Molecular based assays for the practical correlation and prediction of crude oil and petroleum fraction properties

Chau Chyun Chen, Stephen Dziuk

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

Abstract

The determination of crude oil assay is a lengthy, tedious, and costly process. The conventional approach to perform an assay consists of a limited set of measurements on the crude oil and its fractions. Most often, only a few boiling points, densities, and other property measurements are available for selected distilled fractions or the whole crude. Thus, it is necessary for crude oil assay experts to predict or estimate missing properties to meet various business needs, e.g., refinery planning and scheduling and refinery process simulation. Lower order polynomial expressions are used for interpolation and arithmetic probability scale is used for extrapolation of boiling point curves. Statistically derived predictive methods are also extensively used in the industry for the prediction or estimation of crude oil assays. Analytical methods may predict crude oil properties by correlating the data obtained with rapid surrogate measurements (usually spectroscopic) to those of reference crude assays. The key elements of this molecular based assay characterization approach are presented. This is an abstract of a paper presented at the 2013 AIChE Spring Meeting & 9th Global Congress on Process Safety (San Antonio, TX 4/28-5/2/2013).

Original languageEnglish
Title of host publicationAIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings
StatePublished - 2013
Event2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, AIChE 2013 - San Antonio, TX, United States
Duration: Apr 28 2013May 2 2013

Publication series

NameAIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings

Conference

Conference2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, AIChE 2013
CountryUnited States
CitySan Antonio, TX
Period04/28/1305/2/13

Keywords

  • Crude oil assay
  • Molecular characterization
  • Planning and scheduling
  • Process simulation

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  • Cite this

    Chen, C. C., & Dziuk, S. (2013). Molecular based assays for the practical correlation and prediction of crude oil and petroleum fraction properties. In AIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings (AIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings).