Single well chemical tracer tests (SWCTTs) are the first measure of potential enhanced oil recovery (EOR) response in a reservoir. This paper presents a workflow of integrating classical tracer analysis techniques with reservoir simulation modelling for understanding of the impact of pertinent non-ideal physical effects on the estimated incremental oil saturation. In particular, we introduce an extension of the direct shift method to quantitatively estimate co-injected product alcohol and the extent of gas stripping of the ester and a new type curve method for matching raw tracer data. As the reservoir simulation model of the SWCTT is under-constrained, a Monte Carlo iterator is employed to determine the distribution of oil saturation values that adequately describe the observed tracer data with unbiased sampling of the variable space. It is observed that the distribution of oil saturations derived from simulation models is not necessarily Gaussian. We show an example of a pair of SWCTTs performed in an onshore US field to determine the response of the field to a low salinity water treatment. The observed P50 estimate of incremental oil saturation is 5 saturation units, with a positively-skewed distribution biased towards larger values of incremental oil saturation.


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