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Biased samples tostudy reservoirsouring processes: Anumerical analysis Moein Jahanbani VesharehHamidreza M. Nick2021 год

Biased samples to study reservoir souring processes: A numerical analysis
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Аннотация: Production water samples are commonly used to study reservoir souring process. The aim of this study is to examine the reliability of these samples by using a state of the art coupled Thermo-Hydro-bioChemical numerical model. The transport and growth of five different representative sulfate-reducing strains (SRSs) in a model subsurface environment are simulated numerically by considering various biofilm formation characteristics and injection flow rates. After one pore volume (PV) injection, and assuming no biofilm formation, for three injection flow rates corresponding to pore velocities of 5.58 × 10−8, 83.7 × 10−8 and 167.4 × 10−8 m/s, souring within the reservoir is partially or completely derived by two SRSs that have an optimal growth temperature of 28 and 39 °C. However, the produced water taken after one PV is dominated by a SRS that has an optimal temperature of 82 °C. For a higher pore velocity of 558 × 10−8 m/s, without considering any biofilm formation, produced water sample contains the same SRSs as the reservoir. However, if half of the produced biomass by various SRSs participates in biofilm formation, even for the high pore velocity of 558 × 10−8 m/s, the produced water sample cannot reveal the SRSs that derive souring in the reservoir. Therefore, utilizing produced water samples may be misleading in reservoir souring studies. The results presented in this work suggest that more accurate prediction of reservoir souring requires characterization of the major groups of sulfate reducing bacteria in the injection water and undisturbed formation brine, and understanding their biofilm formation behavior.
Год издания: 2021
Авторы: Moein Jahanbani Veshareh, Hamidreza M. Nick
Издательство: Elsevier BV
Источник: Journal of Cleaner Production
Ключевые слова: Hydraulic Fracturing and Reservoir Analysis, Drilling and Well Engineering, Groundwater flow and contamination studies
Другие ссылки: Journal of Cleaner Production (HTML)
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (PDF)
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (HTML)
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (HTML)