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Characterization of Wettability From Spontaneous Imbibition Measurements

Authors: S.M. Ma; X. Zhang; N.R. Morrow; X. Zhou;

Characterization of Wettability From Spontaneous Imbibition Measurements

Abstract

Abstract Of the many methods of characterizing wettability of a porous medium, the most commonly used are the Amott test and the USBM test. The Amott test does not discriminate adequately between systems that give high values of wettability index to water and are collectively described as very strongly water-wet. The USBM test does not recognize systems which achieve residual oil saturation by spontaneous imbibition. For such systems, and for any systems which exhibit significant spontaneous imbibition measurements of imbibition rate provide a useful characterization of wettability. Methods of interpreting spontaneous imbibition data are reviewed and a new method of quantifying wettability from rate of imbibition is proposed Capillary pressure is the driving force in spontaneous imbibition. The area under an imbibition curve is closely related to the work of displacement that results from decrease in surface free energy. Imbibition rate data can be compensated for differences in interfacial tension, viscosities, pore structure, and sample size. Wettability, the remaining key factor in etermining the capillary driving force and the related imbibition rate, then largely determines the differences in saturation versus scaled time curves. These curves are used to obtain pseudo imbibition capillary pressure curves; a wettability index based on relative areas under these curves is defined as the relative pseudo work of imbibition. The method is applied for two crude oil/brine/rock systems. Comparison of the method with the Amott wettability index is made for different wettability states given by differences in aging of cores with crude oil. Correlations of wettability indices with waterflood recoveries are presented. Introduction Reservoir wettability is recognized to be a critical issue in many types of oil recovery processes. Recovery of oil by spontaneous imbibition of water into the matrix blocks of fractured reservoirs is a frequently cited example. Many methods of characterizing wettability have been proposed. The Amott test 1 and USBM test 2 are the most commonly used methods of characterizing wettability of oil/brine/rock systems. Both depend on capillary pressure andmicroscopic displacement efficiency. In application of either test, it is common to first displace water by oil toreach an initial water saturation, S wi. This step in the test is important because the wettability index, in addition to core treatment such as aging time and temperature, is strongly dependent on the value of the initial water saturation.3 The next step is to immerse the sample in water and measure the oil recovered by spontaneous imbibition. The corresponding increase in water saturation is ΔSWS. In the Amott test, the sample is then subjected to what is known as forced displacement either by centrifuging, as originally proposed by Amott, 1 or by waterflooding. 4 If the increase in water saturation by forced displacement is ΔSW0 the Amott wettability index to water, IW, is then defined as Equation (1) Available In Full Paper If nearly all of the oil recovery occurs by spontaneous imbibition, IW is close to 1.0 and the system is described as very strongly water-wet. Systems are increasingly less water-wet as W approaches O. Similarly, an Amott oil wettability index, I0 can be defined by measuring spontaneous imbibition of oil, followed by forced displacement of water by oil.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
131
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Top 1%
Top 10%
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