AI and Scientific Computing for Oil & Gas

We've applied AI, optimization, and scientific programming to real-world challenges in oil & gas — from forecasting economics and process automation to leak detection and localization.

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AI and Scientific Computing for Oil & Gas

We've applied AI, optimization, and scientific programming to real-world challenges in oil & gas — from forecasting economics from optimizing refinery operations to forecasting drilling economics and automating financial workflows. Our models are built to perform in data-constrained, high-stakes environments.

Maximizing Production While Reducing Costs

Predictive Maintenance of Critical Infrastructure

Capital Planning & Financial Modeling

Improving Forecasting and Hedging Strategies

Reducing Environmental Impact and Emissions

  • From Chaos to Clarity: Using Generative AI to Organize the World’s Data

    From Chaos to Clarity: Using Generative AI to Organize the World’s Data

    Generative AI is reshaping the way we structure and understand information. This paper highlights how large language models can streamline data classification across industries, using intuitive natural-language prompts to drive efficiency and insight. Covering key techniques like prompt engineering and fine-tuning, along with a high-impact energy sector case study, it illustrates how AI can surface previously inaccessible context—achieving over 95% classification accuracy in one deployment

    Download the Case Study

Why Industry Leaders Choose Peak Values

  • Deep Industry Knowledge

    50+ projects in upstream, midstream, and downstream O&G

  • Domain-Aware AI Solutions

    Custom-built ML and simulation models for physical and financial systems

  • Operational Integration

    From SCADA and sensor data to ERP and field team tools

  • Proven Results

    Documented savings, efficiency gains, and downtime reductions

Ready to Modernize Your Oil & Gas Operations?

Contact us for a free consultation or download our whitepaper on AI in Oil & Gas.

Download the White Paper