Solution Seeker, an AI-powered technology company supporting digitalisation in real-time for oil and gas production and beyond, presents their digitalisation approach called 'Scalable Tailoring'.
Scalable Tailoring includes every part of the workflow from data mining and AI technologies to client-specific applications, including all internal work processes, tools and guidelines required. To illustrate the scalable tailoring approach, two user cases are presented.
The first is an inorganic scaling monitoring app, which monitors the deposition rate of inorganic scaling in different sites for each well according to real-time pressure and temperatures.
The second is the chemical injection application, which monitors and indicates the injection of several chemicals and calculates the optimal injection for each chemical subject to different constraints and operational status.
Frida Konow, Data Scientist, Solution Seeker AS
Frida is a data scientist at Solution Seeker with a MSc in Chemical Engineering from NTNU in Norway. Her specialisation is within optimisation and control.
Danielle Monteiro, Data Scientist, Solution Seeker AS
Danielle is a data scientist at Solution Seeker. She is a Petroleum Engineer and is currently a PhD candidate in Operations Research at UFRJ, specialising in petroleum production optimization problems.
The material presented in this webinar has not been peer-reviewed. Any opinions are the presenters' own and do not necessarily represent those of IChemE or the Oil and Natural Gas Special Interest Group. The information is given in good faith but without any liability on the part of IChemE.
The meeting will be delivered at the Meeting Room Shared Success, PETRONAS Tower 3, Level 16, Persiaran Petronas, Kuala Lumpur City Centre, 50088 Kuala Lumpur, Malaysia, with the online part being delivered by Microsoft Teams.
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