Volume 13, Issue 4 (2014)
MJEE 2014, 13(4): 69-76 |
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Moosavi S M S, Moaveni B, Moshiri B, Arvan M R. Error Analysis in Accelerometers Calibration of Measurement while Drilling Instrument used in Directional Drilling Operations. MJEE 2014; 13 (4) :69-76
URL: http://mjee.modares.ac.ir/article-17-5956-en.html
URL: http://mjee.modares.ac.ir/article-17-5956-en.html
1- Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
3- . School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
4- Department of Electrical Engineering, Malek-Ashtar University of Technology, Tehran, Iran
2- School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
3- . School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
4- Department of Electrical Engineering, Malek-Ashtar University of Technology, Tehran, Iran
Abstract: (4841 Views)
The aim of this paper is to analyze the sensor errors in measurement while drilling (MWD) instrument used in directional drilling operations. The MWD consist of three orthogonal accelerometers, three orthogonal magnetometers and one temperature sensor. The system formulation is achieved through the system analysis and functional consideration. The obtained formulation is validated and verified by comparing the results obtained from measurements and simulations. The accelerometers calibration, to estimate bias factors, scale factors and non-orthogonal factors of sensors, is done using optimal non-linear Newton Raphson algorithm by considering the high temperature calibration coefficients. The accuracy of the experimental results, obtained from several measurement while drilling systems in Iranian national oil drilling company shows the effectiveness of the approach.
Keywords: Directional drilling, Measurement While Drilling Instrument, Calibration, Sensor data fusion, Bias, Scale factor, Non-orthogonality
Received: 2016/08/23 | Accepted: 2014/01/21 | Published: 2016/08/23
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