Characterizing Drilling Dysfunction: Taking the T Out of HFTO

Author:

Johnson Ashley1,Bhoite Sameer,Long David1,Reagan Chris1

Affiliation:

1. Schlumberger

Abstract

Abstract High-frequency torsional oscillation (HFTO) is recognised as one of the more damaging drilling dysfunctional mechanisms. The HFTO can cause significant tool damage in addition to nonproductive time (NPT). This vibration has been shown to be more prolific in motor powered steering assembles where it is thought that the long stick-out resonates torsionally with the energy coming into the system at the bit and a reflection of torsional energy at the motor. Using data derived from a next-generation measurement-while-drilling (MWD) tool, which includes high-speed vibration and internal pressure measurements, we will show that these dynamics are more complex than generally visualized. HFTO is in fact three different families of vibration. The conventional HFTO, where the stickout below the motor is resonating, is considered to be Type 1. In the Type 2 group, energy is trapped in the lower bottomhole assembly (BHA). Typically, this vibration has a higher frequency, than the Type 1, and is independent of the tools in the upper BHA. The characteristics of this are determined by the contact points; thus, it is dominant in the curved section or where heterogeneities trigger microdoglegs. Finally, we will show that HFTO can develop when there is a steerable motor in the BHA, the Type 3 group. The torsional waves from the bit couple through the motor causing pressure perturbations; hence instabilities in the weight on bit. This new understanding of HFTO explains some of the anomalies in the performance of different mitigation strategies for HFTO. In particular, why HFTO is much more prominent in heterogeneous formations and while drilling a curved section.

Publisher

SPE

Reference10 articles.

1. Hohl, Andreas, MacFarlane, Danial, Selvaag Larsen, David. 2021. Utilizing Downhole Sampled High-Frequency Torsional Oscillation Measurements for Identifying Stringers and Minimizing Operational Invisible Lost Time ILT. Paper presented at the SPE Annual Technical Conference and Exhibition, Dubai, UAE, 21–23 September. SPE-205993-MS. https://doi.org/10.2118/205993-MS.

2. Hohl, Andreas, Tergeist, Mathias, Hatem Oueslati, Hatem. 2016. Prediction and Mitigation of Torsional Vibrations in Drilling Systems. Paper presented at the IADC/SPE Drilling Conference and Exhibition, Fort Worth, Texas, USA, 1–3 March. SPE-178874-MS. https://doi.org/10.2118/178874-MS.

3. Hohl, Andreas, Palata, Eric, and Arevalo, Pedro 2019. Real-Time System to Calculate the Maximum Load of High-Frequency Torsional Oscillations Independent of Sensor Positioning. Paper presented at the SPE/IADC International Drilling Conference and Exhibition, The Hague, The Netherlands. 5–7 March. SPE-194071-MS. https://doi.org/10.2118/194071-MS.

4. Hohl, Andreas, Kulke, Vincent, Kueck, Armin. 2020. Best Practices for Operations in HFTO Prone Applications. Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, Virtual, 17–19 November. SPE-202342-MS. https://doi.org/10.2118/202342-MS.

5. Pastusek, Paul E., Sullivan, Eric, and Harris, Thomas Mitchell 2007. Development and Utilization of a Bit Based Data Acquisition System in Hard Rock PDC Applications. Paper presented at the SPE/IADC Drilling Conference, Amsterdam, The Netherlands, 20–22 February. SPE-105017-MS. https://doi.org/10.2118/105017-MS.

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