Eigen Analytics Platform
Architecture and technical overview
The Eigen Analytics Platform is a new way to access and integrate your data and systems to drive new insights, accelerate efficiency and add value.
Engineers love it because it enables them to innovate, experiment and automate without recourse to software developers or logging into servers they don’t fully understand.
But it represents a new way of working for some organisations with increased autonomy for engineers and operational teams.
The Eigen Analytics Platform is a layer that sits above an operator’s existing data and systems.
It leverages knowledge graph technology to connect and integrate disparate data with context to build new digital solutions to drive safety, efficiency and productivity.
With the EAP, operators can avoid moving or copying data, lowering the risk of duplication and inaccuracy, and increasing the speed of delivery of new solutions.
Today’s operators employ data from multiple sources, including external third parties. The EAP has been designed and proven to connect to a wide a range of data sources, including process data historian, relational databases, maintenance systems and excel files, using standard APIs and data connectors.
List of ready to use connectors with common functional systems:
ABB, AspenTech IP21, Aveva Workmate, Cognite CDF, Collabor8, CSV imports, DNV Synergi, Dreamfactory, ElasticSearch, Emails, Eurolandir, Heliport, Honeywell Alarms & Events, Honeywell Dynamo, Influx DB, IQX, Metoffice, Neo4j, OSI PI, Peloton WellView, ProArc, Quandl, RigHour, SAP XML, Tieto DaWinci, yr.no
The EAP can interface with a broad range of data and systems, from the basic Excel to more sophisticated python for machine learning.
Access, architecture and security
How can the EAP be accessed?
There are five ways to access the EAP giving maximum flexibility and choice to operators, with no lock-in to a particular solution or platform:
1
Eigen Ingenuity
100% user-configurable layer for analytics visualisation.
2
Eigen Ingenuity and Eigen Search mobile apps
Configurable templates and mobile access to reports, events and alerts.
3
Low-Code Applications
Developed in Python accessing the Eigen Analytics Platform via the Python library.
4
Custom Applications
Call the Eigen Analytics Platform via open APIs to access common analytics, contextualisation, and data access functions.
5
Excel Plug-Ins
Use the engineers’ favourite to extract data and manipulate in Excel.
A Python library is available for engineers and IT specialists to develop their own workflows, giving them real control to help them do their job better. In addition, the EAP can initiate Microsoft Power Automate workflows via Eigen’s Office365 Event connector.
One of the primary benefits of using the EAP is its flexibility and interoperability. Cloud native, the EAP has been designed and built to be deployed on your existing cloud infrastructure and connect to your existing data sources.
Your data remains where it is, and the EAP can co-exist with other functional applications.
We will engage with your IT department, to meet and exceed your information and cyber security standards, to ensure IT approval, and so engineers can begin using the platform within weeks, if not days.
The EAP leverages existing investments in IT and data, rather than building new. As a layer above current data and systems, the EAP enables new company-wide insights and understanding by breaking down functional or discipline silos and connecting up the organisation virtually, with much higher application of data context.
Can it fit with our existing IT infrastructure and architecture?
How about control and security?
EAP represents a shift in mindset empowering engineers to build fit for purpose tools to perform calculations, conduct analysis and build automated reports.
Knowledge graph technology points to data in underlying systems, bringing context and meaning without requiring migration or duplication which can be problematic with data lakes.
The EAP is installed in your private cloud environment (Azure or AWS) and is accessed and can be customised via a web browser for desktop and mobile users.
“As Eigen’s Chief Information Security Officer, I fully appreciate the risks faced by oil and gas operators using complex data and systems; that’s why we’ve designed the EAP to meet a high bar for cyber security, keeping your systems safe from attack, in compliance with your own information security requirements. We also continually pen-test and harden our code and resolve for any new vulnerabilities as part of our ISO 27001 compliant continuous improvement programme.”
Joel Chacon, Chief Information Security Officer, Eigen
As part of our service, we can also remotely monitor your EAP instance for performance and cybersecurity threats and act upon issues even before the end user is aware.
Eigen is ISO 27001 certified, and all our operations are governed by secure business practices. All our connections to customer infrastructure are subject to the operator’s own IT and information security protocols and approvals.
6.6% improvement in Efficiency through quick access to information
Challenge
Finding the necessary information to do a task was time consuming because the information is spread across multiple systems, such as a master Equipment Database, Document Management System, data Historian, Maintenance Management System etc.
Solution
By creating a data model that links (or contextualises) the information for an asset in Neo4j and combing it with a powerful search tool such as Elastic, users are able to use free text or more specific searches to find the information they need.
Impact
Using the combination of Search and the Data Model, users are able to find and work with information much faster. On average it is estimated as saving 30mins per user per day, or 1/16th of the working hours in the day – 6.6%.
Improvement in efficiency through quick access to information
Saved per week
Automated Blowdown Verification
Challenge
Manual analysis of the depressurisation of >fifty different sections of piping and equipment in a facility after plant shutdown to a senior engineer a week of effort. It involved going into multiple systems to find the right data and manually importing it into spreadsheets.
Solution
Using our Ingenuity platform, we extended the existing data model of the facility with new objects for the blowdown segments and associated equipment and connected this to the systems holding the source data, adding dashboards for visualisation.
Impact
Now blowdown analysis runs automatically after any plant shutdowns, saving a week of a senior engineer’s time and providing improved management information.
Number of weeks of a senior engineer’s time by automating the verification of blowdown events
Infinite possibilities thanks to graph database technology
Challenge
Coming up with a data model (schema) that is fit for every future use case is impossible. The rigid structures of relational databases make it difficult to change the schema later on so it becomes hard to move quickly to digitise operations. Lengthy business analysis phases are then followed by lengthy contextualisation processes were the data in ingested into a data lake before the user functionality can be delivered.
Solution
Graph databases such as Neo4j work completely differently and allow information to be linked together just like a person would draw things on a white board. New information and relationships can be continuously added without affecting what has gone before.
Impact
The data model at the heart of Eigen Ingenuity allows infinite possibilities for linking and modelling data and information. Structures can be imported from spreadsheets and the model can be evolved over time allowing you to take a step-by-step approach to building your Digital Twin.
What do you need to get going?
There are some minimal requirements to enable rapid deployment of the EAP; these are managed in line with the operator’s IT and information security protocols and approvals:
1
A resource group in the customer’s private cloud (Azure or Amazon Web Services).
2
100 GB minimum storage.
3
Admin level access granted to Eigen’s staff.
3
Secure access to customer data sources from the assigned resource group.
Can I try it?
Engineers and IT managers can access trial licences of the EAP to understand its power and application. Typically, we begin with a short discovery workshop to identify an acute pain point and together use the EAP to co-create solutions using the data an operator holds.
Speak to Joel Chacon about accessing a trial licence of EAP.
Book a demo
Like to find out more? Book a time below to talk to one of our engineers.
Clients
Over the past fifteen years, we have worked with many of the major oil and gas operators. We are trusted as engineering experts who deploy digital technologies to create value.
With this cloud-based platform our engineers can continue to work remotely, and it makes it easy to keep everyone in the company informed."
