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API SPEC 14L: Lock Mandrels and Landing Nipples : Reaffirmed

$

273

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API SPEC 20F: Corrosion Resistant Bolting for Use in the Petroleum and Natural Gas Industries : Reaffirmed

$

169

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API TR 5NCL Nickel Content Limits for API 5CT Sour Service Products

$

149

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API SPEC 19ICD: Inflow Control Devices : Reaffirmed

$

189

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API MPMS CH 23.2: Reconciliation of Liquid Tank Car(s) Quantities : Reaffirmed

$

218

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API SPEC 16A: Specification for Drill-through Equipment

$

322

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API RP 13B-2: Field Testing Oil-based Drilling Fluids wA1

$

388

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API BULL 1178

API BULL 1178: Integrity Data Management and Integration

CDN $202.01

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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