Influence of Humidity, Moisture and Temperature on the Electric Properties of Self-Sensing Cement Pastes for Post-Abandonment Well Monitoring

Pedro de Almeida Carísio, C.C.P. Carvalho, Marcela de Oliveira Cocchiarale, Lincoln Homero Thomé Ferreira, O. A. Reales, E. Fairbairn, R. D. T. Filho
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引用次数: 1

Abstract

The self-sensing capability is a well-studied property of carbon nanotubes blended cement pastes intended for civil construction applications. Nevertheless, most of the studies that can be found in the literature were performed at room temperature, natural humidity and atmospheric pressure. It is necessary to understand how down-hole conditions affect the electrical response of this intelligent material to identify its potential application in the oil industry. This paper presents a study on the effect of relative humidity, internal moisture and temperature on the electric properties of self-sensing cement pastes. These pastes were manufactured with class G cement blended with carbon nanotubes and are intended to be used as an intelligent material capable of auto monitoring its internal stresses and deformations during the post-abandonment phase of a well. Carbon nanotubes blended cement pastes were molded in 2.5 × 2.5 × 11.5 cm3 prisms embedded with copper electrodes. The produced samples were exposed to different relative humidity, internal moisture and temperature conditions and their electrical resistivity was measured at each condition by connecting a DC power supply and a multimeter to the embedded electrodes. Relative humidity and temperature was varied in a climate chamber, already internal moisture was varied by saturating and partially drying the material. It was found that the electrical resistivity of the studied pastes is more highly sensible to internal moisture and temperature, while relative humidity had a lower effect under the studied conditions. These results lead to the conclusions that the electrical response of carbon nanotubes blended pastes is highly affected by environmental conditions, and that for oil-well applications it is necessary to develop correction models that allow an accurate measurement of the internal stresses and deformations of the material.
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湿度、湿度和温度对弃井后监测自感水泥浆电性能的影响
自传感能力是碳纳米管混合水泥浆在民用建筑中的应用。然而,在文献中可以找到的大多数研究都是在室温、自然湿度和大气压下进行的。有必要了解井下条件如何影响这种智能材料的电响应,以确定其在石油工业中的潜在应用。本文研究了相对湿度、内部湿度和温度对自感水泥浆体电性能的影响。这些浆料是由G级水泥与碳纳米管混合制成的,旨在作为一种智能材料,能够在弃井后阶段自动监测其内应力和变形。碳纳米管混合水泥膏体在嵌入铜电极的2.5 × 2.5 × 11.5 cm3的棱镜中成型。将制作好的样品置于不同的相对湿度、内部湿度和温度条件下,通过将直流电源和万用表连接到嵌入的电极上,测量其在每种条件下的电阻率。相对湿度和温度在气候室中变化,内部湿度已经通过使材料饱和和部分干燥而变化。研究发现,膏体的电阻率对内部湿度和温度的影响较大,相对湿度的影响较小。这些结果表明,碳纳米管混合膏体的电响应受到环境条件的高度影响,对于油井应用,有必要开发校正模型,以便准确测量材料的内应力和变形。
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