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Modern Production Data Analysis for Unconventional Reservoirs

Adopt a comprehensive methodology for well performance analysis

Pursuing detailed processes? Want better analytical results?

This course will provide a comprehensive methodology for well performance analysis, with specific focus on unconventional oil and gas. The use of examples will illustrate the practical aspects of production data analysis.

Course Details

Who Should Attend: Engineers and technologists involved in the exploitation, production and evaluation of tight and unconventional reservoirs.

Prerequisites: Basic Windows navigation skills

Tuition: This course is available to in-house groups on request. Please contact us

Cancellation Policy: To cancel without penalty, please give notice seven calendar days prior to the start of the course. Without prior notice, you will be charged full tuition.

Core Competencies
  • Critically assess data quality and perform qualitative diagnostics on well production data
  • Identify well and reservoir flow regimes from rate/pressure response
  • Estimate reserves, OGIP/OOIP and drainage area
  • Determine "linear flow parameter" and skin
  • Forecast production, with particular focus on the inherent uncertainty in unconventional plays
  • Assess well performance and identify optimization candidates
Topics Covered
  • Linear flow analysis for tight fractured reservoirs
  • Simplified approach
    • Log-log diagnostic plot – identifying flow regimes
    • Specialized plot – determining LFP and skin
    • Flowing material balance analysis – determining SRV
    • Modified hyperbolic decline curves
  • History matching using analytical and numerical models
    • Modeling performance of Hz wells with multiple fractures
    • Inclusion of pressure dependent permeability
    • Inclusion of adsorbed gas
  • Examples
    • Depending on time and interest, examples from Barnett, Bakken, Montney, Horn River, Marcellus, Haynesville and Eagle Ford plays will be presented.
    • Participants are encouraged to bring their own data. Examples provided by attendees will be worked through as a class, time permitting.

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