Encyrex

Advancing Petroleum Engineering Through Research

Research & Publications

At Encyrex Limited, research is the foundation of innovation.

Our work focuses on applying Machine Learning and advanced computational methods to improve reservoir understanding, production optimization, and engineering decision-making in the oil and gas industry.

We are committed to developing practical, field-ready solutions supported by rigorous scientific research.

Featured Research

Machine Learning For Reservoir Characterization

Application of Random Forest and Support Vector Regression in Permeability and Porosity Prediction in Sandstone Reservoirs

Presented at the SPE Nigeria Annual Conference · 2025

Research Focus

  • Predictive reservoir modeling
  • Permeability estimation
  • Porosity prediction
  • Sandstone reservoir analysis
  • Machine learning integration

Impact

This research demonstrates how advanced Machine Learning algorithms can significantly improve reservoir characterization accuracy while reducing interpretation uncertainty.

Flowing Bottom Hole Pressure Prediction Using Machine Learning

Improving Prediction Accuracy of Flowing Bottom Hole Pressure Using Machine Learning Algorithms

Presented at the SPE Nigeria Annual Conference · 2025

Research Focus

  • FBHP prediction
  • Production engineering analytics
  • Surface-to-downhole parameter modeling
  • AI-driven production monitoring

Impact

The study explored predictive models capable of estimating bottom hole pressure with extremely high accuracy using surface measurable production parameters.

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Practical Research For Real Oilfield Challenges

Our approach combines:

  • Engineering science
  • Machine learning
  • Field data analysis
  • Industry-focused innovation
  • Practical implementation

We believe research should not remain theoretical — it should improve operational performance in real production environments.

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We welcome collaboration opportunities with:

  • · E&P companies
  • · Universities
  • · Research institutions
  • · Petroleum service companies
  • · Government agencies
  • · Energy innovation programs

Areas Of Collaboration

  • Reservoir analytics
  • Production optimization
  • AI model development
  • Petroleum data science
  • Joint technical research
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