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The APPEA Journal The APPEA Journal Society
Journal of Australian Energy Producers
RESEARCH ARTICLE (Non peer reviewed)

Simplicity and digitalisation – using GIS to reduce design and operation costs in gas gathering systems

Alex Meynink A *
+ Author Affiliations
- Author Affiliations

A Advisian, Brisbane, Qld, Australia.

* Correspondence to: alex.meynink@advisian.com

The APPEA Journal 62 S153-S157 https://doi.org/10.1071/AJ21058
Accepted: 31 March 2022   Published: 13 May 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of APPEA.

Abstract

With the drive to continually reduce the cost of connecting new Coal Seam Gas (CSG) wells, Worley developed new methodologies using commercial off-the-shelf software, and custom development, to automate engineering and improve operational efficiency for pipelines and gathering systems. One of the recent developments is an automated and data-driven approach to produce Gathering Network Diagrams (GNDs), an alternative to conventional Piping & Instrumentation Diagrams (P&IDs). On a recent project, Worley implemented a GND workflow capable of showing ~40 wells per A3 deliverable in conformance with intelligent drafting standards. This reduced ~2000 as-built P&IDs to ~200 GNDs (and associated standard details) with a significant improvement in quality and usability. Prior to generation, a site walkdown was conducted to address mismatches between as-built P&IDs, Geographic Information System (GIS) and what was actually installed at site. Our client now has a suite of GNDs that match the installed asset and are produced from the corporate GIS database, essentially their Digital Twin. Worley then focused on integrating flow assurance software with GIS allowing data-driven execution of future design packages to be incorporated into the master GNDs. We successfully integrated with PipeSIM and GAP, allowing for seamless transfer of hydraulic inputs from GIS to the modelling software. Engineers can now synchronise the confirmed process design back to GIS without producing red-lined and/or CAD-drafted deliverables which greatly improves efficiency and reduces human error. This paper demonstrates how digital automation can be applied to the CSG industry to significantly reduce cost and schedule whilst enabling data-driven operational efficiencies.

Keywords: as-built, automation, coal seam gas, coal seam methane, design, digital twin, engineering, gathering network diagrams, gathering systems, geographic information systems, GIS, onshore pipelines, P&ID, piping & instrumentation diagram, spatial data science, transformation.

Alex Meynink has a diverse background including 10 years in operational and consulting roles associated with commercial forestry domain prior to joining Worley’s Onshore Pipeline team in 2012 to produce onshore pipeline engineering deliverables using Geographic Information System (GIS). He is a graduate of Southern Cross University’s Bachelor of Applied Science (Forestry) and Master of Business Administration programs and has successfully led the capital raising and execution of technology projects which make automated engineering solutions available to Worley’s global business. He is the product owner of OmniSightTM which is a collection of applications supporting all phases of an onshore pipeline project lifecycle. His current role is ANZ Geomatics & Data Management Lead, responsible for Worley/Advisian’s GIS and data management professionals supporting projects throughout the Asia-Pacific region. He has developed deep understanding of Engineering workflows associated with onshore pipeline systems and developed specialised teams in Australia and India who develop applications targeted at transitioning traditional engineering workflows to more automated and digital alternatives.


References

EnergyEdge (2022) Gas Market Analysis Tool – Well Development Map. 29 March. Available at https://gmat.com.au/Analysis/WellDevelopmentMap

Fitch Solutions Group Limited (2022) ‘Australia Oil & Gas Report – Q1 2022.’ (Fitch Solutions Group Limited: London)

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