Feasibility study for Advanced Real-time Production Optimisation (ARPO) of Integrated Oil & Gas Production Facilities
Lead Participant:
SIEMENS PROCESS SYSTEMS ENGINEERING LIMITED
Abstract
Maximising the exploitation of the UK Continental Shelf’s (UKCS’s) remaining oil & gas reserves is critical to UK
tax revenues, security of energy supply, balance of payments and competiveness of manufacturing industries.
This feasibility study proposal is for pre-commercial development of an Advanced Real-time Production
Optimisation (ARPO) tool to enable UKCS Oil & Gas operating companies to optimise production in integrated
oil & gas production assets in real time in order to maximise revenue and increase extraction efficiency. It uses
well-to-facilities mathematical models of the production system combined with operational data within a
rigorous mathematical optimisation framework to determine, for example, which wells to deploy, optimal gas
lift flowrates for each operating well and other operational settings. The unique technology addresses well-
known deficiencies of currently-deployed tools, draws on extensive existing PSE technology and experience,
transfers and adapts well-established existing technology and expertise from other sectors, and involves
engagement of key stakeholders to develop requirements and validate the pre-commercial development.
tax revenues, security of energy supply, balance of payments and competiveness of manufacturing industries.
This feasibility study proposal is for pre-commercial development of an Advanced Real-time Production
Optimisation (ARPO) tool to enable UKCS Oil & Gas operating companies to optimise production in integrated
oil & gas production assets in real time in order to maximise revenue and increase extraction efficiency. It uses
well-to-facilities mathematical models of the production system combined with operational data within a
rigorous mathematical optimisation framework to determine, for example, which wells to deploy, optimal gas
lift flowrates for each operating well and other operational settings. The unique technology addresses well-
known deficiencies of currently-deployed tools, draws on extensive existing PSE technology and experience,
transfers and adapts well-established existing technology and expertise from other sectors, and involves
engagement of key stakeholders to develop requirements and validate the pre-commercial development.
Lead Participant | Project Cost | Grant Offer |
---|---|---|
SIEMENS PROCESS SYSTEMS ENGINEERING LIMITED | £149,879 | £ 104,916 |
People |
ORCID iD |
Mark Matzopoulos (Project Manager) |