condition the poststack 3D seismic data. First, we removed the sticky coherent noise by a local pseudo [Formula: see text]-[Formula: see text]-[Formula: see text] Cadzow filtering. Then, we diminished the random noise by a structure-oriented filtering. Finally, we extended the frequency bandwidth with a spectral-balancing method based on the continuous wavelet transform. The data quality was improved after each of these steps through the proposed workflow. Compared with the original data, the conditioned final data show improved interpretability of the shale targets through geometric attribute analysis and depositional interpretation.


Geophysics ◽  
2007 ◽  
Vol 72 (5) ◽  
pp. A63-A67 ◽  
Author(s):  
Peter A. Crisi ◽  
Shelton E. Hubbell

Two different 3D seismic survey geometries for relatively low-fold exploration objectives are compared. The sparse geometry (S3D) is executed in swaths using a crew with 960 active channels. It is fast and cost effective, and has been used extensively in Saudi Arabia. The low fold conventional geometry (LFC3D) is acquired in blocks using a crew with about 4000 active channels. LFC3D geometries offer better geophysical attributes, with less variability of offsets and azimuths between common midpoints (CMPs), improved statics control, and higher fold with less source effort. LFC3D geometries have greater flexibility for different survey objectives than S3D geometries, and are competitive with S3D geometries in terms of cost, speed, and data quality.


2008 ◽  
Author(s):  
Ghiath Ajlani ◽  
Mohamed Mahgoub ◽  
Andre Leveque ◽  
Ali Haddabi
Keyword(s):  

1997 ◽  
Author(s):  
A.I. van Dierendonck ◽  
D.W. Pronk ◽  
V.C. Ward

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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