Creation of the ‘Internet of things’ in crude oil production

UDK: 681.518:622.276
DOI: 10.24887/0028-2448-2017-10-120-124
Key words: internet of things, artificial intelligence, reservoir pressure maintenance system, oil formation, oil reservoir, injected water rate measurement, efficiency of oil field development
Authors: R.S. Khisamov, R.A. Gabdrahmanov, A.P. Bespalov, V.V. Zubarev, V.V. Samoylov, D.U. Svilpov (Tatneft PJSC, RF, Almetyevsk)

This article proposes to consider the experience of Tatneft PJSC in the construction of the “Internet of Things”, using the example of creating an automated remote control and management system (ASDKU), which allowed obtaining an effective tool for monitoring and managing development of an oil field on the basis of the already existing infrastructure for reservoir pressure maintenance (RPM). This toolkit has been implemented on Internet services that interact with the infrastructure for the collection, processing and storage of telemetric data coming from "smart" measuring instruments installed in the technological points of the RPM system. The RPM engineering infrastructure is considered as a technical diagnostic system for the oil reservoir under development. The system operates according to the following algorithm. After a prolonged period of stationary waterflooding, pumping units are stopped and disconnected from the pipeline network connecting the common manifold to the injection wells. Then, the reversible ultrasonic flowmeters help analyzing the directions of fluid flows, assisting in the identification of wells with high and low bottomhole pressures and determination of characteristics for equalizing these pressures. The obtained data of the actual working parameters of the oil reservoir interval under development are compared with the development map parameters, according to which the development plan had been drawn up with regards to the rates of liquid production and water injection. Such verification allows reducing the time for identifying planning errors and prompt adjusting of the development parameters of individual areas of oil fields in the crude oil production process.

‘Smart’ measuring devices, sensors and various communicators, a distributed system for collecting, processing, storing telemetric data in conjunction with Internet-services that allow performing the functions of the artificial intelligence and effectively interacting with consumers of the oilfield information through the Internet environment allowed creating an information environment of the ‘Internet of things’, which exerts a great influence over the quality of the oil production management.

References

1. Khisamov R.S., Gabdullin T.G., Farkhullin R.G., Kontrol' za razrabotkoy neftyanykh i gazoneftyanykh mestorozhdeniy (Control over the development of oil and gas and oil fields), Kazan': Idel-Press Publ., 2009, 406 p.

2. Molokovich Yu.M., Markov A.I., Davletshin A.A., Kushtanova G.G., P'ezometriya okrestnosti skvazhin. Teoreticheskie osnovy (Piezometry of the vicinity of wells. Theoretical basis), Kazan': DAS Publ., 203 p.

This article proposes to consider the experience of Tatneft PJSC in the construction of the “Internet of Things”, using the example of creating an automated remote control and management system (ASDKU), which allowed obtaining an effective tool for monitoring and managing development of an oil field on the basis of the already existing infrastructure for reservoir pressure maintenance (RPM). This toolkit has been implemented on Internet services that interact with the infrastructure for the collection, processing and storage of telemetric data coming from "smart" measuring instruments installed in the technological points of the RPM system. The RPM engineering infrastructure is considered as a technical diagnostic system for the oil reservoir under development. The system operates according to the following algorithm. After a prolonged period of stationary waterflooding, pumping units are stopped and disconnected from the pipeline network connecting the common manifold to the injection wells. Then, the reversible ultrasonic flowmeters help analyzing the directions of fluid flows, assisting in the identification of wells with high and low bottomhole pressures and determination of characteristics for equalizing these pressures. The obtained data of the actual working parameters of the oil reservoir interval under development are compared with the development map parameters, according to which the development plan had been drawn up with regards to the rates of liquid production and water injection. Such verification allows reducing the time for identifying planning errors and prompt adjusting of the development parameters of individual areas of oil fields in the crude oil production process.

‘Smart’ measuring devices, sensors and various communicators, a distributed system for collecting, processing, storing telemetric data in conjunction with Internet-services that allow performing the functions of the artificial intelligence and effectively interacting with consumers of the oilfield information through the Internet environment allowed creating an information environment of the ‘Internet of things’, which exerts a great influence over the quality of the oil production management.

References

1. Khisamov R.S., Gabdullin T.G., Farkhullin R.G., Kontrol' za razrabotkoy neftyanykh i gazoneftyanykh mestorozhdeniy (Control over the development of oil and gas and oil fields), Kazan': Idel-Press Publ., 2009, 406 p.

2. Molokovich Yu.M., Markov A.I., Davletshin A.A., Kushtanova G.G., P'ezometriya okrestnosti skvazhin. Teoreticheskie osnovy (Piezometry of the vicinity of wells. Theoretical basis), Kazan': DAS Publ., 203 p.
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