Interpretation: SEG 4 (2):SF81-SF92 (2016)

Characterizing heavy oil viscosity by nuclear magnetic resonance relaxation time measurements is much more challenging than characterizing light oil viscosities. Crude oils contain a wide range of hydrocarbons, resulting in broad [Formula: see text] and [Formula: see text] distributions that vary with the oil composition. Most often, a single geometric mean value [Formula: see text] or [Formula: see text] is correlated with the crude oil viscosity, which cannot accurately account for the inherent complexity of the oil constituent information. Furthermore, as the viscosity increases, some of the protons in the oil relax too quickly to be observable by logging or laboratory NMR instruments. This results in deficiencies of relaxation time and signal amplitude that give rise to apparent [Formula: see text] and [Formula: see text] distributions and apparent hydrogen index. Using [Formula: see text] and [Formula: see text] distributions in NMR viscosity models could produce erroneous heavy oil viscosity estimations. Several attempts have been made to overcome these challenges by taking into account [Formula: see text] at a fixed interecho time, or a TE-dependent [Formula: see text]. We have developed a new radial-basis-function-based heavy oil viscosity model using the entire [Formula: see text] distribution, rather than [Formula: see text], with an option of including the NMR-derived [Formula: see text]. Because both of these quantities are TE dependent, it is desirable to include multiple TE data to develop the model. In addition, the principal component analysis method was applied to extract major variations of features embedded in the [Formula: see text] distributions, while discarding distribution features that are derived from random noise. The coefficients of the RBFs were derived using laboratory NMR [Formula: see text] measurements at ambient and elevated temperatures between 23.5°C and 39.5°C and corresponding viscosity measurements on 50 oil samples. These oil samples were collected from different parts of a shallow viscous oil reservoir in Kuwait. It was observed that the use of this newly developed RBF method showed significant improvement in terms of the reliability of the viscosity prediction compared to some recently published heavy oil viscosity correlations.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1190/int-2015-0121.1
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 56,060
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

Add more citations

Similar books and articles

Nuclear Magnetic Resonance in Β Brass.G. W. West - 1960 - Philosophical Magazine 5 (57):899-907.
Nuclear Magnetic Resonance in Intermetallic Compounds.G. W. West - 1964 - Philosophical Magazine 9 (102):979-991.
Nuclear Magnetic Resonance in Silver-Cadmium.L. E. Drain - 1959 - Philosophical Magazine 4 (40):484-501.
Pulsed Nuclear Magnetic Resonance in Metal Single Crystals.K. TtTsec - 1968 - In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif.. pp. 462.
Nuclear Magnetic Resonance in Impure Indium Antimonide.M. H. Cohen - 1958 - Philosophical Magazine 3 (30):564-566.


Added to PP index

Total views
24 ( #430,325 of 2,403,718 )

Recent downloads (6 months)
1 ( #550,229 of 2,403,718 )

How can I increase my downloads?


My notes