Next Generation Torsional Vibration Isolation Tool Increases BHA Reliability Proven by Field Operations in North Sea

2021 ◽  
Author(s):  
Armin Kueck ◽  
Vincent Kulke ◽  
Cord Schepelmann ◽  
Volker Peters ◽  
Georg-Peter Ostermeyer ◽  
...  

Abstract High Frequency Torsional Oscillations (HFTO) generate high torsional loads in the BHA causing cracks, damaged electronics or twist-offs. A new Torsional Vibration Isolator tool (TVI) protects the BHA by restricting vibrations to the tools between bit and TVI. Additional features have been added to the tool to automatically indicate torque overloading of the BHA and to increase torque resistance if required. This paper proves the functionality of the new features analytically, on a small-scale laboratory test and in multiple field deployments in the North Sea. New guidelines for field operations are provided. The new feature is a torsion limiter which automatically engages on reaching a critical torque threshold. The torque is then re-routed through more torque resistant BHA components. The engagement generates a characteristic signal indicating bit or BHA-overloading. The mechanical design of the new feature is presented. A criterion for engagement of the limiter and the signature indicating critical torque are analytically derived. They are experimentally validated on a scaled version of the TVI in a laboratory test. A prototype of the new tool is manufactured and deployed in multiple field operations in the North Sea previously heavily affected by HFTO. Two high-frequency measuring devices identify critical drilling situations on a scale of Milliseconds. A new guideline for utilization of this tool is developed including recommendations for BHA set-up and operational parameters. The TVI works as intended and protects the upper BHA from torsional loads generated by HFTO. The new feature engages at the predicted contact parameters. The signature indicating critical torque for the BHA was recorded and corresponds to the signature measured in the lab and predicted by the model. The TVI is best placed as close to the bit as possible, and a high-frequency measuring device in the BHA is recommended to record and transmit the contact indicators to surface. Based on field tests a parameter map for drilling torque and RPM is created that displays zones of safe operational parameters in a plain manner for field engineers. The map was validated in the field, and harmful drilling states were prevented by following the recommended drilling parameters. The next generation TVI protects BHAs from damage due to torsional vibrations. The new feature enables operations in stuck-pipe situations by increasing the torque when required. The overloading indicator prevents overstepping the torque limit of the bit and the BHA. The new parameter map and best-practice recommendations transport the learnings to the field in an easy-to-use manner.

2015 ◽  
Vol 12 (13) ◽  
pp. 4051-4066 ◽  
Author(s):  
M. Thyssen ◽  
S. Alvain ◽  
A. Lefèbvre ◽  
D. Dessailly ◽  
M. Rijkeboer ◽  
...  

Abstract. Phytoplankton observation in the ocean can be a challenge in oceanography. Accurate estimations of its biomass and dynamics will help to understand ocean ecosystems and refine global climate models. Relevant data sets of phytoplankton defined at a functional level and on a sub-meso- and daily scale are thus required. In order to achieve this, an automated, high-frequency, dedicated scanning flow cytometer (SFC, Cytobuoy b.v., the Netherlands) has been developed to cover the entire size range of phytoplankton cells whilst simultaneously taking pictures of the largest of them. This cytometer was directly connected to the water inlet of a PocketFerryBox during a cruise in the North Sea, 08–12 May 2011 (DYMAPHY project, INTERREG IV A "2 Seas"), in order to identify the phytoplankton community structure of near surface waters (6 m) with a high spatial resolution basis (2.2 ± 1.8 km). Ten groups of cells, distinguished on the basis of their optical pulse shapes, were described (abundance, size estimate, red fluorescence per unit volume). Abundances varied depending on the hydrological status of the traversed waters, reflecting different stages of the North Sea blooming period. Comparisons between several techniques analysing chlorophyll a and the scanning flow cytometer, using the integrated red fluorescence emitted by each counted cell, showed significant correlations. For the first time, the community structure observed from the automated flow cytometry data set was compared with PHYSAT reflectance anomalies over a daily scale. The number of matchups observed between the SFC automated high-frequency in situ sampling and remote sensing was found to be more than 2 times better than when using traditional water sampling strategies. Significant differences in the phytoplankton community structure within the 2 days for which matchups were available suggest that it is possible to label PHYSAT anomalies using automated flow cytometry to resolve not only dominant groups but also community structure.


Geophysics ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. N51-N60 ◽  
Author(s):  
Sayyid Suhail Ahmad ◽  
R. James Brown ◽  
Alejandro Escalona ◽  
Børge O. Rosland

Our aim was to identify some of the characteristics of low-frequency anomalies. Specifically, we have looked, in 3D broadband data from the North Sea, for any offset dependence in these anomalies and any frequency-related change in normal moveout (NMO) velocity that could influence stacking power over different frequencies. After high-resolution spectral decomposition, two types of low-frequency anomaly have been identified associated with hydrocarbon-bearing reservoirs: (1) at the reservoir top and (2) below the reservoir, with a time delay of approximately 100–200 ms. Both types of anomalies indicate offset dependence. On the near-offset stacks, they are relatively strong, but they tend to be absent on the far-offset stacks. In addition, horizon velocity analysis, which was performed along the horizons picked at the tops of reservoir and nonreservoir intervals, has revealed frequency-dependent NMO velocity. For nonreservoir events, we found no significant difference between the NMO velocities for the low-frequency and high-frequency filtered common-midpoint gathers. However, along the anomalously low-frequency events observed at the tops of, and below, oil-bearing reservoirs, lower velocity is observed for low-frequency and higher velocity for high-frequency filtered gathers. If these properties turn out to be universally typical, increased understanding and inclusion of them could lead to improved workflows and help increase the reliability of low-frequency analysis as a hydrocarbon indicator.


2014 ◽  
Vol 11 (11) ◽  
pp. 15621-15662
Author(s):  
M. Thyssen ◽  
S. Alvain ◽  
A. Lefèbvre ◽  
D. Dessailly ◽  
M. Rijkeboer ◽  
...  

Abstract. Phytoplankton observation in the ocean can be a challenge in oceanography. Accurate estimations of their biomass and dynamics will help to understand ocean ecosystems and refine global climate models. This requires relevant datasets of phytoplankton at a functional level and on a daily and sub meso scale. In order to achieve this, an automated, high frequency, dedicated scanning flow cytometer (SFC, Cytobuoy, NL), has been developed to cover the entire size range of phytoplankton cells whilst simultaneously taking pictures of the largest of them. This cytometer was directly connected to the water inlet of a~pocket Ferry Box during a cruise in the North Sea, 8–12 May 2011 (DYMAPHY project, INTERREG IV A "2 Seas"), in order to identify the phytoplankton community structure of near surface waters (6 m) with a high resolution spacial basis (2.2 ± 1.8 km). Ten groups of cells, distinguished on the basis of their optical pulse shapes, were described (abundance, size estimate, red fluorescence per unit volume). Abundances varied depending on the hydrological status of the traversed waters, reflecting different stages of the North Sea blooming period. Comparisons between several techniques analyzing chlorophyll a and the scanning flow cytometer, using the integrated red fluorescence emitted by each counted cell, showed significant correlations. The community structure observed from the automated flow cytometry was compared with the PHYSAT reflectance anomalies over a daily scale. The number of matchups observed between the SFC automated high frequency in situ sampling and the remote sensing was found to be two to three times better than when using traditional water sampling strategies. Significant differences in the phytoplankton community structure within the two days for which matchups were available, suggest that it is possible to label PHYSAT anomalies not only with dominant groups, but at the level of the community structure.


2011 ◽  
Vol 18 (1) ◽  
pp. 106-117 ◽  
Author(s):  
Marcos Llope ◽  
Priscilla Licandro ◽  
Kung-Sik Chan ◽  
Nils Chr. Stenseth

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