Continuous Real-Time Measurement of Drilling Trajectory With New State-Space Models of Kalman Filter

Xue, Qilong; Leung, Henry; Wang, Ruihe; Liu, Baolin; Wu, Yunsheng

doi:10.1109/tim.2015.2479096

Cited by 47 publications

(19 citation statements)

References 17 publications

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“…These drilling technologies commonly use measurement while drilling and logging while drilling systems. These systems use MEMS gyroscopes, accelerometers and wireless communication systems for position measurement and real-time data acquisition [159]. The drilling guidance systems are used in underground coal directional drilling and coal seam degasification to guide the drill to reach the targeted dip and azimuth.…”

Section: Mining Industrymentioning

confidence: 99%

Recent developments in fibre optic shape sensing

et al. 2018

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This paper presents a comprehensive critical review of technologies used in the development of fibre optic shape sensors (FOSSs). Their operation is based on multi-dimensional bend measurements using a series of fibre optic sensors. Optical fibre sensors have experienced tremendous growth from simple bend sensors in 1980s to full three-dimensional FOSSs using multicore fibres in recent years. Following a short review of conventional contact-based shape sensor technologies, the evolution trend and sensing principles of FOSSs are presented. This paper identifies the major optical fibre technologies used for shape sensing and provides an account of the challenges and emerging applications of FOSSs in various industries such as medical robotics, industrial robotics, aerospace and mining industry.

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Section: Mining Industrymentioning

confidence: 99%

Recent developments in fibre optic shape sensing

et al. 2018

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“…To improve the performance of reservoir prediction, Raghu [ 35 ] used a Kalman filter to estimate the spatial permeability distribution. Xue [ 36 ] used the Kalman state-space model to correct the triaxial parameters near the bit. By using the concentration of radioactive elements, Soltani [ 37 ] proposed a Kalman-based method for solving log estimation.…”

Section: Introductionmentioning

confidence: 99%

Wavelet-Based Kalman Smoothing Method for Uncertain Parameters Processing: Applications in Oil Well-Testing Data Denoising and Prediction

Feng

et al. 2020

Sensors

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The low-distortion processing of well-testing geological parameters is a key way to provide decision-making support for oil and gas field development. However, the classical processing methods face many problems, such as the stochastic nature of the data, the randomness of initial parameters, poor denoising ability, and the lack of data compression and prediction mechanisms. These problems result in poor real-time predictability of oil operation status and difficulty in offline interpreting the played back data. Given these, we propose a wavelet-based Kalman smoothing method for processing uncertain oil well-testing data. First, we use correlation and reconstruction errors as analysis indicators and determine the optimal combination of decomposition scale and vanishing moments suitable for wavelet analysis of oil data. Second, we build a ground pressure measuring platform and use the pressure gauge equipped with the optimal combination parameters to complete the downhole online wavelet decomposition, filtering, Kalman prediction, and data storage. After the storage data are played back, the optimal Kalman parameters obtained by particle swarm optimization are used to complete the data smoothing for each sample. The experiments compare the signal-to-noise ratio and the root mean square error before and after using different classical processing models. In addition, robustness analysis is added. The proposed method, on the one hand, has the features of decorrelation and compressing data, which provide technical support for real-time uploading of downhole data; on the other hand, it can perform minimal variance unbiased estimates of the data, filter out the interference and noise, reduce the reconstruction error, and make the data have a high resolution and strong robustness.

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“…In [18], we propose an iterative algorithm to calculate the maximum pressure points and use them as the contact points to fit the trajectory. In [23]- [25], trajectories are solved and fitted through a large number of iterations.…”

Section: Introductionmentioning

confidence: 99%

A Wireless Trajectory Measurement System for Unicondylar Knee Arthroplasty

Wang

Zhou

et al. 2020

IEEE Trans. Instrum. Meas.

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During unicondylar knee arthroplasty surgery, the tibial prosthesis is fixed and the angle of distal femoral prosthesis relative to the prosthetic gasket is changed to generate the force line trajectory, which is important for doctors to judge the appropriate position of the implants. In this paper, we propose a wireless force line trajectory measurement system for unicondylar knee arthroplasty, which includes the pressure sensors array, the control and processing data circuits, the radio frequency transmitter, and the data recorder. Data from twenty sensors is processed and transmitted wirelessly, and the force line trajectory is displayed on the screen in real-time. The least squares fitting algorithm is proposed, with which we obtain the pressure distribution, the maximum pressure points and the force line trajectory. We adopt field programmable gate array to implement the algorithm with lower-upper decomposition to fit the trajectory faster and transmit less data to save power. The average current consumption of the system is 1.37mA in the operating mode. Dimensions of the data transmission module are length 70mm, width 35mm and height 4mm. The total uncertainty of the system measurement force line trajectory is 0.92mm. Experimental results show that the system meets the requirement of real-time measurement of the force line trajectory during the surgery.

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Continuous Real-Time Measurement of Drilling Trajectory With New State-Space Models of Kalman Filter

Cited by 47 publications

References 17 publications

Recent developments in fibre optic shape sensing

Recent developments in fibre optic shape sensing

Wavelet-Based Kalman Smoothing Method for Uncertain Parameters Processing: Applications in Oil Well-Testing Data Denoising and Prediction

A Wireless Trajectory Measurement System for Unicondylar Knee Arthroplasty

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