Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Pejman Shoeibi Omrani"'
Autor:
Katrin Kieling, Simona Regenspurg, Laurent André, Chris Boeije, Deirdre Clark, Mustafa M. Demir, Florian Eichinger, Pilar Junier, Andrew D. Kilpatrick, Károly Kovács, Justine Mouchot, Pejman Shoeibi Omrani, Anne Pluymakers, Alberto Sanchez Miravalles, Ásgerður K. Sigurðardóttir, Sissel O. Viig, Laura Wasch, REFLECT team
Publikováno v:
European Geologist, Vol 54, Pp 76-84 (2022)
The efficiency and feasibility of geothermal utilisation depends strongly on the characteristics and behaviour of the fluids that transfer heat between the geosphere and the engineered components of a power plant. Chemical and physical processes such
Externí odkaz:
https://doaj.org/article/ba17002714ee451aa6660ce04d6d42d1
Publikováno v:
Day 2 Tue, October 04, 2022.
Predicting the degradation of the Electrical Submersible Pumps (ESP) performance well in advance to avoid its failure is a rewarding yet challenging task. The complex interdependencies with well-reservoir properties and between machine components inf
Publikováno v:
Day 2 Tue, October 04, 2022.
Production optimization of oil, gas and geothermal wells suffering from unstable multiphase flow phenomena such as slugging is a challenging task due to their complexity and unpredictable dynamics. In this work, reinforcement learning which is a nove
Publikováno v:
Day 3 Thu, September 23, 2021.
In gas wells, decreased/unstable production can occur due to difficult-to-predict dynamic effects resulted from late-life phenomena, such as liquid loading and flooding. To minimize the negative impact of these effects, maximize production and extend
Autor:
Carlos Mata, Luigi Saputelli, Yara Alatrach, Mohammad Hamdan, Ram Narayanan, Pejman Shoeibi Omrani
Publikováno v:
Day 3 Wed, November 11, 2020.
In this paper, a new approach was identified and tested to detect abnormal events in producing wells when a labeled dataset is unavailable or the number of instances are below 10% and are insufficient for conventional modelling methods. Autoencoders
Autor:
Ruud van der Linden, Harmen Slot, Erik Hornstra, Benoit Dechelette, Jonah Poort, Pejman Shoeibi Omrani, Ryvo Octaviano
Publikováno v:
Day 3 Wed, November 11, 2020.
Due to natural depletion many mature fields are currently suffering from productivity issues due to halite precipitation in the North Sea. Main actions to prevent or solve this type of scaling issues include increasing flowing pressures (topside chok
Autor:
Gerlof Visser, Adrian Luciano Vecchia, Mathijs Janzen, Pejman Shoeibi Omrani, Jimmy Koenes, Jonah Poort
Publikováno v:
Day 1 Mon, November 09, 2020.
Detection of production and well events is crucial for planning of production and operational strategies. Event detection is especially challenging in mature fields in which various off-normal events might occur simultaneously. Manual detection of th
Publikováno v:
Abu Dhabi International Petroleum Exhibition and Conference 2018, ADIPEC 2018, 12-15 November 2018
In this study we have investigated a fully data-driven approach (artificial neural networks) for real-time back-allocation and virtual flow metering in oil and gas production wells. The main goal of this study is to develop computationally efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9a03699548a3f9066513b0dca20036
http://resolver.tudelft.nl/uuid:cc59317e-7294-405c-92ef-9ec132c30ac6
http://resolver.tudelft.nl/uuid:cc59317e-7294-405c-92ef-9ec132c30ac6
Publikováno v:
International Journal of Greenhouse Gas Control, 21, 11-22
International Journal of Greenhouse Gas Control, 21, 11-22. ELSEVIER SCI LTD
International Journal of Greenhouse Gas Control, 21, 11-22. ELSEVIER SCI LTD
In this study, a long-term (up to 1000 years) geochemical modelling of subsurface CO2 storage was carried out on sandstone reservoirs of depleted gas fields in northeast Netherlands. It was found that mineral dissolution/precipitation has only a mino
Autor:
Pejman Shoeibi Omrani, A. Twerda
Publikováno v:
Day 4 Wed, December 09, 2015.
Currently, decisions involving a huge amount of money and resources are based on the outcome of simulations. Consequently, an increase in the computational resources has attracted engineers and scientists to increase the complexity of the mathematica