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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Drilling Engineering & Materials Science
asphaltene Earth & Environmental Sciences
Drilling fluids Engineering & Materials Science
drilling Earth & Environmental Sciences
Oils Chemical Compounds
drilling fluid Earth & Environmental Sciences
Fluids Engineering & Materials Science
Cements Engineering & Materials Science

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Research Output 1993 2019

  • 439 Citations
  • 11 h-Index
  • 58 Conference contribution
  • 24 Article

Rheology of a colloidal suspension of carbon nanotube particles in a water-based drilling fluid

Baby, A., Sadr, R., Yrac, R. & Amani, M., 15 Jan 2019, In : Powder Technology. 342, p. 585-593 9 p.

Research output: Contribution to journalArticle

Carbon Nanotubes
Drilling fluids
Rheology
Carbon nanotubes
Suspensions

Sensitive Spectroscopic Analysis of Biomarkers in Exhaled Breath

Bicer, A., Bounds, J., Zhu, F., Kolomenskii, A. A., Kaya, N., Aluauee, E., Amani, M. & Schuessler, H. A., 1 Jun 2018, In : International Journal of Thermophysics. 39, 6, 69.

Research output: Contribution to journalArticle

biomarkers
spectroscopic analysis
cavities
acetone
methane

Application of NMR technology in the evaluation of properties of petroleum reservoirs

Amani, M., Al-Jubouri, M., Khadr, S. & Sayed, A., 1 Jan 2017, 16th International Conference Geoinformatics - Theoretical and Applied Aspects. European Association of Geoscientists and Engineers, EAGE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Petroleum reservoirs
crude oil
nuclear magnetic resonance
petroleum
Nuclear magnetic resonance

Control of femtosecond filamentation by revivals of nonadiabatic molecular alignment

Kaya, N., Kaya, G., Boran, Y., Kolomenskii, A. A., Amani, M. & Schuessler, H. A., 1 Jan 2017, European Quantum Electronics Conference, EQEC 2017. OSA - The Optical Society, Vol. Part F81-EQEC 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Molecular orientation

Intelligent tool to design drilling, spacer, cement slurry, and fracturing fluids by use of machine-learning algorithms

Shadravan, A., Tarrahi, M. & Amani, M., 1 Jun 2017, In : SPE Drilling and Completion. 32, 2, p. 131-140 10 p.

Research output: Contribution to journalArticle

Fracturing fluids
Learning algorithms
Learning systems
Drilling
Cements