Equipment for Offshore Oil Well Abandonment Operations (Russian)

2015 ◽  
Author(s):  
F. S. Ismayilov ◽  
G. G. Ibadov
2015 ◽  
Author(s):  
F. S. Ismayilov ◽  
G. G. Ibadov

2019 ◽  
Vol 52 (1) ◽  
pp. 508-513
Author(s):  
Andressa Apio ◽  
Jônathan W.V. Dambros ◽  
Fabio C. Diehl ◽  
Marcelo Farenzena ◽  
Jorge O. Trierweiler

2010 ◽  
Vol 439-440 ◽  
pp. 1624-1627
Author(s):  
Wen Pei Zheng ◽  
Jian Chun Fan ◽  
Lai Bin Zhang ◽  
Dong Wen

Oil well tubing is used in oil extraction in offshore oil well. Under the force of tubular columns, erosion and pressure of drilling fluids, the oil well tubing usually fails in long-term service, which always leads to accidents and stagnation of production. So it’s especially necessary to detect faults in tubing. Intense-magnetic memory testing equipment for reusable offshore oil well tubing is developed for this consideration. The equipment is composed of feeding machines, baiting machines, transport machines and a detection machine. Measurement and control system decides the running sequence logic of these components and obtains fault signals of tubing. The avoidance of transport machines for oil well tubing coupling makes the transport of tubing stable. The synchronization control of transport and detection of tubing decides the accurate location of faults. The automatic switch of both detection units and measurement of fault signals makes it convenient to detect oil well tubing of multiple sizes.


2013 ◽  
Vol 416-417 ◽  
pp. 971-974
Author(s):  
Shi Sheng Guo ◽  
Ying Ying Wang ◽  
Chang Wang ◽  
Xiao Hui Liu

Optical fiber sensors have been used widely in offshore oilfield. An optical fiber sensor system including an optical fiber sensor testing temperature and pressure under well, a connector connecting the optical fiber sensor with the optical cable, two connectors connecting cables, 3600 meters armoured optical cable and an interrogator was applied in an offshore oil well on Zhoushan island. The temperature and pressure under well have been measured for about two month and the testing results are presented in this paper.


2009 ◽  
Author(s):  
I . Putu Eka Parta Winata Sari ◽  
Arthur Pinio Parapat ◽  
Rex Burgos ◽  
Jonathan Michael Christian ◽  
Abul K.M. Jamaluddin ◽  
...  

2022 ◽  
Vol 15 (4) ◽  
pp. 095-113
Author(s):  
M. L. F. Nascimento

In the Brazilian popular imagination, the discovery of oil was announced on August 9, 1938, by the Viscount of Corncob. The Donabentense Oil Company drilled Caraminguá’s first well, near the creek that passed through the Yellow Woodpecker Ranch (“Sítio do Picapau Amarelo,” in colloquial Portuguese). The latter was the name of a famous Brazilian children’s book. In fact, the first oil well flowed in Salvador, Bahia, on January 21, 1939, discovered by Manoel Ignácio Bastos (1891 - 1940), a Brazilian geographer engineer, whose business partner, Oscar Salvador Cordeiro (1890 - 1970), was the president of the Bahia Commodities Exchange. A brief analysis of documents, such as reports, Brazilian decrees and executive orders, as well as newspapers, detail the actions of these Brazilian oil pioneers. Statistical data analysis was also performed about onshore and offshore oil production between 1941 and 2019, as a part of Bastos and Cordeiros’ heritage.


Author(s):  
Zonghan Bai ◽  
Qi Kang ◽  
Haihao Wu ◽  
Jing Gong ◽  
Haiyuan Yao

Abstract In the production management of offshore oil field, the production of single well is very important for reservoir understanding and production allocation. Because of the high cost and short life of the conventional underwater flowmeter, the virtual metering technology has gradually become a trend. ESP (electric submersible pump) is a kind of mechanical equipment commonly used in artificial lift oil recovery method, and used in offshore oil field development and production. Based on the characteristics of ESP and real-time production data, this paper establishes the oil well flow inversion model and proposes a fast calculation method to meet the application requirements, which provides a new method for the acquisition of production information of offshore oil fields.


2010 ◽  
Author(s):  
Shawn Patrick O'Brien ◽  
Eric Kiihne ◽  
Jose M. Macias ◽  
Eric William Vita ◽  
Joel A. Gonzalez

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