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API MPMS CH 10.8, 3rd Edition: Standard Test Method for Sediment in Crude Oil by Membrane Filtration

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ISO/TR 42505:2026 Sharing economy — Shared manufacturing — Concepts and models

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ISO 4306-1:2026 Cranes — Vocabulary — Part 1: General

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API BULL 1178

API BULL 1178, 1st Edition: Integrity Data Management and Integration

CDN $224.00

Integrity Data Management and Integration

SKU: 2210142ca684 Category:

Description

Provides a compendium of methodologies and considerations for integrating the underlying data used to support integrity management. Any one approach may not be appropriate or applicable in all circumstances. The document reviews possible approaches for consideration by operators in the context of their specific circumstances. The primary focus of this bulletin is the methodologies and processes used to spatially integrate and normalize the data to support the application of comparative techniques used in interpreting integrity data, with particular emphasis on in-line inspection (ILI) data. The begins with a discussion of general data quality processes, goals, and considerations such that data quality approaches can be considered in the context of the data integration processes. An impediment to informed integrity decisions is the inability to efficiently review a broad spectrum of data in a format that has been normalized and spatially aligned. With the variations in organizational st

Edition

1

Published Date

2017-11-03

Status

Current

Pages

62

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

Provides a compendium of methodologies and considerations for integrating the underlying data used to support integrity management. Any one approach may not be appropriate or applicable in all circumstances. The document reviews possible approaches for consideration by operators in the context of their specific circumstances. The primary focus of this bulletin is the methodologies and processes used to spatially integrate and normalize the data to support the application of comparative techniques used in interpreting integrity data, with particular emphasis on in-line inspection (ILI) data. The begins with a discussion of general data quality processes, goals, and considerations such that data quality approaches can be considered in the context of the data integration processes. An impediment to informed integrity decisions is the inability to efficiently review a broad spectrum of data in a format that has been normalized and spatially aligned. With the variations in organizational st

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