TY - GEN
T1 - Molecular based assays for the practical correlation and prediction of crude oil and petroleum fraction properties
AU - Chen, Chau Chyun
AU - Dziuk, Stephen
PY - 2013
Y1 - 2013
N2 - 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).
AB - 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).
KW - Crude oil assay
KW - Molecular characterization
KW - Planning and scheduling
KW - Process simulation
UR - http://www.scopus.com/inward/record.url?scp=84883078132&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883078132
SN - 9780816910755
T3 - AIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings
BT - AIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings
T2 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, AIChE 2013
Y2 - 28 April 2013 through 2 May 2013
ER -