Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Artur Aslanyan"'
Autor:
Bulat Ganiev, Azat Lutfullin, Andrey Glazkov, Vladimir Kalinnikov, Artur Aslanyan, Alfiya Mustafina, Danila Gulyaev, Rushana Farakhova
Publikováno v:
Day 3 Thu, November 17, 2022.
The purpose of this paper is to share the Tatneft experience in digital training of the corporate petroleum asset field development teams. It was designed as an integrated program of reservoir development to provide practice of employing best practic
Autor:
Artur Aslanyan, Arkadiy Popov, Ivan Zhdanov, Evgeniy Pakhomov, Danila Gulyaev, Rushana Farakhova, Rodion Guss, Mariya Dementeva
Publikováno v:
Day 1 Wed, March 16, 2022.
This paper presents a practical case of Field Development Planning (FDP) process with extensive use of petroleum asset digital twin facilities. The paper explains the process of setting up both the digital twin and the performance metrics which were
Autor:
Gazprom Vniigaz Llc, R.R. Kantyukov, I.Yu. Aslanyan, Artur Aslanyan, Yu.Yu. Petrova, Tgt, Roza Minakhmetova, Miks Llc
Publikováno v:
Occupational Safety in Industry. :56-62
To ensure operational stability of the unified gas supply system depending on the seasonal gas demand fluctuations, the underground gas storage facilities are effectively used. Well integrity diagnostics using the advanced logging techniques facilita
Autor:
L.I. Gainutdinova, Rushaniya Farakhova, M.Yu. Garnyshev, R.V. Guss, Artur Aslanyan, E.S. Pakhomov, Ivan Aleksandrovich Zhdanov, Danila Gulyaev
Publikováno v:
Энергия: экономика, техника, экология. :61-66
Paper presents the results of integrated analysis of historically available data and additional field studies at the brown field. The results of the analysis increase the reliability of the geological and hydrodynamic reservoir model, current recover
Autor:
Bulat Ganiev, Linar Zinurov, Azat Lutfullin, Danila Gulyaev, Anastasiya Nikolaevna Nikonorova, Ildar Z. Farhutdinov, Artur Aslanyan, Rushana Farakhova
Publikováno v:
Day 2 Tue, October 19, 2021.
Brown fields that are currently experiencing production decline can benefit a lot from production enhancement operations based on localization of residual reserves and geology clarification. The set of solutions includes targeted recommendations for
Autor:
Nikolay Petrovich Ibryaev, Marat Yurievich Garnyshev, Artur Aslanyan, Rodion Vladimirovich Guss, Eugeny Sergeevich Pakhomov, Vladimir Krichevsky, Maksim Aleksandrovich Kuznetsov, Ivan Aleksandrovich Zhdanov, Arkadii Yurievich Popov
Publikováno v:
Day 2 Wed, October 13, 2021.
The paper presents the results of a study project of 60+ well block of the large (> 1,000 wells) mature (30 year old) oilfield in Western Siberia with objective to localise and characterize residual recoverable reserves and propose the optimal econom
Autor:
Artur Aslanyan, Azat Lutfullin, Rushana Farakhova, Marat Yurievich Garnyshev, Alfiya Nurimanovna Mustafina, Bulat Ganiev, Ildar Zufarovich Farkhutdinov
Publikováno v:
Day 2 Wed, October 13, 2021.
The paper presents a practical case of production performance analysis at one of the mature waterflood oil fields located at the Volga-Ural oil basin with a large number of wells. It is a big challenge to analyse such a large production history and r
Publikováno v:
Day 3 Thu, October 14, 2021.
Target reservoir and production characterization study was carried out in Pematang Lantih field, Jambi, Indonesia. The Talang Akar Formation has 10 underlying reservoirs from 600 m to 900m TVDSS. This multi-layers sandstone structure is driven by reg
Publikováno v:
Day 2 Wed, December 02, 2020.
The waterflood performance depends on two major components: the sweep efficiency and displacement efficiency. The sweep efficiency depends on proper understanding of the vertical and lateral distribution of reservoir properties. One of the methods to
Autor:
Vladimir Krichevsky, Artur Aslanyan, Rushana Farakhova, Andrey Akimov, Emil Gadelshin, Ilnur Yamalov, Vladimir Ovcharov, Danila Gulyaev
Publikováno v:
Day 4 Thu, November 05, 2020.
The massive industry digitalization creates huge data banks which require dedicated data processing techniques. A good example of such a massive data bank is the long-term pressure records of Permanent Downhole Gauges (PDG) which became very popular