To explain the algorithm for the flow-based fluid characterization method, the example DPF with the ternary fluid system presented previously is used. Table 1 and Table 2 give the simulation conditions and fluid properties used, respectively. The DPF with a throughput ratio of 0.32 is considered, for which Fig. 9 presents the oil recovery prediction. Time 1 is the PVI at the breakthrough, and Time 2 is when the RX-3117 wave reaches the outlet in the flowing fraction.
Fig. 9. C10 recovery predictions for the 1-D DPF and 1-D SPF with a corrected fluid model. Time 1 is the breakthrough time. Time 2 is the PVI when the evaporation wave in the flowing region reaches the outlet. After Time 2, the recovery comes from the bypassed oil. Table 1 and Table 2 present the simulation conditions and fluid properties used, respectively.Figure optionsDownload full-size imageDownload as PowerPoint slide
The first step is to split C10 into Co10 and Ch60. A value of γa is estimated by matching the C10 recovery after Time 2. In pyrimidine example, γa is 0.11. The dimensionless volume-shift parameter for Ch60 is determined to retain the original oil density. The dimensionless volume-shift parameter for the injected gas component C2 can be also adjusted to retain the oil recovery at the breakthrough time (Time 1 in Fig. 9). The last step is to determine γh to match the oil recovery between Time 1 and Time 2. For this selected case, γh is 0.4. Fig. 9 shows that the SPF with the corrected fluid model accurately matches the recovery prediction of the DPF model with a throughput ratio of 0.32.