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Mechanistic Modelling of H2S SouringTreatments by Application of Nitrate or Nitrite

机译:应用硝酸盐或亚硝酸盐硫化氢硫化处理的机械模型

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The activity of sulfate-reducing bacteria (SRB)in oil fieldbrines causes numerous problems associated with reservoirsouring. Biological solutions based on stimulating nitrate-reducing bacteria provide novel, inexpensive, andenvironmentally friendly alternatives to the use of biocides andcorrosion inhibitors. Experiments have been designed tounderstand and optimize mechanisms associated with thisnovel treatment and provide a sound technical basis for theapplication of this technology. Here, appropriate microbial growth and metaboliteproduction kinetic models are employed in the STARS reservoirmodel to simulate laboratory continuous up-flow packed-bedbioreactor tests. Observed compositional changes along thelength of the bioreactor are matched for various injectedtreatment scenarios. Sensitivity to factors affecting growth andproduction rates are examined. A stratified, dipping reservoir model with propertiestypical of North Sea conditions is then investigated as a fieldprototype. The complications introduced by multiphase floweffects and sweep to the basic process are indicated, andsensitivities to the amount of biodegradable carbon, assumedmicrobe growth/decay levels, and fractions of sessile/liquid-phase bacteria on process evolution are illustrated. Thesimulations provide a dramatic demonstration of how this novel H2S souring treatment can be applied to field problemwells.
机译:油田卤水中的硫酸盐还原细菌(SRB)的活性引起与储层溶解相关的许多问题。基于刺激硝酸盐还原细菌的生物解决方案提供了使用杀生物剂和腐蚀抑制剂的新颖,廉价且环境友好的替代方案。设计实验以了解和优化与这种新颖治疗有关的机制,并为该技术的应用提供良好的技术基础。在此,在STARS储层模型中采用适当的微生物生长和代谢产物生成动力学模型来模拟实验室连续向上流动的填充床生物反应器测试。沿着生物反应器的长度观察到的组成变化适合于各种注射治疗方案。检查了对影响生长和生产率的因素的敏感性。然后,将具有北海条件典型特征的分层浸入油藏模型作为油田原型进行研究。指出了由多相流效应和基本过程引起的复杂性,并说明了对可生物降解的碳量,假定的微生物生长/衰变水平以及固液/液相细菌对过程演化的影响的敏感性。仿真结果很好地说明了如何将这种新颖的H2S酸化处理方法应用于现场问题井。

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