地下储层中的微生物硫酸盐还原:从全场建模和现场数据中汲取经验

SPE Journal Pub Date : 2024-06-01 DOI:10.2118/221453-pa
Ali Mahmoodi, Hamidreza M. Nick
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引用次数: 0

摘要

硫酸盐还原微生物存在于各种环境中,如浅海和淡水沉积物、地下水、碳氢化合物储层、热液喷口和泥火山。通常在油藏被海水(SW)淹没期间和之后,硫酸盐还原微生物会将硫酸盐还原成硫化氢(H2S),这就是所谓的微生物油藏酸化。H2S 是一种有害的腐蚀性气体,会增加采出液的处理成本。除了这种现象的微生物方面,地下多孔介质中不同尺度的多相流物理方面和(生物)化学反应之间的相互作用也会大大增加问题的复杂性。本研究调查了丹麦北海某油田几口油井的实际现场数据,并提出了一个与全油田储层模型相结合的修正储层酸化模型。研究了各种参数对生产成分数据的影响,并在不同的假设条件下,将模型与历史生产数据进行了比对。结果表明,在调整模型时,产水中的硫酸盐浓度数据可以作为产气中更常见的 H2S 浓度数据的有益补充,从而预测油气田未来的酸化情况。此外,研究还表明,生产数据可用于推断储层不同位置的各种微生物群落的活动情况。有趣的是,数据表明,在钻井和完井或生产井过程中,近井筒环境的变化可能会激活或引入硫酸盐还原微生物菌株,这些菌株是生产初期产气中 H2S 含量增加的原因。另一方面,注水区域的微生物酸化与生产后期 H2S 产量的增加相对应。此外,研究还显示了同一气田的不同区域如何表现出不同的酸化行为和宏观增长率(GRs),这归因于影响流动模式的不同因素,如达西尺度异质性和裂缝的存在。
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Microbial Sulfate Reduction in Underground Reservoirs: Learnings from Full-Field Modeling and Field Data
Sulfate-reducing microorganisms are found in various environments, such as shallow marine and freshwater sediments, groundwater, hydrocarbon reservoirs, hydrothermal vents, and mud volcanoes. The reduction of sulfate to hydrogen sulfide (H2S) by sulfate-reducing microorganisms, usually during and after flooding oil reservoirs with seawater (SW), is known as microbial reservoir souring. H2S is a hazardous and corrosive gas, which increases the treatment costs of the produced fluids. Other than the microbiological aspect of this phenomenon, the interplay among the physical aspects of the multiphase flow and (bio)chemical reactions at various scales in the porous media of the subsurface can significantly contribute to the complexity of the problem. This study investigates real field data of several wells in an oil field in the Danish North Sea and presents a modified reservoir souring model coupled with a full-field reservoir model. The effect of various parameters on the production composition data is investigated, and, under various sets of assumptions, the model is matched against the history of the production data. The results demonstrate that sulfate concentration data in the produced water can be a useful compliment to the more common H2S concentration data in the produced gas when tuning the model, thus predicting the future of souring in the field. Moreover, it is shown that the production data can be used to infer the activity of various microbial communities in different locations of the reservoir. Interestingly, the data suggest that the change in the near-wellbore environment during drilling and the completion or the production wells may activate or introduce strains of sulfate-reducing microorganisms, which are responsible for the increase in H2S content in the produced gas during the early stages of production. Microbial souring in the waterflooded regions, on the other hand, corresponds to the increase in H2S production in the later stages of production. Furthermore, it is shown how different sectors of the same field show different souring behaviors and macroscale growth rates (GRs), which are attributed to different elements that affect flow patterns, such as the presence of darcy-scale heterogeneity and fractures.
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