2018
DOI: 10.1016/j.petrol.2018.07.008
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Experimental analysis of stick-slip in drilling dynamics in a laboratory test-rig

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Cited by 27 publications
(10 citation statements)
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References 21 publications
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“…Lines et al 114 conducted laboratory tests to gain insight into the downhole data and characterize the stick-slip vibration of the rotary steerable system. Based on a simple test-rig for analyzing drilling dynsmic, Real et al 115 explained the stick-slip cycles. As can be seen from the works related to laboratory tests of stick-slip vibration, there are differences among the test rigs.…”
Section: Laboratory Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Lines et al 114 conducted laboratory tests to gain insight into the downhole data and characterize the stick-slip vibration of the rotary steerable system. Based on a simple test-rig for analyzing drilling dynsmic, Real et al 115 explained the stick-slip cycles. As can be seen from the works related to laboratory tests of stick-slip vibration, there are differences among the test rigs.…”
Section: Laboratory Studiesmentioning
confidence: 99%
“…Based on a simple test-rig for analyzing drilling dynsmic, Real et al. 115 explained the stick–slip cycles. As can be seen from the works related to laboratory tests of stick–slip vibration, there are differences among the test rigs.…”
Section: Experimental Investigationsmentioning
confidence: 99%
“…In test rigs [20] and in field operation [27], we observe the consequences of the nonlinear bit-rock interaction, which couples axial (bit axial speed and weight on bit) and torsional vibrations (bit rotational speed and torque on bit). For instance, there is a hysteretic cycle due to this coupling [13,18], which can be modeled and applied to a pure torsional model [21], where axial vibration is not taken into account.…”
Section: Axial-torsional Nonlinear Coupled Modelmentioning
confidence: 99%
“…For analysis over any dynamical system, calibration is fundamental. The correct assessment of parameter values is necessary to judge the capacity of a model in simulating phenomena under realistic measures; it is, in fact, a first step in a validation process concerning its properties and feasibility of its predictions (Pereira et al, 2018;Real et al, 2018). It is also a prerequisite in many uncertainty quantification techniques, where sensitivity analysis and the incorporation of variabilities may be developed over the best combination of inputs that reproduce a desired system response (Cunha Jr, 2015;Real et al, 2019).…”
Section: Introductionmentioning
confidence: 99%