Logging while drilling operation

Prawira, A.

Abstract: This research presents detailed notes on the penetrating geological formations of the wellbore. Logs can be presented in two forms of good geological logs, means visual inspection of surface-carrying samples, and geophysical logs, means physical measurements by instruments that are lowered into holes. Logs that are created during drilling are called real-time logs. LWD tool is produced from real-time data transmitted to the surface computer from downhole. Three common services are Natural Gamma Ray, Resistivity, and Porosity and Bulk Density. The output of an LWD service is a log. A log is a graphical representation of the properties of the formation. Some factors that affect data quality are Depth Calculation, Sensor Malfunction and LWD Tools Measurements Fault. During drilling, borehole path monitoring is the important thing to be maintained because the quality of LWD data is critical for the success of any LWD job. Therefore, the field engineer has to understand the factors that affect data quality. Quality Control Process is the key to ensure that the tools are working properly.

How to cite this paper

        APA: Prawira, A. (2019). Logging while drilling operation. Engineering Solid Mechanics, 7(3), 163-178.
    

        Chicago/Turabian: Prawira, A. 2019. "Logging while drilling operation." Engineering Solid Mechanics 7, no. 3 (2019): 163-178.
    

        AMA: Prawira, A. Logging while drilling operation. Engineering Solid Mechanics. 2019;7(3):163-178.
    

References

Abimbola, M., Khan, F., & Khakzad, N. (2016). Risk-based safety analysis of well integrity operations. Safety Science, 84, 149-160.
Alford, J., Blyth, M., Tollefsen, E., Crowe, J., Loreto, J., Mohammed, S., ... & Rodriguez-Herrera, A. (2012). Sonic logging while drilling-shear answers. Oilfield Review, 24(1), 4-15.
Annaiyappa, P., Boone, S., Ellis, B., Kuttel, B., & Scarborough, J. (2012). U.S. Patent No. 8,215,417. Washington, DC: U.S. Patent and Trademark Office.
Asquith, G. and Krygowski, D, (2004), Basic Well Log Analysis. 2nd edition. AAPG Methods in Exploration Series, 28, 244pp.
Baaziz, A., & Quoniam, L. (2015). How to use Big Data technologies to optimize operations in Upstream Petroleum Industry.
Bittar, M. S., Paulk, M. D., Althoff, G., Rodney, P. F., & Hveding, F. (2017). U.S. Patent No. 9,638,022. Washington, DC: U.S. Patent and Trademark Office.
Chemali, R. E., & Dirksen, R. (2017). U.S. Patent No. 9,765,609. Washington, DC: U.S. Patent and Trademark Office.
Collett, T. S., Lee, M. W., Zyrianova, M. V., Mrozewski, S. A., Guerin, G., Cook, A. E., & Goldberg, D. S. (2012). Gulf of Mexico Gas Hydrate Joint Industry Project Leg II logging-while-drilling data acquisition and analysis. Marine and Petroleum Geology, 34(1), 41-61.
Darling, T. (2005). Well logging and formation evaluation. Gulf professional publishing, Oxford OX2 8DP, UK, 302 pp.
Ellis, D. V., & Singer, J. M. (2007). Well logging for earth scientists (Vol. 692). Dordrecht: Springer.
Ellis, D, V., & Singer, J. M. (2008). Well logging for earth scientists. Springer, 2nd edition Netherlands, 698 pp.
Hearst, J. R., & Nelson, P. H. (1985). Well logging for physical properties.
Herrmann, F.J.(1997). A scaling medium representation, a discussion on well-logs, fractals and waves, Phd thesis Delft University of Technology, Delft, The Netherlands, pp.315.
Herron, S., Herron, M., Pirie, I., Saldungaray, P., Craddock, P., Charsky, A., ... & Li, T. (2014). Application and quality control of core data for the development and validation of elemental spectroscopy log interpretation. Petrophysics, 55(05), 392-414.
Li, C. F. (2003). Rescaled-range and power spectrum analyses on well-logging data. Geophysical Journal International, 153(1), 201-212.
Melissinos, A. C., & Napolitano, J. (2003). Experiments in modern physics. Gulf Professional Publishing.
Pardo, D., Matuszyk, P. J., Torres‐Verdin, C., Mora, A., Muga, I., & Calo, V. M. (2013). Influence of borehole‐eccentred tools on wireline and logging‐while‐drilling sonic logging measurements. Geophysical Prospecting, 61(s1), 268-283.
Pike, B. (2002). Well-logging: the history of well-logging is rich with innovation as the technology celebrates its. Proquest.
Pilkington, M. & Tudoeschuck, J.P. (1991). Naturaly smooth inversions with a priori information from well logs. Geophysics, 56, 1811-1818
Qleibo, M., Shetty, S., Rasmus, J., Morriss, C., Ito, K., Asif, S., ... & Stockhausen, E. J. (2014, October). Fast Automatic Method for Structural Interpretation of Logging-While-Drilling Images Acquired in Horizontal Wells. In EAGE Borehole Geology Workshop.
Sun, K., Omeragic, D., Minh, C. C., Rasmus, J., Yang, J., Davydychev, A., ... & Li, Q. (2010). Evaluation of resistivity anisotropy and formation dip from directional electromagnetic tools while drilling. In SPWLA 51st Annual Logging Symposium. Society of Petrophysicists and Well-Log Analysts.
Seydoux, J., Legendre, E., Mirto, E., Dupuis, C., Denichou, J. M., Bennett, N., ... & Yang, L. (2014). Full 3D deep directional resistivity measurements optimize well placement and provide reservoir-scale imaging while drilling. In SPWLA 55th Annual Logging Symposium. Society of Petrophysicists and Well-Log Analysts.
Schlumberger (1985). Log interpretation charts. Schlumberger, New York, USA, 207 pp.
Schlumberger (1989). Schlumberger log principles and applications. Schlumberger, Wireline & Testing, Texas, USA, 230 pp.
Youmans, A. H. (1968). U.S. Patent No. 3,379,882. Washington, DC: U.S. Patent and Trademark Office.