FORECASTING PRODUCTION AND ESTIMATING RESERVES IN UNCONVENTIONAL RESERVOIRS

Instructor: Prof. W. John Lee, Texas A&M University

June 26 ~ 27, 2017 Houston

1.6 CEU


 
This course is entirely focused on unconventional reservoirs. It provides participants with the skills and understanding required to forecast production and estimate reserves in unconventional (ultra-low permeability) reservoirs. On completion of this course, participants will have developed competence in their ability to forecast production and estimate reserves for individual oil and gas wells and reservoirs using state-of-the art methodology.

The unconventional reservoir knowledge and skills acquired through completion of this course include;

  • Strengths, limitations, and applications of volumetric methods
  • Strengths, limitations, and applications of analog methods
  • Strengths, limitations, and applications of empirical production decline models
  • Strengths, limitations, and applications of analytical reservoir models
  • Strengths, limitations, and applications of numerical simulators
  • Strengths, limitations, and applications of statistical resource analysis to entire reservoirs.
  • Apply appropriate methodology to typical situations requiring reserves estimates in unconventional reservoirs.

Course Contents

  • Basic fluid flow theory
  • Radial and linear flow
  • Constant rate and constant BHP production
  • Radius of investigation
  • Boundary-dominated flow
  • Basic drilling and completion techniques in unconventional reservoirs
  • The volumetric method of estimating reserves
  • The analog method of forecasting production and estimating reserves
  • Empirical production decline methods of forecasting production and estimating reserves
  • Arps decline model
  • Minimum terminal decline methodology
  • A priori determination of Arps decline parameter “b”
  • Advanced decline curve analysis and its limitations
  • Stretched exponential model
  • Blasingame modified power-law model
  • Long-duration linear flow model
  • Use of analytical reservoir models
  • Use of numerical reservoir simulators
  • Use of statistical resource analysis
  • Applications of appropriate methodology to example situations.

Continuing Education Credits received: 1.6 CEU