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What is Automatic Depth Estimation?


ADE is a function within DeviGyro that enables continuous estimation of the hole trajectory when not using the DeviCounter. By limiting the use of the DeviCounter, drilling teams benefit from the following:

  • Faster setup

  • Less manual handling

  • Increase productivity

  • Reduce carry cases required at the rig

  • Reduce charging requirements

  • Reduce DeviCounter maintenance and potential downtime

  • Extended operating life of DeviCounter

When using ADE the depth is estimated from the instrument's on-board sensors. ADE requires that the user provides information about the starting depth and the ending depth, and then ADE estimates the continuous depths in between. Intermediate stops at specified depths are also supported.

DG ADE-1

 

How should ADE be used?



ADE works best when using rotating/helix running gear and is recommended only for short to medium range holes up to 500m where multiple surveys are required as the hole progress (e.g. every 30m).


When using ADE, DHS recommends using it for all but the last EOH survey, where the DeviCounter should be used for a final continuous In/Out run.


In general, ADE gives less accurate depth estimation than when utilising the DeviCounter, therefore it is not recommended as a complete replacement.

Viewing ADE surveys in DeviCloud


ADE surveys identify in DeviCloud as stationary surveys:

When viewing a QA Report in DeviCloud, the Survey Details tab will also indicate when ADE has been used.

ADE surveys can be plotted and viewed as per normal DeviGyro surveys in graph and table options

 

 

ADE Quality Assurance


 

When using ADE, DeviGyro survey quality is still determined by EOH standard deviation (misclose).



Depth Estimate Quality indicates how well the depth estimation functionality has performed and whether it can be trusted as reliable. Depth Estimate Quality is found at the bottom of the QA cover page, when viewing QA survey reports.

Depth Estimate Quality Parameters:     

Excellent = At least one of the estimates are considered good and reliable

 

Good = At least one of the estimates are considered OK, and somewhat reliable

 

Not to be trusted = Both depth estimates are considered poor. Possible reasons for this include:

o   Inclination data may not be good due to poor centralisation

o   Wireline speed is jerky

o   Poor rotation