Modern Production Data Analysis for Unconventional Reservoirs

Online Live Streaming Course

May 19 to 23, 2025

Duration : 20 hours

Objective:

This course provides an in-depth understanding of production data analysis (PDA) techniques used for unconventional reservoirs, including shale plays and tight formations. Participants will learn how to apply modern analytical and numerical methods to interpret production trends, estimate reserves, and optimize well performance. The course emphasizes the use of data-driven approaches, decline curve analysis, and advanced diagnostic techniques to improve hydrocarbon recovery.

Who Should Attend:

  • Petroleum engineers
  • Reservoir engineers
  • Production engineers
  • Data analysts in oil & gas
  • Geoscientists working with unconventional resources
  • Graduate students in petroleum engineering

Course Outline (20 Hours Total)

Module 1: Introduction to Production Data Analysis (2 Hours)

  • Fundamentals of production data analysis (PDA)
  • Differences between conventional and unconventional reservoir behavior
  • Key challenges in analyzing production data from shale and tight formations

Module 2: Decline Curve Analysis (DCA) for Unconventional Reservoirs (3 Hours)

  • Overview of traditional decline models (Arps’ equations)
  • Modified DCA models for unconventional reservoirs (e.g., Duong, Stretched Exponential Decline Model – SEDM)
  • Application of machine learning in decline curve analysis

Module 3: Rate-Transient Analysis (RTA) and Flow Regimes (3 Hours)

  • Principles of rate-transient analysis
  • Identifying and interpreting different flow regimes (linear, bilinear, boundary-dominated flow)
  • Applications of RTA in unconventional wells

Module 4: Advanced Diagnostic Techniques (3 Hours)

  • Diagnostic plots for production data analysis
  • Pressure normalization and its impact on analysis
  • Well interference and fracture communication analysis

Module 5: Data-Driven Approaches and Machine Learning Applications (3 Hours)

  • Big data in production analysis
  • Machine learning techniques for well performance prediction
  • Case studies of AI-based production forecasting

Module 6: Production Forecasting and Reserves Estimation (3 Hours)

  • Probabilistic vs. deterministic forecasting
  • Estimated Ultimate Recovery (EUR) assessment methods
  • Uncertainty analysis in unconventional reservoirs

Module 7: Optimizing Well and Field Performance (3 Hours)

  • Well spacing and completion optimization
  • Artificial lift selection for unconventional wells
  • Economic considerations and risk assessment in production analysis

19 May 2025

Live Streaming

Reservoir Engineering, Data Science

4.5/5

USD 1950 + IVA

Starts: 19 May 2025

Ends: 23 May 2025

20 Hours

Live Streaming

Reservoir Engineering, Data Science

4.5/5

USD 1950

Course registration

Registration to the course

Scroll to Top

Newsletter

Subscribe

* indicates required