The Technology of High-Performance Artificial-Lift Operation of Oil and Gas Wells in the Complicated Conditions of the Arctic Fields (Russian)

2013 ◽  
Author(s):  
A.N. Drozdov ◽  
E.A. Malyavko
Keyword(s):  
High Performance ◽  
Oil And Gas ◽  
The Arctic ◽  
Gas Wells ◽  
Artificial Lift ◽  
Oil And Gas Wells ◽  
Complicated Conditions

The Use of Umbilicals as a New Technology of Artificial-Lift Operation of Oil and Gas Wells without Well Killing when Workover

2012 ◽  
Author(s):  
Alexander Nikolaevich Drozdov ◽  
Evgeny Alexandr Malyavko ◽  
Yaroslav L. Alekseev ◽  
Andrey Viktorovich Robin ◽  
Aleksey Ivanovich Alekseev ◽  
...  
Keyword(s):  
Oil And Gas ◽  
New Technology ◽  
Gas Wells ◽  
Artificial Lift ◽  
Oil And Gas Wells

The Use of Umbilicals as a New Technology of Artificial-Lift Operation of Oil and Gas Wells without Well Killing when Workover (Russian)

2012 ◽  
Author(s):  
Alexander Nikolaevich Drozdov ◽  
Evgeny Alexandr Malyavko ◽  
Yaroslav L. Alekseev ◽  
Andrey Viktorovich Robin ◽  
Aleksey Ivanovich Alekseev ◽  
...  
Keyword(s):  
Oil And Gas ◽  
New Technology ◽  
Gas Wells ◽  
Artificial Lift ◽  
Oil And Gas Wells

scholarly journals Web-Technologies Based Software for Oil and Gas Wells Geosteering

2019 ◽  
Vol 17 (2) ◽  
pp. 5-17
Author(s):  
K. N. Danilovskiy ◽  
A. R. Dudaev ◽  
V. N. Glinskikh ◽  
M. N. Nikitenko ◽  
I. A. Moskaev
Keyword(s):  
High Performance ◽  
Horizontal Well ◽  
Oil And Gas ◽  
Gas Wells ◽  
Well Placement ◽  
Client Server ◽  
Web Technologies ◽  
Oil And Gas Wells ◽  
Oilfield Development ◽  
Server Architecture

Accuracy of the horizontal well placement in the target reservoir becomes essential for efficient oilfield development. Geosteering of a well with a complex trajectory is performed using real-time geophysical data obtained while drilling. The presented work is devoted to the development of a new software for horizontal oil and gas wells geosteering. Algorithms based on logging data correlation and electromagnetic logging data numerical inversion methods are used for well placement. The developed application is based on web-technologies and has a client-server architecture. To optimize the resource-intensive calculations execution time, high-performance cloud computing is used.

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