Data Standards Opportunity Survey
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National Standardization Plan 2019-2022
FINAL APRIL 2020 NATIONAL STANDARDIZATION PLAN 2019-2022 Table of Contents 1 Introduction ............................................................................................................................................................. 2 2 Background ............................................................................................................................................................. 4 3 Methodology ............................................................................................................................................................ 4 3.1 Economic Priorities (Economic Impact Strategy) ................................................................................ 5 3.2 Government Policy Priorities ............................................................................................................ 12 3.3 Non-Economic Priorities (Social Impact Strategy) ............................................................................ 14 3.4 Stakeholders requests (Stakeholder Engagement Strategy) ............................................................. 15 3.5 Selected Sectors of Standardization and Expected Benefits ............................................................. 16 3.5.2 Benefits of Selected Sectors and Sub-Sectors of Standardization ................................................ 17 4 Needed Human and Financial Resources and Work Items Implementation Plan............................................ 19 4.1 Human Resources by Type of Work Item and Category ................................................................... -
Data Management Plan (First Version)
Open Sea Operating Experience to Reduce Wave Energy Costs Deliverable D8.5 Data Management Plan (first version) Lead Beneficiary TECNALIA Delivery date 2016-07-27 Dissemination level Public Status Approved Version 1.0 Keywords Open access, datasets, metadata, ZENODO This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654444 D8.5 Data Management Plan (first version) Disclaimer This Deliverable reflects only the author’s views and the Agency is not responsible for any use that may be made of the information contained therein Document Information Grant Agreement Number 654444 Project Acronym OPERA Work Package WP 8 Task(s) T8.2 Deliverable D8.5 Title Data Management Plan (first version) Author(s) Pablo Ruiz-Minguela (TECNALIA), Endika Aldaiturriaga (OCEANTEC) File Name OPERA_D8.5_Data management plan_TECNALIA_20160727_v1.0.docx Change Record Revision Date Description Reviewer 0.0 14-04-2016 Initial outline Pablo Ruiz-Minguela 0.5 21-06-2016 Full draft contents WP8 partners 0.9 15-07-2016 Version for peer review Sara Armstrong (UCC) 1.0 27-07-2016 Final deliverable to EC EC OPERA Deliverable, Grant Agreement No 654444 Page 2 | 30 D8.5 Data Management Plan (first version) EXECUTIVE SUMMARY This document, D8.5 Data Management Plan (DMP) is a deliverable of the OPERA project, which is funded by the European Union’s H2020 Programme under Grant Agreement #654444. OPERA’s main goal is to collect, analyse and share open sea operating data and experience to validate and de-risk four industrial innovations for wave energy opening the way to long term cost reduction of over 50%. -
Use Case: Ontology-Driven Information Integration and Delivery a Survey of Semantic Web Technology in the Oil and Gas Industry
> Semantic Web Use Cases and Case Studies Use Case: Ontology-Driven Information Integration and Delivery A Survey of Semantic Web Technology in the Oil and Gas Industry Frank Chum, Chevron Information Technology Company April 2007 Introduction The purpose of this paper is to survey some significant applications of Semantic Web technology in the oil and gas industry, and describe a use case on how the industry can leverage this technology. Key Business Drivers “There is a million miles of spaghetti eaten every day!” The same can be said about data in the oil and gas Industry. A large amount of data is generated every day from multiple sources such as seismic data, well data, drilling data, transportation data, and marketing data. Integrating these heterogeneous data to capitalize on their information value has been complex and costly. These data exist in a structured form in databases, and in semi-structured forms in spreadsheets and documents such as reports and multimedia collections. To deal with the flood of information, as well as the heterogeneous data formats of the data, we need a new approach for information search and access. For the major capital projects (see application examples below) in the industry, information needs to be standardized and integrated across systems, disciplines and organizational boundaries. This information integration will enable better decision making within collaborations, as high quality data will be accessible in a timely fashion. “Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and 1 community boundaries.” The Semantic Web technology provides a standard for machine-operational declarative specification of the meaning of terms based on the Resource Description Framework (RDF). -
AKSIO – Active Knowledge Management in the Petroleum Industry
AKSIO – Active knowledge management in the petroleum industry David Norheim 1, Roar Fjellheim 2 1UniK and Computas AS, Norway, [email protected] 2Computas AS, Norway, [email protected] Abstract . The AKSIO project is developing a process-enabled knowledge management system to support operations of offshore oilfields. The system will provide timely and contextual knowledge for work processes. Experiences will be processed and annotated by experts and linked to various resources and specialist knowledge networks. AKSIO will allow discovery of experiences through the support of a domain ontology. Core functionality of the AKSIO system is provided by careful application of Semantic Web technology, including ontology-based annotation and contextual ontology driven retrieval of content. 1 Introduction As the third largest exporter of crude oil (ca. 3 million barrels/day or 4% of the world’s oil production), the oil and gas industry is of major importance to Norway. The petroleum resources are located in the North Sea, a challenging environment for oil and gas production. Oil companies have deployed advanced technology to increase output and reduce cost. Increased output from the fields is possible due to new use of technology and methods e.g. injection of Natural Gas, Water and CO 2 in the oil wells. To various degrees all major operators and service companies in the North Sea are implementing the concept of Integrated Operations (IO). In IO, the offshore oil platforms are connected by high-speed data links to on-shore control centers, where multidisciplinary teams collaborate to optimize operations and rapidly solve any problems. The ultimate goal of IO is to maximize value created from petroleum resources, which can only be ensured by a continuous stream of right decisions made at the right time. -
ISO 15926, and the Data Handover Standard CFIHOS Based on It
Enabling step-change For managers: About the interoperability standard for process plants ISO 15926, and the data handover standard CFIHOS based on it. ISO 15926 & CFIHOS Onno Paap – https://www.linkedin.com/in/onnopaap/ March 2020 Purpose Interoperability using standards: For data integration ─ISO 15926 For data handover from Engineering contractor to Owner/Operator ─CFIHOS (Capital Facilities Information Handover Spec) Purpose: Decrease risk by higher data quality and save cost. 2 ISO 15926 – what is it? International standard, ISO TC184-SC4 WG3 (industrial data related to discrete products); Neutral layer used for data integration; Federation of databases – Semantic Web technology; Interoperability standard; Interoperability meaning: “the ability of different types of computers, networks, operating systems, and applications to work together effectively, without prior communication, in order to exchange information in a useful and meaningful manner”. 3 What is in ISO 15926? Reference data library (RDL) = A central online database http://data.posccaesar.org/rdl And also a work-in-progress database http://data.15926.org/rdl Data integration and interoperability methodology Open source software http://15926.tools 4 Why did we need ISO 15926? Shell said: We need a data model that can withstand the changes of the times. A process plant can be running for a period up to 50 years while software typically is changing every 2 years. BP said: A system of systems must interoperate through major projects and operations Reference data is critical, but does not deliver interoperability alone Standard connectors are required to deliver interoperability Commercially available ‘interoperability’ solutions depend on fragile, expensive and proprietary integration 5 What is the scope of ISO 15926? ISO 15926 is targeted for data on process plants. -
Work Plan for 2007
POSC Caesar Work Plan for 2007 POSC Caesar Telephone: Telefax E-mail c/o Det Norske Veritas +47 67 57 73 73 +47 67 80 59 40 [email protected] N-1322 HØVIK NORWAY 17 - 1 POSC Caesar Work Plan for 2007 Contents 1 SUMMARY......................................................................................................................................................... 3 2 ADMINISTRATION.......................................................................................................................................... 5 1.1 HOUSING AND ADMINISTRATIVE FUNCTIONS ............................................................................................... 5 1.2 NEW VERSION OF THE REFERENCE DATA SYSTEM....................................................................................... 5 1.3 WEB SITE ..................................................................................................................................................... 5 1.4 EXISTING AND NEW MEMBERS .................................................................................................................... 6 1.5 COLLABORATIONS ....................................................................................................................................... 6 1.6 SPECIAL INTEREST GROUPS ......................................................................................................................... 6 1.7 MANAGERIAL /TECHNICAL COURSES, CONFERENCE / SEMINARS, MEMBERSHIP MEETING ......................... 7 2 ISO 15926 ........................................................................................................................................................... -
Architecture for OIIE & OGI Pilot
Standardising Standards-based Interoperability: The Architecture of the OIIE and OGI Pilot Matt Selway and Markus Stumptner (Co-CTO MIMOSA) University of South Australia June 4, 2019 NIST Open Industrial Digital Ecosystem Summit AI and Software Engineering Group • About 20 people • AI + Software Engineering + Data Management • Major topics • Modelling and reasoning about system behaviour • Diagnostics, Configuration, Automated Debugging, Natural Language • Information and knowledge management in distributed ecosystems Projects in the Ecosystem Space • OT/IT Interoperability • Digital Information Energy Australia Gateway • OGI Pilot - OIIE • Genetic Data Curation • SOA for Future Combat Systems • Automated Modelling for Combat Simulation Ecosystems • Integrated Law Enforcement – Federated Data Platform AFP What is the OIIE? ▪ Open Industrial Interoperability Ecosystem ▪ Framework and architecture for defining and describing standardised and standards-based ways for how systems should interoperate ▪ Aims to support Digitalization, Supplier-neutral, and enable COTS & Open Source Plug ‘n Play Interoperability ▪ Refinement of concepts MIMOSA has been developing for ~15 years ▪ Includes several components: ➢Use Case Architecture ➢Connectivity and Services Architecture ➢Data and Message Models ➢Specifications for systems supporting Ecosystem Administration, e.g: • ws-ISBM, SDAIR, CIR, Services Registry © MIMOSA 2019 Supplier Neutral Industrial Digital Ecosystem Digital Ecosystem Concept Specialized For Process Industries Com- ponents EPC Supplier -
Establishing and Proving Interoperability Welcome and Introduction
Establishing and Proving Interoperability Welcome and Introduction Joint PCA and MIMOSA Meeting San Antonio, 25 March 2013 Nils Sandsmark Agenda y 08:00 AM Welcome and Introduction y 08:30 AM JORD – Creating the iRING core y 10:00 AM Break y 10:30 AM OGI Pilot – Proving Standard Based Interoperability y 12:00 AM Lunch and open discussion y 12:30 AM Meeting Close POSC Caesar Association (PCA) • PCA is a global, not-for-profit, The vision of ISO 15926 independent member organization data interoperability and life cycle developing, enhancing, and promoting methodology, content and solutions for data interoperability with special focus on ISO 15926 / iRING and W3C recommendations • PCA has 35 members in 12 countries on 5 continents • PCA arranges forums and member meetings every year in: Focus areas have evolved so far: • Asia/Australia 1. Handover EPC - OO (1993+) • Europe/Africa 2. Integrated operations (2004+) 3. Operations & maintenance (2008+) America • 4. Integration between engineering and O & M (2010+) • PCA was established in 1997 iRING Reference data architecture n ISO io Change t a iz Requests d r a d Reference / n a t Synchronize S Change PCA Requests Reference / Synchronize Company Feed Back Capital Project and Operations & Maintenance Standards Leadership Council ‐ Members Organization Senior Executive Comments Energistics Jerry Hubbard MIMOSA Alan T. Johnston The Open Geospatial Consortium (OGC) Mark Reichardt International Association of Oil & Gas Producers Observer (OGP) OPC Foundation Thomas Burke PIDX International Anthony Aiming The Pipeline Open Data Standard Association Janet Sinclair (PODS) POSC Caesar Association Nils Sandsmark Professional Petroleum Data Management Trudy Curtis Association (PPDM) Troika International Jill Lewis W3C Frank Chum (Chevron) Observer Standards Leadership Council (SLC) For the upstream Oil & Gas Industry Objectives: • Identify areas of intersection to avoid creating duplicate or conflicting standards • Identify opportunities for synergy, so we can build on our successes together. -
Iso 14224:2006(E)
INTERNATIONAL ISO STANDARD 14224 Second edition 2006-12-15 Petroleum, petrochemical and natural gas industries — Collection and exchange of reliability and maintenance data for equipment Industries du pétrole, de la pétrochimie et du gaz naturel — Recueil et échange de données de fiabilité et de maintenance des équipements Reference number ISO 14224:2006(E) © ISO 2006 ISO 14224:2006(E) PDF disclaimer This PDF file may contain embedded typefaces. In accordance with Adobe's licensing policy, this file may be printed or viewed but shall not be edited unless the typefaces which are embedded are licensed to and installed on the computer performing the editing. In downloading this file, parties accept therein the responsibility of not infringing Adobe's licensing policy. The ISO Central Secretariat accepts no liability in this area. Adobe is a trademark of Adobe Systems Incorporated. Details of the software products used to create this PDF file can be found in the General Info relative to the file; the PDF-creation parameters were optimized for printing. Every care has been taken to ensure that the file is suitable for use by ISO member bodies. In the unlikely event that a problem relating to it is found, please inform the Central Secretariat at the address given below. © ISO 2006 All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from either ISO at the address below or ISO's member body in the country of the requester. -
API Tutorial for SAP Asset Intelligence Network Company
PUBLIC Document Version: 2105 – 2021-07-12 API Tutorial for SAP Asset Intelligence Network company. All rights reserved. All rights company. affiliate THE BEST RUN 2021 SAP SE or an SAP SE or an SAP SAP 2021 © Content 1 Introduction................................................................4 2 Announcements.............................................................7 2.1 Additional Information......................................................... 8 3 Company Profile............................................................12 4 Composite API.............................................................14 5 Mass API................................................................. 28 6 Documents................................................................32 6.1 Additional Information........................................................ 35 7 Equipment................................................................ 41 7.1 Creating a Baseline...........................................................46 7.2 View all the Baselines Created for an Equipment...................................... 47 7.3 Editing a Baseline Description................................................... 47 7.4 View a Specific Baseline....................................................... 48 7.5 Retrieve Header Infomation for a Baselined Equipment................................. 49 7.6 View Components Information...................................................49 7.7 View Template Information.....................................................50 -
Information Standards for Use in the Oil and Gas Industry
IOGP information standard poster Information Standards for use in the oil and gas industry The Digitalization and Information Standards Subcommittee (DISC) are supporting the following list of standards: ISO 19128 Geographic information – Web map server interface ISO 22745 Industrial automation systems and integration – Open technical dictionaries and their application to master data ISO 8601 Date and time format IEC 62541 OPC unified architecture ISO 80000 Quantities and units IEC 62769 Field Device Integration (FDI) ISO 639 Language codes IEC 62832 Industrial-process measurement, control and automation – ISO 3166 Country codes Digital factory framework ISO 4217 Currency codes IEC 63280 Automation engineering of modular systems in the process industry (MTP) ISO 55000 Asset management IEC 63131 System control diagram ISO 14224 Petroleum, petrochemical and natural gas industries – collection and IEC 61131 Programmable controllers exchange of reliability and maintenance data for equipment IEC 61499 Function blocks ISO 15926 Industrial automation systems and integration – Integration of life- cycle data for process plants including oil and gas production facilities IEC 62714 Engineering data exchange format for use in industrial automation systems engineering – Automation Markup Language ISO 19008 Standard cost coding system for oil and gas production and processing facilities IEC 62443 Industrial communication networks – Network and system security ISO 18101 Automation systems and integration – Oil and gas interoperability IEC 62890 Industrial-process measurement, control and automation – Life-cycle-management for systems and components IEC 61360 Standard data element types with associated classification scheme IEC 62264 Enterprise Control System Integration IEC 61987 Industrial-process measurement and control – Data structures and elements in process equipment catalogues IEC 61512 Batch Control www.iogp.org IEC 62683 Low-voltage switchgear and control gear – Product data and properties for information exchange. -
Thumbs Package Example
Information and Communication Technologies for Integrated Operations of Ships Liping Mu Information and Communication Technologies for Integrated Operations of Ships A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Philosophiae Doctor (PhD) in Information and Communication Technology University of Agder Faculty of Engineering and Science 2013 iii Doctoral Dissertation by the University of Agder 74 ISBN: 978-82-7117-753-9 ISSN: 1504-9272 Copyright c by Liping Mu, 2013 All rights reserved unless otherwise stated. Printed by the Printing Office, University of Agder Kristiansand iv To my parents v vi Preface and Acknowledgments This dissertation is a result of the research work carried out at the Department of Information and Communication Technology (ICT), University of Agder (UiA) in Grimstad, Norway, from April 2009 to October 2012. This work is part of the project entitled “Maritime Communications - broadband at sea (MarCom)”. The MarCom project is a joint initiative from several research and development insti- tutions, universities and colleges, public authorities and industry. The project is funded by the industry itself, and the Norwegian Research Council. First of all, I want to express my sincere thanks to my principal supervisor, Pro- fessor Andreas Prinz. His valuable guidance, suggestions and continuous support helped me from the very beginning till the completion of this work. I believe that the lessons I learned from working together with him will always guide me forward in the future. I also must say thanks a lot to my co-supervisor, Professor Frank Re- ichert. Without his encouragement and supervision, I could not have developed an overview understanding of this subject and mapped it into the thesis.