Biased samples to study reservoir souring processes: A numerical analysis

Production water samples are commonly used to study reservoir souring process. The aim of this is examine the reliability these by using a state art coupled Thermo-Hydro-bioChemical numerical model. transport and growth five different representative sulfate-reducing strains (SRSs) in model subsurface environment simulated numerically considering various biofilm formation characteristics injection flow rates. After one pore volume (PV) injection, assuming no formation, for three rates corresponding velocities 5.58 × 10?8, 83.7 10?8 167.4 m/s, within partially or completely derived two SRSs that have an optimal temperature 28 39 °C. However, produced taken after PV dominated SRS has 82 For higher velocity 558 without any sample contains same as reservoir. if half biomass participates even high cannot reveal derive Therefore, utilizing may be misleading studies. results presented work suggest more accurate prediction requires characterization major groups sulfate reducing bacteria undisturbed brine, understanding their behavior.