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DTU Olie og Gas
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?e second
solution
combines so?- ware and hardware improvements. ?e solution requires limited invest- ments in hardware ? for example the installation of new sensors and new pumps, which, together with new so?- ware, will improve the overall perfor- mance of the entire plant. ?is solu- tion will improve productivity more than the first proposal. ?e third solution is more far-reach- ing. ??e ultimate aim of our research is a technological breakthrough where we will use the very latest technologies in the control systems and ceramic mem- brane filtration. by means of advanced modelling and an intelligent control strategy, this solution will ensure a high level of regularity and availability in production
as well as the zero emission of hydrocarbons from the production water
. it calls for development and major investments, but on the other hand it can lead to higher regularity in operations and improved protection of the environment in the oil and gas industry without compromising pro- duction capacity or production costs,? says zhenyu yang. ?e project is being developed in close collaboration with dtu electrical engineering. ?e oil companies have to submit daily reports on the presence of vari- ous substances in the cleaned produc- tion water which is discharged to the sea. at the moment, the requirement is that the water must not contain more than 0.003 per cent (30 ppm) oil residue. ?with the new technology, we can increase production regularity and get down to zero per cent discharges of oil residue,? he says. water management project the project is a collaboration between dhrtc, the department of energy technology, esbjerg under aalborg university, dtu electri- cal engineering, dtu compute, and maersk oil. the project focuses on, among other things, the advanced control and optimization of produced water ? including relevant facilities and processes with the following goals: ? significant increase in production. reduced environmental im- pact: reducing the discharge of hydrocarbons from 30 milligrams per litre of water to zero ? improved productivity: relative to the production volume equiva- lent to from 2 to 10 per cent ? project start: 1 february 2016 ? project end: 31 january 2019 the research group suggests three solution models: software-retrofit solution : this solution is based on the existing production facilities and processes, where you develop and use advanced control and automation software to achieve the above objectives. combined software and hardware-retrofit solution: this solu- tion will seek to achieve the objectives with limited improvements to facilities and processing by means of new hardware combined with new, advanced control and automation software. technological breakthrough solution: with the help of an intelli- gent control strategy and advanced modelling based on multilevel flow modelling based on advanced membrane filtration, this solu- tion will ensure a high level of regularity and availability in produc- tion, as well as zero emissions of hydrocarbons from the produc- tion water. 25 dhrtc 2016 demo model ctr1 big data analyses to increase water injection in order to maintain the significant in- crease in capacity which has been obtained by optimizing the water injection systems(- wi systems) and also the produced water treatment systems (pwt systems) at the oil production plants dan and halfdan, the demo model focuses on developing models that describe the plants. to prepare the models which can help operators optimize plant operations, big data computer meth- ods are used based on data from the past and present. dhrtc?s hypothesis ? it is possible to prevent a reduction in the availability of water injection/ produced water treatment over time by using big data analyses ? reasons for downtime can be identified dhrtc research to achieve the objective of improving wa- ter injection and produced water treatment systems by means of big data, dhrtc is conducting research into, for example: ? the development of specific cause-con- sequence models (mfm) to ensure online causal assessment and decision-making support ? the documentation of validation and verification in connection with aalborg university esbjerg (aau-e) pwt pilot plant ? ?classic? big data exercise for dan?s water injection/pwt packs ? the development of a ?surrogate model? in the mfm method ? the development of relational software between mfm, fmeca, hazop and p&id ?languages?
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