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Analysis
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Job Planning Utility (beta version)

Select a string then enter the depths of your key objectives (e.g. plugs to be drilled) in the table. These will then be indicated on the fatigue chart, and potential high fatigue zones can be identified and perhaps avoided by cutting pipe prior to the job. Disclaimer: this feature is for proof-of-concept only, any fatigue projections are approximate.

There is inherent uncertainty about where fatigue may get applied on a string, due to unknown factors such as pipe cut at the wellsite, depth control errors, and the exact position of downhole features. Use the depth tolerance feature to apply the hypothetical fatigue across a zone of interest and see if it might coincide with an existing high fatigue region.

Estimate the pump (CP) and wellhead (WHP) pressures.

Cycles are the number of short (less than 30ft/10m) pipe reciprocations anticipated to achieve the objective.
An optimistic scenario might assume just one cycle, a pessimistic scenario may involve ten cycles or more.
When drilling plugs, one cycle is perfect, three is typical, seven or more is bad.

To delete an objective, leave the depth field empty.

Modeling is performed by Aradia Consulting based on input data provided by the customer, who is entirely responsible for the accuracy of that data. In situations where input data is unavailable or incomplete, the customer grants Aradia Consulting discretion to make common-sense assumptions in order to progress the modeling to the next stage. While every effort is made to ensure that modeling is done in accordance with the methods and procedures provided by the Cerberus modeling software, Aradia Consulting does not guarantee the accuracy of results or recommendations delivered under this service, and is not liable for any actions or consequences arising from the customer's interpretation or use of these results or recommendations in subsequent operations. The customer recognizes that CT fatigue modeling is an imprecise science, and that fatigue failures may occur in the field which are not anticipated by the software.