Hyperight

Inferential Control System in Predicting and Controlling Product Quality in Petrochemical Facilities Using Ensemble Machine Learning – Ali Abusnina, Saudi Aramco

Premium content

Login or register to unlock the content

Session Outline

Controlling product qualities in refineries to accommodate business needs and efficiently meet contractual conditions without giving the refined product away is a challenging task in the petrochemical industry. An AI powered control system is a data-driven approach that can address this challenge. As part of Aramco’s journey in AI adoption, the mentioned approach was successfully implemented with a satisfactory predictive accuracy

Key Takeaways

  • The use of company data
  • The utilization of state-of-the-art open source models
  • The role of inferential control system

Add comment

Highlight option

Turn on the "highlight" option for any widget, to get an alternative styling like this. You can change the colors for highlighted widgets in the theme options. See more examples below.

Instagram

Instagram has returned empty data. Please authorize your Instagram account in the plugin settings .

Ivana Kotorchevikj

Categories count color

Advertisement

Small ads

Flickr

  • Traffic lights
  • WoMo
  • Setra presentation
  • endless
  • stand still screening-smoking girl
  • Maria d'Odessa performs her art of make-up
  • Afro-deko-mono
  • Maria d'Odessa, touching
  • Maria d'Odessa au bâton de rouge-baiser

Social Widget

Collaboratively harness market-driven processes whereas resource-leveling internal or "organic" sources.

ThemeForest