SYSTEMATIC FIELD VALIDATION OF NEW CASING WEAR QUANTIFICATION PROCESS


Casing wear predictions are necessary for a fit-for-purpose, cost efficient casing design. In order to achieve a reliable casing wear prediction from simulations, three objectives have to be met: (1) Accurate modelling of mechanical work, (2) accurate derivation of casing wear from mechanical work and (3) accurate wear factor calibration through MFCL (Multi Finger Caliper Log) interpretation.

The paper presents a theoretical description of all three steps and their application on a representative field case, highlighting recent improvements and reducing uncertainties at each step with a focus on a newly developed MFCL interpretation methodology. To accurately derive the mechanical work an advanced stiff-string model(3) is used to simulate the history of side forces foreach rotating operation, of each BHA, which was in contact with the casing.

Accurate surveys and small calculation increments are vital. Operation parameters must be data mined with great care. To properly calibrate wear factors, a reliable and robust MFCL log interpretation must be conducted. Wear is commonly measured by comparing the results of a MFCL to a base MFCL, which ideally was taken at the beginning of the section. In the standard process, the maximum measured diameters per joint of both MFCLs are compared.

A more accurate single run-MFCL interpretation methodology will be presented, which relies on statistical analysis of the casing shape. It was found that the standard MFCL interpretation methodology may be the weak link in the chain. The standard methodology led to significant exaggeration of the wear factor(s), especially if the calibration was done based on mild levels of wear. Casing wear prediction remains a complex issue, due to uncertainties concerning wear and friction factor.

The new MFCL calibration methodology, including a robust stiff-string torque and drag model, is capable of significantly reducing the levels of uncertainty. Overall, the complete methodology is the basis for accurate wear prediction and reduces the need of casing over-engineering. Want to know more about us? Then visit us here: https://www.helmerichpayne.com/resources/technical-publications/systematic-field-validation-of-new-casing-wear-quantification-process or access our technical paper from here: https://www.helmerichpayne.com/media/technical-publications/Systematic-Field-Validation-of-New-Casing-Wear-Quantification-Process.pdf. Contact us to know more: https://www.helmerichpayne.com/contact.

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