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Iron Nanoparticle Modified Smart Cement for Real Time Monitoring of Ultra Deepwater Oil Well Cementing Applications

机译:铁纳米颗粒改性智能水泥,用于超深水油井固井应用的实时监测

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Better controls during well drilling and cementing operation are critical to ensure safety during constructionrnand the entire service life of the wells. For a successful cementing operation determine the setting ofrncement in place length of cement supporting the casing and performance of the cement after hardening.rnAt present there are no technologies available to monitor the cementing operations without using buriedrnsensors that could weaken the cement sheath.rnIn this study, smart cement with 0.38 water-to-cement ratio was modified with Iron nanoparticlesrn(NanoFe) to have better sensing properties, so that its behavior can be monitored at various stages ofrnconstruction and during the service life of wells. A series of experiments evaluated the smart cementrnbehavior with and without NanoFe in order to identify the most reliable sensing properties that can alsornbe relatively easily monitored. Tests were performed on the smart cement from the time of mixing tornhardened state behavior. During the initial setting the electrical resistivity changed with time based on thernamount of NanoFe used to modify smart oil well cement. A new quantification concept has beenrndeveloped to characterize cement curing based on electrical resistivity changes in the first 24 hours ofrncuring. When cement was modified with 0.1 percent of conductive filer (CF), the piezoresistive behaviorrnof the hardened smart cement was substantially improved without affecting the rheological and settingrnproperties of the cement. For the smart cement the resistivity change at peak stress was about 2000 timesrnhigher than the change in the compressive strain after 28 days of curing.rnThe shear thinning behavior of the smart cement slurries with and without NanoFe at two differentrntemperatures (25℃ and 85℃) have been quantified using the new hyperbolic model and compared withrnanother constitutive model with three material parameters, Vocadlo model. The results showed that thernhyperbolic model predicated the shear thinning relationship between the shear stress and shear strain raternof the NanoFe modified smart cement slurries very well. Also the hyperbolic model has a maximum shearrnstress limit were as the other model did not have a limit on the maximum shear stress. Based on thernhyperbolic model the maximum shear stresses produced by the 0 percent, 0.5 percent, and 1 percent ofrnNanoFe at temperature of 25℃ were 175 Pa, 224 Pa, and 298 Pa, respectively. The maximum shearrnstresses produced by the 0 percent, 0.5 percent, and 1 percent of NanoFe at temperature of 85℃ were 349rnPa, 377 Pa and 465 Pa respectively. Additional of 1 percent NanoFe reduced the initial resistivity of thernsmart cement by 16 percent. In a 24-hour period the maximum change in the electrical resistivity (RI_(24hr))rnfor the smart cement without NanoFe was 333 percent. The RI_(24hr) for the smart cement with NanoFernincreased with the amount of NanoFe. Addition of 1 percent NanoFe increased the compressive strengthrnof the smart cement by 26 percent and 42 percent after 1 day and 28 days of curing respectively. The testrnresults showed that NanoFe decreased the electrical resistivity of the smart cement slurries with andrnwithout NanoFe. For the smart cement modified with NanoFe, the resistivity change at peak stress wasrnover 2800 times higher than the change in the compressive strain. A linear correlation was obtainedrnbetween the RI_(24hr) and the compressive strength of the modified smart cement based on the curing time.
机译:在钻井和固井作业过程中,更好的控制对于确保施工期间的安全以及整个井的使用寿命至关重要。为了成功进行固井作业,请确定支撑套管的水泥的固井长度和硬化后水泥的性能.rn目前,没有可用的技术来监测固井作业,而无需使用会削弱水泥护套的埋入式传感器。铁纳米颗粒(NanoFe)对水灰比为0.38的智能水泥进行了改性,使其具有更好的感测性能,因此可以在施工的各个阶段以及在井的使用寿命期间对其行为进行监测。一系列实验评估了具有和不具有NanoFe的智能水泥行为,以便确定也可以相对容易地监控的最可靠的传感特性。从混合硬化状态行为开始,就对智能水泥进行了测试。在初始设置期间,电阻率会根据用于改性智能油井水泥的NanoFe的量而随时间变化。已经开发了一种新的定量概念,可以根据固化前24小时的电阻率变化来表征水泥固化。当用0.1%的导电填料(CF)改性水泥时,硬化智能水泥的压阻特性得到了显着改善,而不会影响水泥的流变性和固化性能。对于智能水泥,在固化28天后,其峰值应力的电阻率变化比压缩应变的变化高约2000倍。rn在有两种不同温度(25℃和85℃)下,有和没有NanoFe的智能水泥浆的剪切稀化行为已使用新的双曲模型进行了量化,并与具有三个材料参数的其他本构模型Vocadlo模型进行了比较。结果表明,双曲线模型很好地预测了纳米铁改性智能水泥浆料的剪切应力与剪切应变率之间的剪切稀化关系。同样,双曲线模型具有最大剪应力极限,因为另一个模型没有最大剪应力极限。根据双曲线模型,温度为25%时,0%,0.5%和1%的纳米铁所产生的最大剪切应力分别为175 Pa,224 Pa和298 Pa。在85℃温度下,0%,0.5%和1%的纳米铁所产生的最大剪应力分别为349rnPa,377Pa和465Pa。额外添加1%的NanoFe,可使Thersmart水泥的初始电阻率降低16%。在24小时内,不含NanoFe的智能水泥的最大电阻率(RI_(24hr))rn变化为333%。 NanoFern的智能水泥的RI_(24hr)随着NanoFe的增加而增加。固化1天和28天后,添加1%NanoFe可使智能水泥的抗压强度分别提高26%和42%。测试结果表明,纳米铁降低了含或不含纳米铁的智能水泥浆的电阻率。对于用纳米铁改性的智能水泥,在峰值应力下的电阻率变化比压缩应变的变化高2800倍。根据固化时间,RI_(24hr)与改性智能水泥的抗压强度之间存在线性关系。

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