scholarly journals STATE OF THE ART SURVEY ON USING ROBOTS IN OIL AND GAS INDUSTRY

2020 ◽  
Vol 10 (5) ◽  
pp. 2137-2151 ◽  
Author(s):  
Abo Taleb T. Al-Hameedi ◽  
Husam H. Alkinani ◽  
Hussien W. Albazzaz ◽  
Shari Dunn-Norman ◽  
Mohammed M. Alkhamis

2016 ◽  
Vol 139 (1) ◽  
Author(s):  
J. F. Bautista ◽  
A. Dahi Taleghani

Fluid injection is a common practice in the oil and gas industry found in many applications such as waterflooding and disposal of produced fluids. Maintaining high injection rates is crucial to guarantee the economic success of these projects; however, there are geomechanical risks and difficulties involved in this process that may threat the viability of fluid injection projects. Near wellbore reduction of permeability due to pore plugging, formation failure, out of zone injection, sand production, and local compaction are challenging the effectiveness of the injection process. Due to these complications, modeling and simulation has been used as an effective tool to assess injectors' performance; however, different problems have yet to be addressed. In this paper, we review some of these challenges and the solutions that have been proposed as a primary step to understand mechanisms affecting well performance.


Author(s):  
J. F. Bautista ◽  
A. Dahi Taleghani

Fluid injection is a common practice in the Oil and Gas industry found in many applications such as waterflooding and disposal of produced fluids. Maintaining high injection rates is crucial to guarantee the economic success of these projects; however, there are geomechanical risks and difficulties involved in this process that may threat the viability of fluid injection projects. Near wellbore reduction of permeability due to pore plugging, formation failure, out of zone injection, sand production, and local compaction are challenging the effectiveness of the injection process. Due to these complications, modeling and simulation has been used as an effective tool to assess injectors’ performance, however, different problems have yet be addressed. In this paper, we review some of these challenges and the solutions that have been proposed as a primary step to understand mechanisms affecting well performance.


Author(s):  
Wei Yu ◽  
Oliver Bischoff ◽  
Po Wen Cheng ◽  
Gerrit Wolken-Moehlmann ◽  
Julia Gottschall

This work validates a numerical model of the Fraunhofer IWES LiDAR-Buoy by using open sea measurements. Such floating LiDAR systems (FLS) have been deployed for almost twenty years, aiming at exploring the offshore wind resource with lower cost. However, the uncertainty of wind measurements from a moving LiDAR are not clear, particularly due to the wave- and current-induced motion of the buoy. Therefore a numerical model with state-of-the-art approaches in conventional oil and gas industry was developed to quantify uncertainty and understand the effect of environmental conditions on the buoy. The model was validated against data from a measurement campaign at the offshore research platform FINO 3. The results show the challenges and limitations when transferring the experience from the oil and gas industry directly because of the different geometries and the much smaller buoys used for FLS. It has been found that the position of the LiDAR is dominated by the current, which is however commonly simplified in the state-of-the-art approach; the rotational motions are significantly influenced by the wave and can be reproduced up to a certain limit.


2019 ◽  
Vol 95 ◽  
pp. 78-89 ◽  
Author(s):  
Jan-Georg Wagenfeld ◽  
Khalid Al-Ali ◽  
Saif Almheiri ◽  
Angela F. Slavens ◽  
Nicolas Calvet

Author(s):  
O. Karakoc ◽  
Y. Yegin ◽  
M. Ozdogan ◽  
M. Salman ◽  
N. Nagabandi ◽  
...  

2020 ◽  
Vol 191 ◽  
pp. 107118 ◽  
Author(s):  
Jagar A. Ali ◽  
Abdullah M. Kalhury ◽  
Ayub N. Sabir ◽  
Rawezh N. Ahmed ◽  
Nali H. Ali ◽  
...  

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