New non-SARA-based correlations for predicting asphaltene deposition

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 colloid...

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Main Authors: Sulaimon, A.A., Umar, A.A., Sulaimon, A.-A.O., Masri, A.N., Bello, K.O.
Format: Conference or Workshop Item
Published: Society of Petroleum Engineers 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108112291&doi=10.2118%2f203652-MS&partnerID=40&md5=31eedc524a530153a3dd0204d5597edf
http://eprints.utp.edu.my/29697/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.296972022-03-25T02:36:14Z New non-SARA-based correlations for predicting asphaltene deposition Sulaimon, A.A. Umar, A.A. Sulaimon, A.-A.O. Masri, A.N. Bello, K.O. 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. Society of Petroleum Engineers 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108112291&doi=10.2118%2f203652-MS&partnerID=40&md5=31eedc524a530153a3dd0204d5597edf 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. http://eprints.utp.edu.my/29697/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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.
format Conference or Workshop Item
author Sulaimon, A.A.
Umar, A.A.
Sulaimon, A.-A.O.
Masri, A.N.
Bello, K.O.
spellingShingle Sulaimon, A.A.
Umar, A.A.
Sulaimon, A.-A.O.
Masri, A.N.
Bello, K.O.
New non-SARA-based correlations for predicting asphaltene deposition
author_facet Sulaimon, A.A.
Umar, A.A.
Sulaimon, A.-A.O.
Masri, A.N.
Bello, K.O.
author_sort Sulaimon, A.A.
title New non-SARA-based correlations for predicting asphaltene deposition
title_short New non-SARA-based correlations for predicting asphaltene deposition
title_full New non-SARA-based correlations for predicting asphaltene deposition
title_fullStr New non-SARA-based correlations for predicting asphaltene deposition
title_full_unstemmed New non-SARA-based correlations for predicting asphaltene deposition
title_sort new non-sara-based correlations for predicting asphaltene deposition
publisher Society of Petroleum Engineers
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108112291&doi=10.2118%2f203652-MS&partnerID=40&md5=31eedc524a530153a3dd0204d5597edf
http://eprints.utp.edu.my/29697/
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