Detecting and mapping mature, medium, and young age date palms in the arid lands of Abu Dhabi, using hierarchical integrated approach (HIA)

Author(s):  
Basam Dahy ◽  
Salem Issa ◽  
Nazmi Saleous
2020 ◽  
Author(s):  
Salah Alqallabi ◽  
Mohammed Abdulla ◽  
Esra Bahussain ◽  
Faisal Al-Jenaibi ◽  
Humberto Parra ◽  
...  

2007 ◽  
Author(s):  
Ahmed El Mahdi ◽  
Mohammed Ramadan Ayoub ◽  
Samy Daif-Allah ◽  
Shahin Negahban ◽  
Jamal Nasir Bahamaish ◽  
...  

2012 ◽  
Author(s):  
Syed M. Tariq ◽  
Saleh A. Samad ◽  
Abdel Hakim Ben Aouda ◽  
Muhammad Afzal ◽  
Mourad Bengherbia ◽  
...  

2015 ◽  
Author(s):  
Stefan Steiner ◽  
Syed Asif Ahsan ◽  
Abdelwahab Noufal ◽  
Bernardo Franco ◽  
Tamer Koksalan ◽  
...  

Author(s):  
Prasoon Raj ◽  
Nemeer Padiyath ◽  
Yacine Addad ◽  
Diana Francis
Keyword(s):  

2021 ◽  
Author(s):  
Francis Eriavbe ◽  
Abdurahiman Vadakkeveetil ◽  
Mohamad Alkhatib ◽  
Iftikhar Khattak ◽  
Raffik Lazar

Abstract Objectives / Scope This paper addresses the field development planning challenges of a green onshore South East Abu Dhabi oil field with limited production data. Tectonic movements have created strike slip faults dissecting the structure and uplifting the main body. Tilting of the flanks has resulted in the accumulation to leak some of its initial hydrocarbon and a rebalancing showing a titled FWL. A novel workflow was used to address the challenging reservoir physics including hydrocarbon below FWL. The paper takes a holistic approach in integrating multiple domains data such as Drilling, Petrophysics, Geology and Reservoir / Production Engineering. Methods, Procedures, Process An integrated approach was adopted to address the complexity and challenges of characterizing and modelling the field with hydrocarbon below FWL. Extensive range of data was collected to contribute to better understanding and evaluation of the field. The producibility of hydrocarbon below FWL have a significant impact on field development planning. The used workflow was specifically suitable to drive subsurface team right reservoir characterization: Improve fluid contacts understanding Explain the log responses The discrepancies between dynamic and static responses De-risk the volumetric uncertainties Results Following an extensive multi-disciplinary technical analysis of all available datasets, the most robust, accurate and reliable reservoir characterization, that can be seamlessly integrated into dynamic reservoir modelling phase. A systematic approach was adopted starting from core measurement and lab visits, drilling data such as mud logs, Petrophysical evaluation of multiple complex physics such as hydrocarbon presence below FWL, micro porous intervals, Micritic minerals and imbibition effect, geological regional understanding of faulted reservoirs, and dynamic data such as formation well tests. The study demonstrated that multi-domain integration played a key role in addressing the complex and challenging reservoir dynamics. Novel / Additive Information Large subsurface uncertainty combined with an extensive domain integration required cutting-edge reservoir de-risking and data gathering to provide the optimal reservoir characterization. These unique workflows can be readily used in similar green fields and will be described in full details in the paper.


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