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API STD 521: Guide for Pressure-relieving and Depressuring Systems – Edition 6

$

682

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API STD 653: Tank Inspection, Repair, Alteration, and Reconstruction – Edition 4

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507

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CSA Z662:19 – Oil and gas pipeline systems

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1197

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CSA Z341 Series-18: Storage of hydrocarbons in underground formations

$

878

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CSA Z246.2-14 – Emergency preparedness and response for petroleum and natural gas industry systems

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596

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CSA Z341 Series:22 – Storage of hydrocarbons in underground formations

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878

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CSA Z731-09 (R2014) – Emergency Preparedness and Response

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177

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CSA Z662:23 – Oil and gas pipeline systems

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1197

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CSA Z341 Series:26 – Storage of Hydrocarbons in underground formations

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CSA B51:24 Boiler, Pressure Vessel, and Pressure Piping Code

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ISO 24591:2024

ISO 24591:2024 Smart water management – Part 2: Data management guidelines

CDN $124.00

Description

This document provides a general foundation for data management in services, systems and facilities related to drinking water, wastewater and stormwater. It emphasizes data as an asset and introduces basic rules for efficient data acquisition, storage and processing. It aims to help water system owners and operators manage water facilities more efficiently based on large-scale data.

The following aspects are within the scope of this document:

     management of data as an asset in water systems;

     data management principles and guidelines;

     people organization in relation to data management.

Edition

1

Published Date

2024-04-29

Status

PUBLISHED

Pages

12

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

This document provides a general foundation for data management in services, systems and facilities related to drinking water, wastewater and stormwater. It emphasizes data as an asset and introduces basic rules for efficient data acquisition, storage and processing. It aims to help water system owners and operators manage water facilities more efficiently based on large-scale data.

The following aspects are within the scope of this document:

-     management of data as an asset in water systems;

-     data management principles and guidelines;

-     people organization in relation to data management.

Previous Editions

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