Reservoir and production optimization  

The energy sector is confronting significant challenges as resource demand continues to rise, while traditional reservoir production methods are struggling to keep up. Aging infrastructure, inefficiencies, and the need for more accurate data are putting increased pressure on production systems. Today, optimization has become the priority – extracting more from existing wells rather than drilling new ones – driving the need for non-intrusive, low-footprint technologies. In the oil and gas industry, effective reservoir engineering and management play a crucial role in enhancing recovery rates and maximizing the ultimate yield from deep underground reservoirs.

To meet these challenges, we are moving beyond traditional approaches and delivering new level of performance in reservoir and production optimization.

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Real-time data meets AI power

Combining petroleum engineering expertise with real-time multiphase well data and AI-based modeling, Rosenxt delivers measurable production and recovery impact – fast. 

At the core is a continuously updated understanding of your reservoir and production system, built directly from real field data. 

Non-intrusive, clamp-on multiphase flow sensors provide high-quality, continuous data – forming a robust data foundation for our AI-powered, top-down modeling to generate reliable insights and forecasts. 

By continuously feeding live data into the models, we establish a closed optimization loop that reduces uncertainty and enables faster, better-informed decisions – so operators can act quickly and with confidence.
 

Your Benefits

Reduce reservoir uncertainty with real-time insights
Make informed decisions in days
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Increase production through validated optimization actions
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Maximize recovery and long-term asset performance

Optimization as a Service 

Our approach is designed as an outcome-based service model. 

Rosenxt aligns directly with your production performance – delivering measurable results without upfront CAPEX or additional operational burden. Instead of investing in tools or software, you benefit from continuous optimization and proven impact. 

Fast insights are translated into actionable operational levers such as:

  • Artificial lift optimization
  • Choke setting optimization
  • Injection strategies and optimization
  • Infill well locations planning and production forecasting
  • Reopening of inactive wells 

The result: faster production response, improved operational efficiency, and sustained recovery gains.

From Data to Continuous Optimization

Rosenxt integrates real-time data, AI-based modeling, and production optimization into one continuous optimization loop.

 

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Requirements Assessment, Data Conditioning, and Baseline Calculation

We start by assessing current operations to identify project requirements and improvement areas such as efficiency, cost, and compliance, then define measurable goals – like boosting production by 10% or cutting costs by 15%. All existing data are collected, validated, and prepared to build a solid foundation for optimization.

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AI-based Modeling & Forecasting Scenarios

Our AI-powered, top-down reservoir modeling uses all available historical production, surface data and all reservoir data for time efficient history matching, creating reliable insights and trustable forecasting scenarios. This enables operators to evaluate field performance, test options, and define strategies – faster and more fact-based than traditional methods.

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Results Validation & Continuous Optimization

Operators access all insights continuously through our dashboard, where reservoir and wells behavior is visualized in real time. Continuous data streams refine and validate the AI reservoir models, improving reliability even further enabling ongoing optimization to maximize recovery and efficiency.

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A unique approach to fast, measurable recovery impact

Rosenxt differentiates through the seamless integration of real-time data and AI-based subsurface intelligence. This ensures that decisions are always based on current field conditions - not outdated assumptions. 

Rely on: 

  • Very fast deployment for actionable insights - reservoir models built in weeks
  • Continuous multiphase flow data across the full field
  • Rapid data conditioning and intelligent historical data patching
  • Fast dynamic, continuously evolving reservoir modeling built on an AI-based geo-analytical model
  • Top-down modeling combining surface and subsurface data for fact-based decisions
  • Automated history matching and reliable forecasting validated through blind testing
  • Operational scenarios via an operator portal

Get in contact with us!

Carsten Heinks

Head of Upstream Optimization

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