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How in the absence of figures, can we justify the economic loss due to microbial corrosion? Proposing 'Deductive Estimation Approach' as a rough Estimation

机译:在没有数据的情况下,如何证明微生物腐蚀造成的经济损失呢?提出“演绎估计法”作为粗略估计

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If corrosion is affected by the presence and action of microorganism such as, but not limited to, bacteria it is called microbiologically influenced corrosion (MIC) or alternatively, microbial corrosion. Almost all engineering materials (except Titanium alloys) are vulnerable to MIC. Some examples of industries vulnerable to MIC are as follows: 1. Pipelines (on-shore/offshore- water & waste water treatment... 2. Chemical processes equipment (HX, condensers, ...) 3. Hydrants (fire water) rings Water and waste water treatment plants 4. Thermal/combined cycle powerplants Risk of MIC increases if 1. If the water used in the system (either as process water or cooling water) is on liquid form, undertreated or maltreated, is stagnant (flow rate less than 1.5 nVs),and is in contact with rough surfaces (eg after welding). Based on existing knowledge about the economic impact of corrosion and MIC, it has been established that the cost of corrosion to the economy of countries is between 3-5 % of their GDP (Gross Domestic Product). While fluctuations in this range is also acceptable, the norm can be taken as such. On the other hand, the minimum economic loss due to MIC is about 20% of the total loss due to corrosion. Even this figure is not constant so that in some industries the economic contribution of MIC can even reach to 50% of the corrosion loss. While these numbers are results of some sporadic researches, there is no numbers that show clearly shows the ranking of MIC among the economical loss due to other corrosion processes. However due to many factors, for many countries no official tracks about the economic impact of MIC is available. Therefore, we will use a method that we call as "Deductive Estimation Approach" or DEA for short. DEA is based on the following four basic assumptions: 1. Share of economic loss due to corrosion in any given country is minimum 3% and maximum 5 %. We will take this share as to be 3% of the GDP of that country. 2. Share of economic loss due to MIC will be taken as 20% of the loss due to corrosion in any given country. 3. Economical loss due to MIC in any given industry in a any given country will be calculated based on the share of that particular industry in that particular country's economy 4. Economic loss due to MIC in that country is calculated by then taking 20% of the resulting figure for the economic loss due to corrosion in that country. In this paper after describing the EDA method, its pros and cons are discussed in details. It must be noted that for many countries-especially oil producing countries- it is not possible to have such figures as issued from official entities. Therefore, having a rough estimation method that can give an idea about the economic loss due to MIC is an opportunity to be appreciated by many organizations/companies where MIC could be a significant source of problems.
机译:如果腐蚀受到微生物(例如但不限于细菌)的存在和作用的影响,则称为微生物影响腐蚀(MIC)或微生物腐蚀。几乎所有工程材料(钛合金除外)都容易受到MIC的影响。以下是一些容易受到中等收入国家影响的行业示例:1.管道(岸上/近岸水和废水处理... 2.化学处理设备(HX,冷凝器等)3.消防栓(消防水)环水和废水处理厂4.热/联合循环发电厂如果1.如果系统中使用的水(作为工艺用水或冷却水)为液体形式,未充分处理或不良处理,则停滞(流量),会增加MIC的风险。腐蚀速率小于1.5 nVs,并且与粗糙表面接触(例如,焊接后)。根据有关腐蚀和MIC的经济影响的现有知识,可以确定腐蚀对各国经济的成本在3到3之间。 GDP的-5%(国内生产总值),虽然此范围内的波动也是可以接受的,但可以照常算;另一方面,由于MIC造成的最低经济损失约占总损失的20%甚至腐蚀这个数字也不是恒定的,因此在某些行业MIC的经济贡献甚至可以达到腐蚀损失的50%。尽管这些数字是一些零星研究的结果,但没有数字能清楚地表明MIC在由其他腐蚀过程引起的经济损失中的排名。但是,由于许多因素,对于许多国家/地区,没有关于MIC的经济影响的官方记录。因此,我们将使用一种称为“演绎估计法”或DEA的方法。 DEA基于以下四个基本假设:1.在任何给定的国家/地区中,由于腐蚀而造成的经济损失份额至少为3%,最大为5%。我们将把这个份额占该国国内生产总值的3%。 2.在任何特定国家/地区,由于MIC造成的经济损失份额应占腐蚀造成的损失的20%。 3.在任何给定国家/地区中,任何给定行业的MIC造成的经济损失将基于该特定行业在该特定国家/地区经济中的份额进行计算。4.在该国/地区,由于MIC所导致的经济损失应取其20%那个国家因腐蚀造成的经济损失的最终数字。本文在介绍了EDA方法之后,详细讨论了它的优缺点。必须指出的是,对于许多国家,特别是石油生产国,不可能有官方机构发布的数字。因此,拥有一个粗略的估算方法可以对由于MIC造成的经济损失有一个大概的了解,这是许多组织/公司可能会意识到MIC可能是一个重要问题根源的机会。

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