Souring Prediction on Mature Waterflooded Reservoirs in North Kuwait

S. I. Al-Refai, M. Al-ajmi, Lukman Oduola, C. Martinez
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引用次数: 2

Abstract

Presence of H2S detected in producing wells of North Kuwait sweet waterflooded reservoirs over the last 18 years, gave indications of biogenic souring. In response to this, the Kuwait Oil Company engaged in detailed souring potential assessments of selected reservoirs such as the Raudhatain Mauddud (RAMA), to predict the further generation of H2S and define the required souring mitigation strategy to ensure safe production over the remaining field life. The souring simulation modelling was conducted on the RAMA subsurface model with support from Shell, using a state of the art souring prediction program. The initial phase of the study consisted in the history match simulation to define the most likely souring mechanism in the field. The forecast considered various scenarios with a range of sensitivities on carbon nutrient and sulphate levels, both in formation and injected water in the field. The history match simulation results showed a good correlation with most of the producers with available H2S data. The Forecast simulation over the next 15-year period predicts a moderate souring severity for this reservoir, based on the maximum H2S mass flow rate of 90 kg/d and H2S in gas maximum concentration of 85 ppmv at the field level. This work provides the petroleum Industry further insights into the souring behavior when effluent water is injected in addition to seawater, particularly the effects of additional carbon nutrients fed into the reservoir.
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科威特北部成熟水淹油藏酸化预测
在过去的18年里,在北科威特甜水驱油藏的生产井中检测到H2S的存在,这表明了生物酸化的迹象。为此,科威特石油公司对Raudhatain Mauddud (RAMA)等选定的油藏进行了详细的酸化潜力评估,以预测H2S的进一步生成,并确定所需的酸化缓解策略,以确保在剩余的油田生命周期内安全生产。在壳牌的支持下,利用最先进的酸败预测程序,对RAMA地下模型进行了酸败模拟建模。研究的初始阶段包括历史匹配模拟,以确定油田中最可能的酸化机制。该预测考虑了各种情况,对地层和油田注入水中的碳营养和硫酸盐水平具有一系列敏感性。历史拟合模拟结果显示,与大多数生产商的可用H2S数据具有良好的相关性。基于最大H2S质量流量为90 kg/d,天然气中H2S的最大浓度为85 ppmv,预测该油藏未来15年的酸化程度为中等。这项工作为石油行业进一步了解除海水外注入废水时的酸化行为,特别是注入储层的额外碳营养物的影响提供了进一步的见解。
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