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A Mechanistic Model To Evaluate Reservoir Souring in the Ekofisk Field

机译:评估Ekofisk油田储层力学性的力学模型

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This paper presents a mechanistic approach to modeling the reservoir souring process in the Ekofisk Field, located in the Norwegian sector of the North Sea with over 6 billion STB OOIP and currently producing about 300,000 BOPD and injecting around 500,000 BWPD sea water. The objectives of this study were to determine if observed increases in H_2S concentrations from this seawater-flooded oilfield were due to microbiological activity and, if so, to estimate future H_2S production with further seawater injection and proposed produced water reinjection. Mechanisms considered in the model were imbibition and water flow through a highly fractured chalk formation; generation of H_2S due to the activity of sulfate-reducing bacteria (SRB); and partitioning of H_2S between the oil, water, and gas within the reservoir and in the topside separation system.Model-calculated H_2S production rates for individual wells, waterflood patterns, and full-field compared well to actual rates. Results indicated that both the water-oil and gas-oil ratios have a large impact on measured H_2S concentrations in the produced gas, but that increased water production is responsible for significant increases in total H_2S production. However, results also indicated that only a small fraction of the biogenic H_2S will be transported to the producer.This model presents a new approach for evaluating and forecasting the effects of souring for a naturally fractured reservoir whereby a biofilm is developed on the fracture faces and microbial nutrients are provided by incoming seawater and from formation water initially in the chalk matrix. It incorporates a mechanistic understanding of all of the key processes and is calibrated using the actual historical production rates from wells in several waterflood patterns. Presented in this paper are the model-forecasted results for the field-wide H_2S production associated with continued seawater injection.
机译:本文提出了一种机械方法来模拟Ekofisk油田的储层吞吐过程,该油田位于北海的挪威海域,拥有60亿个STB OOIP,目前产生约300,000 BOPD的水量和注入约500,000 BWPD的海水。这项研究的目的是确定观察到的该注水油田中H_2S浓度的增加是否是由于微生物活动引起的,如果是,则通过进一步注入海水和提议的注入水来估算未来的H_2S产量。模型中考虑的机制是吸水和水流过高裂缝性白垩岩层。由于硫酸盐还原细菌(SRB)的活性而产生H_2S; H_2S在油藏和顶部分离系统内的油,水和气之间的分配。 用模型计算得出的单井,注水模式和全油田的H_2S生产率与实际生产率进行了比较。结果表明,水油比和瓦斯油比都对所测天然气中H_2S的浓度有很大的影响,但是增加的水产量是导致总H_2S产量显着增加的原因。但是,结果还表明,只有一小部分的生物H_2S将被运输到生产者。 该模型提供了一种新方法,用于评估和预测天然裂缝性储层的酸蚀效果,从而在裂缝面上形成生物膜,并通过流入的海水和白垩基质中最初的地层水提供微生物营养。它结合了对所有关键过程的机械理解,并使用几种注水井的实际历史生产率进行了校准。本文介绍的是与持续注入海水有关的全油田H_2S生产的模型预测结果。

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