eprintid: 13596
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/35/96
datestamp: 2023-11-10 03:28:09
lastmod: 2023-11-10 03:28:09
status_changed: 2023-11-10 01:51:33
type: conference_item
metadata_visibility: show
creators_name: Sulaimon, A.A.
creators_name: Umar, A.A.
creators_name: Sulaimon, A.-A.O.
creators_name: Masri, A.N.
creators_name: Bello, K.O.
title: New non-SARA-based correlations for predicting asphaltene deposition
ispublished: pub
keywords: Deposition; Petroleum industry; Refractive index, Asphaltene deposition; Asphaltene stability; Comparative analysis; Correlation coefficient; Instability index; Metastable region; Molecular weight dependent; Standard deviation, Asphaltenes
note: cited By 2; Conference of SPE Nigeria Annual International Conference and Exhibition 2020, NAIC 2020 ; Conference Date: 11 August 2020 Through 13 August 2020; Conference Code:162242
abstract: Asphaltene deposition constitutes a major flow assurance challenge during oil production. Several attempts have been made to predict asphaltene stability using SARA analysis, which is usually expensive and time-consuming. Therefore, we have developed new SARA-independent correlations for the colloidal instability index (CII) and the refractive index (RI) as functions of oil density. The new density-based CII or DBCII is proven to be reliable with an average absolute relative error (AARE) of 0.1428, standard deviation (SD) of 0.1902 and a correlation coefficient R2 of 0.9520. Similarly, density-based RI or DBRI has been validated with an AARE of 0.0037 and SD of 0.0044. Two new deposition envelops have been developed with different criteria. The stable regions are characterized by DBCII lesser than 1.1 and DBRI greater than 1.525 while the unstable zones are defined when DBCII is greater than 1.8 and DBRI lesser than 1.503. The metastable region is identified within the limits of stable and unstable criteria. Comparative analyses have shown that the new correlations are simpler, cheaper and more accurate than the existing SARA-fractions-dependent-RI correlation and molecular-weight-dependent CII correlation. Copyright © 2020 Society of Petroleum Engineers.
date: 2020
publisher: Society of Petroleum Engineers
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108112291&doi=10.2118%2f203652-MS&partnerID=40&md5=31eedc524a530153a3dd0204d5597edf
id_number: 10.2118/203652-MS
full_text_status: none
publication: Society of Petroleum Engineers - SPE Nigeria Annual International Conference and Exhibition 2020, NAIC 2020
refereed: TRUE
isbn: 9781613997857
citation:   Sulaimon, A.A. and Umar, A.A. and Sulaimon, A.-A.O. and Masri, A.N. and Bello, K.O.  (2020) New non-SARA-based correlations for predicting asphaltene deposition.  In: UNSPECIFIED.