A Measuring System for Well Logging Attitude and a  Method of Sensor Calibration

Ren, Yong; Wang, Yangdong; Wang, Mijian; Wu, Shun; Wei, Biao

doi:10.3390/s140509256

Cited by 11 publications

(3 citation statements)

References 8 publications

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“…The current methods for MEMS sensors are applicable for calibrating the error models of MEMS inclinometers, including scale factors, bias, and non-orthogonalities [11,12,13,14]. Less attention has been paid to the dynamic performance of the MEMS inclinometer.…”

Section: Introductionmentioning

confidence: 99%

Testing of a MEMS Dynamic Inclinometer Using the Stewart Platform

Liu

Cai

Yang

et al. 2019

Sensors

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The micro-electro-mechanical system (MEMS) dynamic inclinometer integrates a tri-axis gyroscope and a tri-axis accelerometer for real-time tilt measurement. The Stewart platform has the ability to generate six degrees of freedom of spatial orbits. The method of applying spatial orbits to the testing of MEMS inclinometers is investigated. Inverse and forward kinematics are analyzed for controlling and measuring the position and orientation of the Stewart platform. The Stewart platform is controlled to generate a conical motion, based on which the sensitivities of the gyroscope, accelerometer, and tilt sensing are determined. Spatial positional orbits are also generated in order to obtain the tilt angles caused by the cross-coupling influence. The experiment is conducted to show that the tested amplitude frequency deviations of the gyroscope and tilt sensing sensitivities between the Stewart platform and the traditional rotator are less than 0.2 dB and 0.1 dB, respectively.

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Section: Introductionmentioning

confidence: 99%

Testing of a MEMS Dynamic Inclinometer Using the Stewart Platform

Liu

Cai

Yang

et al. 2019

Sensors

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“…In this paper, we mainly focus on the usage of the quartz accelerometer in tilt sensing systems [16], such as Measurement While Drilling (MWD) and Logging While Drilling (LWD), which are used to monitor and guide the down borehole directional drilling in oil and gas exploration. Two main involved angles, inclination and roll angle, are illustrated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

A Temperature Compensation Model for Low Cost Quartz Accelerometers and Its Application in Tilt Sensing

Fang

Tang

et al. 2016

Mathematical Problems in Engineering

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Although the quartz accelerometer has made great advances, the performance, in some specific applications such as tilt sensing, needs to be well compensated in high temperature environment. Based on the high temperature testing of low cost quartz accelerometers, we found that the normalized positive and negative parts are asymmetrical at high temperature and the temperature curve of zero sensor output is related to the roll angle of the sensor. Traditional temperature compensation method only considers the temperature factor and ignores the roll sensitivity, which leads to deteriorated accuracy. To solve this problem, this paper proposes a novel and simple mathematical model to obtain a more accurate expression of zero sensor output, which makes the sensor output more robust at high temperature. Experimental results on two low cost quartz accelerometers demonstrate that the proposed model is feasible and effective, which could reduce the temperature drift error of the sensor output typically from 0.01 g to 0.001 g. Furthermore, we introduce the compensated sensors in the three-axis inclinometer system for tilt sensing, and the evaluation results show that the temperature drift error of the inclination in the range (20∘C,150∘C) is reduced typically from0.4∘to0.1∘compared to the traditional method.

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“…Some other technical issues, such as downhole power supply and data transmission, are not discussed here because permanent downhole gauges and optical fiber monitoring systems have been successfully applied in smart wells (Glandt, 2005). Radar transceiver modules are also possible to be installed in the limited downhole space with the development of microelectromechanical systems (Ren et al, 2014). Based on the clarifications, we believe that it will be technically achievable for borehole radars installed in a smart well.…”

Section: Radar Modelingmentioning

confidence: 99%

Reservoir monitoring using borehole radars to improve oil recovery: Suggestions from 3D electromagnetic and fluid modeling

et al. 2018

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The recently developed smart well technology allows for sectionalized production control by means of downhole inflow control valves and monitoring devices. We consider borehole radars as permanently installed downhole sensors to monitor fluid evolution in reservoirs, and it provides the possibility to support a proactive control for smart well production. To investigate the potential of borehole radar on monitoring reservoirs, we establish a 3D numerical model by coupling electromagnetic propagation and multiphase flow modeling in a bottom-water drive reservoir environment. Simulation results indicate that time-lapse downhole radar measurements can capture the evolution of water and oil distributions in the proximity (order of meters) of a production well, and reservoir imaging with an array of downhole radars successfully reconstructs the profile of a flowing water front. With the information of reservoir dynamics, a proactive control procedure with smart well production is conducted. This method observably delays the water breakthrough and extends the water-free recovery period. To assess the potential benefits that borehole radar brings to hydrocarbon recovery, three production strategies are simulated in a thin oil rim reservoir scenario, i.e., a conventional well production, a reactive production, and a combined production supported by borehole radar monitoring. Relative to the reactive strategy, the combined strategy further reduces cumulative water production by 66.89%, 1.75%, and 0.45% whereas it increases cumulative oil production by 4.76%, 0.57%, and 0.31%, in the production periods of 1 year, 5 years, and 10 years, respectively. The quantitative comparisons reflect that the combined production strategy has the capability of accelerating oil production and suppressing water production, especially in the early stage of production. We suggest that borehole radar is a promising reservoir monitoring technology, and it has the potential to improve oil recovery efficiency.

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A Measuring System for Well Logging Attitude and a Method of Sensor Calibration

Cited by 11 publications

References 8 publications

Testing of a MEMS Dynamic Inclinometer Using the Stewart Platform

Testing of a MEMS Dynamic Inclinometer Using the Stewart Platform

A Temperature Compensation Model for Low Cost Quartz Accelerometers and Its Application in Tilt Sensing

Reservoir monitoring using borehole radars to improve oil recovery: Suggestions from 3D electromagnetic and fluid modeling

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