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Advanced Inspection
Applications- NII as replacement of IVI
- Pressure Vessels
- Pipelines
- Pipework
- Structures
- Subsea
- Heat Exchangers and Tubing
- Turbines
- Data Science
- Equipment integrity and reliability
- Robotic Tank Inspection
- Internal Inspection of Caissons
Statistical analysis for sampling inspections
There is a growing interest from the Oil and Gas industry in the application of statistical analysis methods in the integrity management of assets. A major area of application is statistical analysis in the planning and evaluation of inspections carried on out equipment where there is potential for in-service degradation. This area is of growing relevance as operators seek to more effectively manage the risks associated with in-service degradation and developments in inspection technology make available more quantitative information. Statistical analysis allows an improved understanding of asset condition, taking into consideration the capability and limitations of the inspection methods, and this leads to improved decision making. There are substantial benefits to operators with respect to risk management and business performance.
A major area of application of statistical analysis is in the planning and evaluation of sampling inspections where coverage is less than 100%. The aim of sampling inspections is to obtain sufficient information to allow reliable estimates for the regions not inspected. Statistical analysis is fundamental to sampling approaches, in providing the basis for estimates for the uninspected area and also in assessing the reliability of the estimates.
Sonomatic has extensive experience in the development and practical application of statistical analysis in support of sampling inspections, this covering both inspection planning and evaluation. This experience includes working with many of the major Oil and Gas companies internationally in developing inspection plans and analysing the results of sampling inspections.
Sonomatic’s activities in this area are underpinned by a strong knowledge of the links between inspection performance and the analysis. We provide in-depth expertise covering inspection technology, inspection performance (accuracy and detection capability) and statistical methods.
