Et profilbilde

Research Fellow
Aojie Hong { "honorific-suffix": "Research Fellow", "fn": "Aojie Hong", "tel": "Telephone: +47 51831638 ", "email": "aojie.hong@uis.no" }

Faculty Faculty of Science and Technology
Department Department of Petroleum Technology
Room KE D-351

Courses taught

Research fields

Selected publications

Research in progress

Work experience

Scientific publications (from Cristin)

  • Hong, Aojie; Bratvold, Reidar Brumer (2017). Value of Information from History Matching—How Much Information is Enough?. In: 19th European Symposium on Improved Oil Recovery/IOR Norway 2017. EAGE - European Association of Geoscientists and Engineers. ISBN 978-94-6282-209-2.
  • Hong, Aojie; Bratvold, Reidar Brumer; Nævdal, Geir (2017). Robust production optimization with capacitance-resistance model as precursor. Computational Geosciences. ISSN 1420-0597. DOI: 10.1007/s10596-017-9666-8.
  • Hong, Aojie; Bratvold, Reidar Brumer; Nævdal, Geir (2016). Robust Production Optimization with Capacitance-Resistance Model as Precursor. In: ECMOR XV - Proceedings of 15th European Conference on the Mathematics of Oil Recovery, Amsterdam, Netherlands, 29 August - 1 September, 2016. European Association of Geoscientists and Engineers. ISBN 978-94-6282-193-4.
  • Hong, Aojie; Bratvold, Reidar Brumer (2017). Value of Information from History Matching—How Much Information is Enough?. EAGE, the National IOR Centre of Norway; 2017-04-24 - 2017-04-27.
  • Hong, Aojie; Bratvold, Reidar Brumer; Nævdal, Geir (2016). Realistic Application of EnKFon Capacitance-Resistance Models. IRIS; 2016-06-20 - 2016-06-22.
  • Hong, Aojie; Bratvold, Reidar Brumer; Nævdal, Geir (2016). Robust Production Optimization with Capacitance-Resistance Model as Proxy. The National IOR Centre; 2016-04-14.
  • Hong, Aojie; Bratvold, Reidar Brumer; Nævdal, Geir (2016). Robust Production Optimization with Capacitance-Resistance Model as Precursor. EAGE; 2016-08-29 - 2016-09-01.
  • Hong, Aojie; Bratvold, Reidar Brumer; Nævdal, Geir (2016). Using a Capacitance-Resistance Model as Proxy for Fast Robust Production Optimization. The National IOR Centre; 2016-04-26 - 2016-04-27.