DNV GL has produced a recommended practice on quality assurance of digital twins in oil and gas. The RP was developed in collaboration with TechnipFMC. DNVGL-RP-A204 helps assess whether a digital twin will deliver on stakeholders’ expectations, establishes confidence in the twin’s data and computational models and determines an organization’s readiness to ‘work with and evolve alongside a digital twin’. The approach was piloted on 10 projects with companies including Aker BP, Kongsberg Digital and NOV Offshore Cranes. The RP is claimed to ‘provide clarity on the definition of a digital twin’. Clarity in this context would indeed be useful in a domain where there is a case to be made for the term ‘digital twin’ being marketing speak for a simulator. To learn more, you will have to pay-up as the RP is part of a subscription-based portfolio of nearly 80 different standards and RP’s for oil and gas. More from DNV GL.
Energistics has publishes the final release candidate of the Energistics Transfer Protocol v1.2 for review and comment. ETP v1.2 adds new and improved capabilities for real-time data streaming, with a comprehensive set of messages to support the reliable, two-way flow of data between applications for oil and gas development and operations workflows. Interested parties can download the release candidate schemas and specification to test and comment on the standard before its formal release. The three-month review period ends February 15, 2021. Petrotechnical Data Systems is providing an updated .NET devkit for ETP v1.2. More from Energistics. Energistics (formerly POSC) is celebrating its 30th anniversary with the offer of a Covid-19 special membership price cut of 30% for 2021.
The EU’s Interoperability Solutions unit ISA^2 has unveiled an online CSV* validation service. Validation is driven by means of Table Schema, a popular specification for tabular data, allowing a flexible configuration for the validation of CSV content. The CSV validation guide is the latest in a suite of guides for setting up validation services for a variety of protocols including RDF, JSON and XML. A step-by-step guide to the process is also available.
* Comma separated values – a simple Excel output format.
The Industrial Internet Consortium has published a technical report defining a framework for distributed edge computing. Those rushing headlong to the cloud will be interested to learn that ‘moving computing from the cloud to the edge’ (i.e. in the opposite direction) ‘increases the performance, trustworthiness, and efficiency of industrial IoT applications’. Distributed computing at the edge provides system architects and implementers with a distributed computing framework that ‘moves the capabilities of data center-based cloud computing closer to intelligent IoT devices at the edge’.
A recent blog published by Opto 22 promises ‘everything you need to know about getting started with MQTT’. MQTT is an open source publish-subscribe communications protocol that is now ‘the most commonly used IoT-specific communications protocol’. Together with the Sparkplug B specification, MQTT ‘can form the backbone of industrial IoT infrastructure’.
A ‘novel, standards-based technique’ from the Open Geospatial Consortium* is claimed to simplify access to earth observation (satellite) data. An ‘application-to-the-data’ principle has simplified app development for cloud-deployment. A new architecture, developed with Docker and web services, allows software developers to package and share applications on any cloud platform. More from OGC.
* Assisted by the European Space Agency and Natural Resources Canada
PPDM’s ‘International Petroleum Data Standards’ initiative has kicked off a Reference Values List work group to develop an initial set of lists for evaluation by membership. PPDM has also published a What is a Facility, feasibility study. More from PPDM.
The Open Group and the IOGP have signed a memorandum of understanding to ‘foster oil and gas industry collaboration for the development of common standards’. A key focus area for the new collaboration is OSDU, the Open Subsurface Data Universe. The MoU covers terminology, models, and systems for describing and managing spatial referencing of geospatial data.
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