Reservoir analytics & Optimization using Python and Machine Learning Last Updated: 2 months ago Mentor: Edvantage Learning
Reservoir analytics & Optimization using Python and Machine Learning
₹14000/ $200 ₹15500/ $225
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Course Overview:
Embark on a transformative journey into the cutting-edge realm of Reservoir Analytics and Machine Learning tailored specifically for the Oil & Gas industry. Explore Machine Learning for PVT analysis and reservoir monitoring. Predict waterflood performance and optimize patterns with advanced methodologies. This comprehensive course offers an in-depth exploration of Python applications in Reservoir Analytics, equipping participants with skills crucial for enhancing reservoir management efficiency

Duration: 20+ Hours

Who Should Attend?
If you're a recent graduate, early-career professional, or someone transitioning into this exciting domain, this program provides a solid foundation. Gain practical skills, hands-on experience, and a comprehensive understanding that will empower you in your early steps toward a successful career in Oil & Gas reservoir management and analytics

Benefits Beyond the Classroom: Why Attend?

  • Industry-Relevant Expertise
  • Career Advancement Opportunities
  • Gain Oil & Gas-Specific Skillset
  • Connect with industry professionals, fostering collaborations and expanding your network
  • Stay Ahead in Oil & Gas Innovations

Key Learning Objectives: What You'll Achieve

  • Master Python for Oil & Gas Reservoir Analytics.
  • Advance in Reservoir Production Analysis
  • Develop Data-Driven Reserve Evaluation Skills for Oil & Gas Assets.
  • Became master to apply Python for Fluid Properties Analysis
  • Implement Machine Learning for Reservoir Monitoring in Oil & Gas.
  • Excel in Waterflood Optimization Techniques for Oil & Gas.
  • Create Customized Dashboards for Informed Decision-Making

Topics to be covered:

1.  Python in Reservoir Analytics

  • Relevant Python Libraries for Reservoir Analytics
  • Reservoir Production Time Series Analysis
  • Saturation Profile Visualization
  • Interactive 3D Horizon Surfaces
  • 3D Reservoir Grid Construction with Python

2.  Data-driven Reserve Evaluation techniques

  • Estimating OOIP and EUR.
  • Monte Carlo Simulation with Python
  • Predicting EUR for Shale Reservoirs.
  •  Sweet-Spot Quality Index (SSQI) for Shale Reservoirs

3.  Enhancing PVT and Fluid Properties Analysis with Machine Learning

  • Python libraries for fluid characterization
  • Phase envelopes with Python
  • Intelligent models for estimating Formation Volume factor etc.
  • Predicting PVT properties from compositional data with Machine learning

4.  Machine Learning-assisted Reservoir Monitoring and Surveillance

  • Predicting Static BHP with ML
  • Predicting Flowing BHP with ML
  • Automated Detection of Reservoir Performance Anomaly.
  • Reservoir Performance Monitoring Dashboard.

5.  Waterflood Optimization with Machine Learning

  • Waterflood performance prediction with ML
  • Waterflood Pattern Optimization with ML.