7 - Data and Information Collection for RBI Assessment Flashcards

1
Q

The ,,,,,,,, of the data should be consistent with the RBI method used.

A

precision

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2
Q

It may be advantageous to combine ,,,,,, data gathering

with other ,,,,,, data gathering (see 5.7) as much of the data may be the same

A

risk analysis

risk/hazard analysis

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3
Q

RBI Data Needs:
For each RBI approach it is important ,,,,,, all bases for the study and assumptions from the onset and to apply a consistent rationale.

A

to document

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4
Q

RBI Data Needs:

Documentation of ,,,,,, equipment and piping identifiers is a good starting point for any level of study

A

unique

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5
Q

Data Needs for Qualitative RBI :

It is important to establish a set of rules to assure consistency in ,,,,,, or ,,,,

A

categorization or classification

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6
Q

Data Needs for Qualitative RBI :

it is important to have ,,,,, perform the qualitative RBI analysis

A

qualified persons

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7
Q

Data Needs for Quantitative RBI:
Quantitative RBI uses ,,,,, depicting combinations of events that could result in severe accidents and ,,,,,, depicting the progression of accidents and the ,,,,, to the environment

A

logic models
physical models
transport of a hazardous material

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8
Q

Data Needs for Quantitative RBI:

The models are evaluated ,,,,, to provide both qualitative and quantitative insights about the level of risk

A

probabilistically

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9
Q

Data Needs for Quantitative RBI:

,,,,,,information and data are needed for a fully quantitative RBI in order to provide input for the models.

A

more detailed

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10
Q

Data Needs for Semi-quantitative RBI:
The semi-quantitative analysis typically requires the same type of data as a ,,,,,, analysis, but generally not as detailed

A

quantitative

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11
Q

Data Needs for Semi-quantitative RBI:
Although the precision of the analysis may be less, however, that does not mean that the analysis will be
,,,,,

A

less accurate

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12
Q

Data Quality :

The data quality has a direct relation to the ,,,,, of the RBI analysis

A

relative accuracy

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13
Q

Data Quality :

Data inputs and assumptions shall be validated by qualified personnel such as ,,,,, to review operating parameters used

A

process engineer / operator

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14
Q

Data Quality :

if baseline inspections were not performed or documented, ,,,, may be used for the original thickness

A

nominal thickness

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15
Q
Data Quality :
This assumption (nominal thickness) can significantly impact the ,,,,, early in the equipment life.
A

calculated corrosion rate

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16
Q

Data Quality :

The ,,,,, error may result in the calculated corrosion rate appearing artificially high or low

A

measurement

17
Q

Data Quality :
validation step stresses the need for ,,,,, comparing data from the inspections to the expected damage mechanism and rates.

A

a qualified person

18
Q

Data Quality :

,,,,,, may be useful in this review

A

Statistics

19
Q

Codes and Standards:
The selection and type of codes
and standards used by a facility can have a ,,,,impact on RBI results.

A

significant

20
Q

Sources of Site-specific Data and Information:

Information for RBI can be found in many places within ,,,

A

a facility.

21
Q

Sources of Site-specific Data and Information:
It may be advantageous to combine ,,,,, data gathering with other ,,,,, data gathering [e.g. PHA, RCM, quantitative risk assessment (QRA)] as much of the data overlaps.

A

RBI data

risk/hazard analysis