A Novel Approach for Azimuthal Permeability Estimation : Case Study of Heterogeneous Carbonate Reservoirs Offshore Abu Dhabi

2017 ◽  
Author(s):  
A. K. Anurag ◽  
A. K. Mishra ◽  
E. K. BinAbadat ◽  
K. I. Hosany ◽  
G. Al Hashmi ◽  
...  
Keyword(s):  
Carbonate Reservoirs ◽  
Abu Dhabi ◽  
Permeability Estimation ◽  
Novel Approach

Real-Time Azimuthal Acoustic Data Acquisition Advances and Applications in Carbonate Reservoirs - Offshore Abu-Dhabi - Case Study

2016 ◽  
Author(s):  
Fathy El Wazeer ◽  
Habeeba Al Hosani ◽  
Omar El Farouk ◽  
Hassan Mostafa ◽  
Huda Awad ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Carbonate Reservoirs ◽  
Abu Dhabi ◽  
Acoustic Data

Efficient Pulse Neutron Logging for Uncertain Water Salinity in Carbonate Reservoirs: A Case Study from Offshore Abu Dhabi

2018 ◽  
Author(s):  
Mohamed Mostafa Amer ◽  
Amr Mohamed Serry ◽  
Nusrat Afrin Afzal ◽  
Fatema Al Zaabi ◽  
Salem Al Jaberi ◽  
...  
Keyword(s):  
Pulse Neutron ◽  
Carbonate Reservoirs ◽  
Abu Dhabi ◽  
Water Salinity

A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames: A Case Study in Somalia

2019 ◽  
Author(s):  
Sarchil Qader ◽  
Veronique Lefebvre ◽  
Amy Ninneman ◽  
Kristen Himelein ◽  
Utz Pape ◽  
...  
Keyword(s):  
Population Sampling ◽  
Census Enumeration ◽  
Novel Approach

scholarly journals Electric Vehicle Integration into Road Transportation, Intelligent Transportation, and Electric Power Systems: An Abu Dhabi Case Study

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
Keyword(s):  
Electric Power ◽  
Intelligent Transportation ◽  
Energy System ◽  
Transportation System ◽  
Electric Power System ◽  
Abu Dhabi ◽  
Road Transportation ◽  
Unit Distance ◽  
The Impact

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.

Using hidden Markov models to find discrete targets in continuous sociophonetic data

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Daniel Duncan
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Abstract Representation ◽  
Language Variation And Change ◽  
Novel Approach ◽  
Single Target ◽  
The Individual ◽  
Individual Speaker

Abstract Advances in sociophonetic research resulted in features once sorted into discrete bins now being measured continuously. This has implied a shift in what sociolinguists view as the abstract representation of the sociolinguistic variable. When measured discretely, variation is variation in selection: one variant is selected for production, and factors influencing language variation and change are influencing the frequency at which variants are selected. Measured continuously, variation is variation in execution: speakers have a single target for production, which they approximate with varying success. This paper suggests that both approaches can and should be considered in sociophonetic analysis. To that end, I offer the use of hidden Markov models (HMMs) as a novel approach to find speakers’ multiple targets within continuous data. Using the lot vowel among whites in Greater St. Louis as a case study, I compare 2-state and 1-state HMMs constructed at the individual speaker level. Ten of fifty-two speakers’ production is shown to involve the regular use of distinct fronted and backed variants of the vowel. This finding illustrates HMMs’ capacity to allow us to consider variation as both variant selection and execution, making them a useful tool in the analysis of sociophonetic data.

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