Skip to content
DraconiticResearch
Search Sources API
197,785 studies31 sourcesUpdated 22 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Prediction of asphaltene onset pressure and precipitation amount using tree-based stacking–blending ensemble meta-learners: a flow assurance perspective

Related

  1. Frequency‑dependent microwave absorption of crude oil correlated with FTIR‑derived structural indices and asphaltene fraction
    Dariush Bastami, Abbas Shahrabadi, Hassan Naderi +1
    Scientific ReportsPeer-reviewedCC BYFull textAnalytical chemistryDOAJ
  2. Directional Prediction Errors Reveal Systematic Underprediction of Low-Pressure Carbon Dioxide Adsorption in Compact Metal–Organic Frameworks
    Mohammadsadegh Salimian Rizi, Angelo Di Bella, Shayan Abaei +2
    ChemRxivPreprintCC BYInorganic & organometallic chemistryChemRxiv
  3. Synthesis and characterization of sustainable Zinc Oxide nanoparticles for waxy crude flow assurance application
    Abubakar Aji, Hisham Khaled Ben Mahmud, Abdullah Abduljabbar +4
    PLOS OnePeer-reviewedCC BY 4.0Full textPlant biologyMaterials & polymersPLOS
  4. Drying, ageing and reducibility of Ru catalysts obtained via deposition-precipitation: the hidden role of water
    Paolo Lazzarini, Elena Seminerio, Alberto Ricchebuono +9
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  5. TCA precipitation and ethanol/HCl single-step purification evaluation: One-dimensional gel electrophoresis, bradford assays, spectrofluorometry and Raman spectroscopy data on HSA, Rnase, lysozyme - Mascots and Skyline data
    Balkis Eddhif, Nadia Guignard, Yann Batonneau +4
    Data in BriefPeer-reviewedCC BYFull text10 citedGeneral biochemistrySystems & synthetic biologyHAL
BibTeX
@article{nazeri2026prediction,
  title = {{Prediction of asphaltene onset pressure and precipitation amount using tree-based stacking–blending ensemble meta-learners: a flow assurance perspective}},
  author = {Pezhman Nazeri and Ehsan Khamehchi and Alireza Ebrahimzadeh},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-77062-y},
  url = {https://www.nature.com/articles/s41598-026-77062-y},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Prediction of asphaltene onset pressure and precipitation amount using tree-based stacking–blending ensemble meta-learners: a flow assurance perspective
AU  - Pezhman Nazeri
AU  - Ehsan Khamehchi
AU  - Alireza Ebrahimzadeh
PY  - 2026
DA  - 2026/10/22
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77062-y
UR  - https://www.nature.com/articles/s41598-026-77062-y
SN  - 2045-2322
ER  -