IDMS integrity database management system best practice
we will continue the previous article about IDMS integrity database management system best practice. Previously we talk about design code, inspection method involved and trending. now will focus on Risk Based Inspection feature.
IDMS integrity database management system best practice : upload Risk Based Inspection assessment
One of Asset integrity Engineer job is conduct Risk based inspection for all fixed equipment. Risk Based Inspection assessment involve many job functions such as Asset Integrity engineer, Inspection specialist / API inspector, Corrosion engineer, operation folk and also IDMS Specialist. there are 3 type RBI methods i.e qualitative assessment, quantitative assessment and semi-quantitative assessment.
In qualitative assessment, the SME (Subject Matter Expert) make a score of Pof (probability of failure) based on their expertise. They can say a carbon-dioxide pipeline is higher corrosive than a “high purity” crude oil pipeline. They do not need to see or review corrosion rate & inspection results on those pipelines. In quantitative assessment, a RBI team require a set of data and justification to make PoF score. Usually RBI team require inspection result data, corrosion rate data, fluid properties, operation condition and pipeline material properties. In semi-quantitative assessment, a RBI team make a set of parameter and weighting factor to be used in PoF scoring.
Risk Based Inspection feature in IDMS Integrity Database Management System.
each IDMS has different approach on RBI functionality. A IDMS software may use qualitative method, quantitative method or semi-quantitative method. Before we buy a IDMS software, we must understand the RBI feature and its method so we can use it in daily RBI assessment.
usually, in a RBI team conduct an assessment for a set of equipment. for example an RBI team conduct assessment for 2,450 pipeline segments in an oil field.
we registered all 2,450 pipeline segment to IDMS. Then we recorded RBI result for each pipeline segment. at the end, we will have 2,450 RBI record for all segment. To make it simple, usually, we make a group of pipe line which have same risk ranking, same service fluid and same NPS.
|No.||Service fluid||Pipeline diameter (NPS)||quantity||Probability of failure||Consequence of failure||Risk Ranking|
based on above example, for 500 crude oil pipeline segment, we only made 10 RBI records instead of 500 records.