Functional approximation and optimal specification of the mechanical risk index

Area of Science:

• Engineering
• Geosciences
• Risk Management

Background:

• The mechanical risk index (MRI) is a key metric for assessing well drilling complexity.
• Understanding the factors and assumptions within the MRI is crucial for accurate risk evaluation.

Purpose of the Study:

• To analyze the component factors, structural, and parametric assumptions of the mechanical risk index (MRI).
• To derive functional expressions for the MRI using a meta-modeling approach.
• To introduce a drilling risk index for quantifying time and cost uncertainties.

Main Methods:

• Meta-modeling methodology applied to derive functional expressions of the MRI.
• Empirical determination of variation between MRI measure and its functional specification.
• Development of a general methodology for optimal MRI specification.

Main Results:

• The MRI can be effectively approximated by a linear functional.
• The functional specification provides a good approximation for the MRI within a reasonable design space.
• A new drilling risk index is introduced to quantify temporal and financial uncertainties in well drilling.

Conclusions:

• The linear functional approximation offers a simplified yet accurate representation of the MRI.
• The proposed methodology can lead to an optimized MRI specification for improved drilling risk management.
• Accurate MRI specification is vital for mitigating uncertainties in well drilling projects.