Dark Data Regulator Maintenance

Completed

Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas)

Applied Research and Development

ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering)

Not Cross-cutting

Project Contact
SGN

Network Innovation Allowance

Ofgem

01 October 2019

01 January 2020

ENA months

£65,317

Energy

South East

Network Innovation Allowance

Project Contact, SGN

This project aims to carry out an in-depth analysis of real time telemetry on SGN above 7 bar assets, helping to understand and predict asset failures, feeding our telemetry strategy for the future. The findings from this project will inform our telemetry strategy and will give SGN visibility of occurring asset failures and the factors that cause them. This will allow us to capture the net benefits of data collection with the risks and costs associated with their installation and operation. The project output will be a report including background data, findings and recommendations going forward. The aim of this project is to explore the potential for using data to drive maintenance activities. This data analysis will create actionable insights to help SGN determine the types of interventions and most value adding activities.This will involve collection of different datasets for example SGN asset pressure data, asset maintenance log, and weather data. This will give an understand if our existing data collection process is valuable in predicting failure, managing gas flow and whether the amount of data collected should be reduced. The objectives of this project are to: Workshop meeting to discuss datasets and problem hypothesis. Initial review of datasets. Complete review of datasets. Produce report consolidating all information, actionable insights and recommendations.

This project looks to assess historical asset data and determine whether it can be used to predict future failures, helping to prove or disprove maintenance hypothesis.

08/11/22