GOOML is a software package that allows geothermal operators to run myriad scenarios simulating changes to their operations (e.g. shut planning, strategy development, and optimisation), improving the efficiency and electricity output of geothermal steam fields.
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Geothermal fields, with their bespoke arrangements of machinery and unique systems, are too complex for simple algebra, for measuring every operational parameter in every location, or for quick operational decisions.
GOOML offers more efficient and accurate data processing methods allow operators to better manage their steam-field operations and improve overall performance.
Benefits include:
GOOML is a geothermal operations optimisation framework based on machine learning and components modelling, under constraints informed by physics. This means it is both computationally clever and true to real life.
The framework was developed using real-world operations, with data from geothermal steam fields of various types and configurations, to develop digital twins (i.e. digital model or representation of a real-life physical product, system or process). Digital twins allow operators to run countless ‘what if’ scenarios stimulating changes to their operations entirely in the digital realm, without having to experiment using a ‘live’ operation.
Read more about GOOML R&D results here (search “gooml” to filter results)
