Study on the FOG-Based Well-Trajectory-Logging Tool
- ChunHua Ren (Chongqing University) | Mo Li (Chongqing University) | LeiLei Li (Chongqing University) | Yongyuan Duan (Chongqing University) | Haiquan Weng (Chongqing University)
- Document ID
- Society of Petroleum Engineers
- SPE Drilling & Completion
- Publication Date
- September 2012
- Document Type
- Journal Paper
- 363 - 367
- 2012. Society of Petroleum Engineers
- 1.5.1 Surveying and survey programs, 5.6.1 Open hole/cased hole log analysis
- 0 in the last 30 days
- 377 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
The commonly used technology in well-trajectory logging, for both the oil and the gas well, is the magnetometer. However, it cannot work well in the magnetic-interfered or nonmagnetic environment, such as in a cased well or an iron mine. This paper presents a new trajectory-logging tool with a small diameter. Configured by a three-axis FOG unit and three quartz accelerometers, the logging tool allows for continuous attitude and trajectory measurement. High-temperature-caused accuracy degradation is the major error source for the underground environment. To diminish the thermal-related error, a flask stuffed with thermal-insulation material was embedded in the tool body; meanwhile, a wavelet neural network was used for identification of and compensation for the temperature drift. The system configuration, trajectory-resolution algorithm, and temperature-compensation algorithm are presented in this paper. Testing results show that the inclination accuracy is better than ±0.1°, with a range of 0 to 180°, and the azimuth accuracy is better than ±2°, with a range of 0 to 360°. The new logging tool resolves continuous trajectory-measurement problems in a magnetic-interfered or a nonmagnetic environment. Moreover, the capability of all-attitude measuring facilitates horizontal-well logging. Therefore, broad applications and good marketing could be anticipated for this new logging tool.
|File Size||3 MB||Number of Pages||5|
Hotate, K. and Kikuchi, Y. 2001. Analysis of thermooptically induced biasdrift in resonator fiber optic gyro. Proceedings of SPIE: The InternationalSociety for Optical Engineering 42 (04): 81-88.
N.A.D., IH.D., and MM.P. 2001. Measurement while drilling surveying ofhighly-inclined and horizontal well sections utilizing single axis gyro sensingsystem. Paper submitted to the IEEE. Transactions on Geoscience and RemoteSensing.
Ren, C., Pan,Y., He T., and Xiong, N. 2009. Research and implementation of anew orientation and incline instrument used in oil and gas wells. Proceedingof 9th International Conference on Electronic Measurement and Instruments.Beijing: IEEE Computer Society. 11027-11030.
Ren, C.-H., Pan, Y.-J., Zh, X.-J., and Luo, H.-L. 2010. Study on fastprecision orientation and incline metering with small diameter fiber gyro.Chinese Journal of Scientific Instruments 31 (5):1126-1131.
Rogers, S.J., Fang, J.H., Karr, C.L., and Stanley, D.A. 1992. Determinationof lithology from well logs using a neural network. AAPG Bulletin 76: 731-739.
Shi, X.F. 2007. Strap-down Inertial Surveying System and Its Application inPetroleum Engineering J. Well Logging Technology 31 (5):466-469.
Szu, H., Telfer, B., and Garcia, J. 1996. Wavelet transforms and neuralnetworks for compression and recognition. International Journal ofEngineering Science. Neural Networks 9 (4): 695-708.
Tamal, Y., Akhmetov, D., and Dote, Y. 1999. Novel Fuzzy-Neural Network WithGeneral Parameter Learning Applied to Sliding Mode Control Systems.Proceedings of the IEEE International Conference on Systems, Man andCybernetics 376-379.
Titterton, D.H. and Weston, J.L. 1997. Strapdown inertial navigationtechnology. London: Peter Peregrinus.