Welcome to
RTDIP

Real Time Data Ingestion Platform

Easy access to high volume, historical and real time process data for analytics applications, engineers, and data scientists wherever they are.

Real Time Data Ingestion Platform (RTDIP, formerly popular as SSIP) is the solution of choice leveraging PaaS (Platform as a Service) services along with some custom components to provide Data Ingestion, Data Transformation, and Data Sharing as a platform. RTDIP can interface with several data sources to ingest many data types which include time series, alarms video, photos and lab data. Metadata by different sources like PI, OPC UA, and API's is used making it a true Real-Time Data Platform.

The data can be shared via Shell approved architecture patterns and services the data needs of applications like Digital Twin, C3.ai, SeeQ, and business-specific solutions by providing data as streaming or query-based batch transfer. Highly Scalable and Securethe data is ringfenced with approved security controls making it an ideal repository for SOV (Shell Operated Venture), NOV (Non-Operated Venture), JV (Joint Venture) as well as Third Party Data. The technology stack in RTDIP is a standard offering that helps onboarding and deployment of any new asset data sources with agility and quick turnaround.

RTDIP Enables the business to consume Real-Time Data at scale, both historical and real streaming.

Why RTDIP ?

By introducing automation into Shell operations worldwide, we can unlock new opportunities to improve safety and business value, ensuring Shell’s continued competitiveness in our industry’s race to digitalize.

Real Time Data Ingestion Platform (RTDIP) enables the business to consume Real-Time Data at scale, both historical and real streaming.

RTDIP allows businesses to drive both safety and save cost by unlocking the value contained in asset’s operational data, to support use cases like Predictive Maintenance, improved product quality, and faster production of products.

Predicting failure using Artificial Intelligence (AI) and Machine Learning (ML) models and visualizing historical trends and Real-Time Data in Applications like a Digital Twin.

For example, the Tag Data provided by RTDIP is the lifeline of C3.ai. Building new ML capabilities for C3.ai, which is powering the Predictive Asset Maintenance program. The easily accessible Real-Time Data will be used by Data Scientists, Data Engineers, and software developers in Shell to develop, build and deploy advanced AI and ML capabilities.

Value & Outcome

  • Easy access to high volume, historical and real time process data for analytics applications, engineers, and data scientists wherever they are.
  • RTDIP will be the system of record for all PI data and assets data (e.g. alarms, events, IRMS and IAMS).
  • Enables the data for key digital applications such as C3.ai, Digital Twin, AIF Gen 2, T-Pulse.
  • More than $20m production acceleration through SDO onboarding (CIO Award)

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