Drilling trajectory survey technology based on 3D RISS with a single fiber optic gyroscope

Abstract Recently, a complete inertial measurement unit (CIMU) with three-axis Fiber optic gyroscopes (FOG) has replaced the three-axis magnetometers in Measurement While Drilling system (MWDs) to survey the drilling trajectory. However, installing three FOGs into MWDs meets lots of challenges. Firstly, because of the limited space in the downhole, CIMU is too big to accommodate all kinds of well. Secondly, the capacity of the power battery supporting the MWD is limited while CIMU has a high-power consumption. Finally, because of the high cost of FOGs, CIMU increases the drilling tool expense. Thus, on the basis of implementing the survey drilling trajectory function, it is critical to reduce the number of FOGs. Targeting a low-power, low-cost and high-accuracy navigation solution for MWD, this paper proposed a three-dimension (3D) navigation solution using a reduced inertial sensor system (RISS) for MWD. The RISS consists of only one single-axis FOG and three-axis accelerometers. In order to improve the measurement accuracy, the drilling piper length information obtained from a recursive algorithm named as Average Angle Method (AAM) was fused to RISS using the Kalman filter method. To validate the availability and utility of this surveying method, three experiments simulating different drilling process were performed using three-axis rate table under laboratory conditions. The experiment results show that the proposed solution could provide accurate directional and orientation information of the wellbore trajectory while drilling.

[1]  Aboelmagd Noureldin,et al.  Augmented Kalman Filter and Map Matching for 3D RISS/GPS Integration for Land Vehicles , 2012 .

[2]  Chun-xi Zhang,et al.  Influence of linear vibration on the errors of three-axis FOGs in the measurement while drilling systems , 2018 .

[3]  Aboelmagd Noureldin,et al.  Experimental Results on an Integrated GPS and Multisensor System for Land Vehicle Positioning , 2009 .

[4]  Aboelmagd Noureldin,et al.  Low-Cost Three-Dimensional Navigation Solution for RISS/GPS Integration Using Mixture Particle Filter , 2010, IEEE Transactions on Vehicular Technology.

[5]  Aboelmagd Noureldin,et al.  Nonlinear Modeling of Azimuth Error for 2D Car Navigation Using Parallel Cascade Identification Augmented with Kalman Filtering , 2010 .

[6]  Zhenhua Wang,et al.  Rotary in-drilling alignment using an autonomous MEMS-based inertial measurement unit for measurement- while-drilling processes , 2013, IEEE Instrumentation & Measurement Magazine.

[7]  Chunxi Zhang,et al.  A Long-Term Performance Enhancement Method for FOG-Based Measurement While Drilling , 2016, Sensors.

[8]  Tao Wang,et al.  The Fast algorithm of the dynamic Allan variance for gyroscopes , 2016 .

[9]  A. Osman,et al.  A Reduced Inertial Sensor System Based on MEMS for Wellbore Continuous Surveying While Horizontal Drilling , 2018, IEEE Sensors Journal.

[10]  Martin P. Mintchev,et al.  Measurement-while-drilling surveying of highly inclined and horizontal well sections utilizing single-axis gyro sensing system , 2004 .

[11]  Rui Zhang,et al.  Modeling of torsional oscillation of drillstring dynamics , 2019, Nonlinear Dynamics.

[12]  Martin P. Mintchev,et al.  Accuracy limitations of FOG-based continuous measurement-while-drilling surveying instruments for horizontal wells , 2002, IEEE Trans. Instrum. Meas..

[13]  Naser El-Sheimy,et al.  Wellbore Surveying While Drilling Based on Kalman Filtering , 2010 .

[14]  U. Iqbal,et al.  An integrated reduced inertial sensor system — RISS / GPS for land vehicle , 2008, 2008 IEEE/ION Position, Location and Navigation Symposium.

[15]  Wang Li,et al.  Particle Filter with Novel Nonlinear Error Model for Miniature Gyroscope-Based Measurement While Drilling Navigation , 2016, Sensors.

[16]  Qilong Xue,et al.  Continuous Measurement-While-Drilling Utilizing Strap-Down Multi-Model Surveying System , 2014, IEEE Transactions on Instrumentation and Measurement.