Solution Seeker creates decision-support tools for optimizing petroleum output. Their decision support tool makes use of AI's predictive capabilities to continuously update its estimation and prediction models, allowing a continuous search with its patented optimization algorithm and capturing and calculating the uncertainties through the AIpipeline from raw data, estimates, to predictions, allowing petroleum companies to take advantage of the model's upside potential while managing downside risk with their tracking and stop-loss function.

AI/ML

Solution Seeker

Vidar Gunnerud

Sofie Lia

Rafael Bernardelli

Mathilde Wekre

Kristoffer Nesland

Frida Bjørnstad Konow

Danielle Monteiro

Christine Foss Sjulstad

Anine Ahlsand

Vidar Uglane

Stine Ursin-Holm

Vegard Ystenæs

Bjørn-Erik Dale

Bjarne Grimstad

The Data Science Team at Solution Seeker focuses on developing and refining advanced algorithms that power the company’s decision-support tools. Utilizing AI and machine learning techniques, the team analyzes large datasets to enhance predictive accuracy, optimize petroleum output, and manage risks. By continuously updating models and integrating data through the AIpipeline, they ensure clients receive actionable insights to drive informed decisions in the dynamic petroleum industry.

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