Reliability-Based Assessment of Tubular Collapse Integrity Under Subsurface Pressure Uncertainty for Energy Transition Wells

Abstract Collapse integrity of steel casing is increasingly important in geothermal, CO₂-storage, hydrogen-storage, and repurposed hydrocarbon wells, where uncertain pressure histories can challenge deterministic design margins. This study presents a revised reliability-based framework for tubular collapse using the classical four-regime API collapse formulation and Monte Carlo simulation. A 7-in, 26-lb/ft P110 casing with nominal wall thickness 0.362 inches is used as a transparent benchmark. Manufacturing variability in outside diameter, wall thickness, and yield strength is represented by Gaussian statistics reported from ISO/API manufacturing data, while external pressure is treated as an explicit scenario variable rather than as a field-calibrated distribution. For the baseline case with mean external pressure 4,500 psi and coefficient of variation (COV) 10%, 10⁶ Monte Carlo realizations produced a failure probability P_f = 1.088×10⁻³, reliability index β = 3.065, and 95% Wilson confidence interval of 1.025×10⁻³–1.155×10⁻³. The mean collapse resistance was 6,439 psi and the mean safety margin was 1,938 psi. Approximately 82.1% of realizations were governed by plastic collapse and 17.9% by transition collapse. Repeated simulations and a convergence study show that the previously used 1,000–7,000 realizations are insufficient for stable estimation of failure probabilities near 10⁻³. Pressure-uncertainty scenarios further show that increasing external-pressure COV from 5% to 20% increases P_f by more than three orders of magnitude. Rank-based sensitivity identifies wall thickness as the dominant resistance-side variable and external pressure as the dominant loading-side variable. The framework provides a reproducible probabilistic screening method while explicitly distinguishing the present static benchmark from future time-dependent integrity models required for cyclic thermal, chemical, and pressure conditions in energy-transition wells.

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Publication Details

Journal
Engineering Research Express
Published
2026-11-04
DOI
https://doi.org/10.1088/2631-8695/aebd7d
Primary Topic
Structural Integrity and Reliability Analysis
Type
article
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article

Reliability-Based Assessment of Tubular Collapse Integrity Under Subsurface Pressure Uncertainty for Energy Transition Wells

Bashir Busahmin, Nurdinna Safudin Safudin
Engineering Research Express
Structural Integrity and Reliability Analysis
article

Reliability-Based Assessment of Tubular Collapse Integrity Under Subsurface Pressure Uncertainty for Energy Transition Wells

Bashir Busahmin, Nurdinna Safudin Safudin
article en

Abstract

Abstract Collapse integrity of steel casing is increasingly important in geothermal, CO₂-storage, hydrogen-storage, and repurposed hydrocarbon wells, where uncertain pressure histories can challenge deterministic design margins. This study presents a revised reliability-based framework for tubular collapse using the classical four-regime API collapse formulation and Monte Carlo simulation. A 7-in, 26-lb/ft P110 casing with nominal wall thickness 0.362 inches is used as a transparent benchmark. Manufacturing variability in outside diameter, wall thickness, and yield strength is represented by Gaussian statistics reported from ISO/API manufacturing data, while external pressure is treated as an explicit scenario variable rather than as a field-calibrated distribution. For the baseline case with mean external pressure 4,500 psi and coefficient of variation (COV) 10%, 10⁶ Monte Carlo realizations produced a failure probability P_f = 1.088×10⁻³, reliability index β = 3.065, and 95% Wilson confidence interval of 1.025×10⁻³–1.155×10⁻³. The mean collapse resistance was 6,439 psi and the mean safety margin was 1,938 psi. Approximately 82.1% of realizations were governed by plastic collapse and 17.9% by transition collapse. Repeated simulations and a convergence study show that the previously used 1,000–7,000 realizations are insufficient for stable estimation of failure probabilities near 10⁻³. Pressure-uncertainty scenarios further show that increasing external-pressure COV from 5% to 20% increases P_f by more than three orders of magnitude. Rank-based sensitivity identifies wall thickness as the dominant resistance-side variable and external pressure as the dominant loading-side variable. The framework provides a reproducible probabilistic screening method while explicitly distinguishing the present static benchmark from future time-dependent integrity models required for cyclic thermal, chemical, and pressure conditions in energy-transition wells.

Engineering Research Express
Universiti Teknologi Brunei (BN)
Openalex Percentile: Top 24%
Structural Integrity and Reliability Analysis
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