Oil and Gas

The upstream industry finds and produces crude oil and natural gas. The downstream industry includes oil refineries, petrochemical plants, petroleum products distributors, retail outlets and natural gas distribution companies.

Industry Challenge

Many Oil and Gas companies within the upstream industry are building cloud-based applications or seeking to otherwise digitize their operations. The reason is obvious -, digital twins, big-data analytics, machine learning and AI can help revolutionize the way we do business.

However, many companies are at the same time neglecting to build the on-premise infrastructure needed to effectively and robustly connect applications with real-time data from sensors and production assets, while application providers need a proven solution for collecting, storing, mathematical modelling and visualization of time-series data.

Solutions – What we do:

Connectivity and logging

The Apis platform is a High-performance Historian and IMS solution that is used both by operator companies to log data from SAS/SCADA systems or other sources, and by application providers to add high-performance logging to their applications.

Connectivity is done though a wide-range of protocols such as OPC, OPC UA, Modbus, WITS0 and WITSML.

Information modelling and IOT gateway

The Apis platform can act as a IOT Gateway with the ability to implement several different information models simultaneously via OPC UA Semantic modelling. This provides a standardized and unified way of accessing operational data from different assets via enterprise systems – not only standardized on protocol, but also standardized on data semantics. This can be especially challenging in brown-field installations where both non-standard protocols and unplanned- or non-standard semantics can be present.

The OPC Foundation also releases OPC UA Companion standards – publicly available information models. These allows gateway owners to standardize on information models that are publicly available, also to the companies creating cloud-based applications. This in turn enables scenarios where engineering is no longer needed when connecting new applications to asset data.

Real-time mathematical modelling

Apis can be used as a real-time mathematical modelling tool. The Apis Modframe module includes models for Low-pass filters, Kalman filters, Fast Fourier Transforms, first-principle based process models, PID controllers, Model-based Predictive Control (MPC) and much more. Apis Modframe is easy to integrate into existing applications.

Download white paper

This whitepaper describes an OPC UA Gateway or Industrial Internet of Things (IIoT) platform based on Prediktor’s Apis real-time platform.

Related use case

Equinor

The overall objective of the delivery is to provide a standardized and unified way of accessing operational data from different assets via enterprise systems - not only standardized on protocol, but also standardized on data semantics. This can be challenging, especially in brown-field installations where both non-standard protocols and unplanned- or non-standard semantics can be present.