MatBal® Software History Matching Mode
Calibration of a MatBal model is achieved through the following history matching functions.
Linear history match–classic straight line fit to data (left); simultaneous display of diagnostic plots (right).
Non-linear history match.
Production data can be entered either for reservoirs or for wells.
When historical reservoir production data is entered, MatBal software re‑samples the historical production data to a common time-basis
When historical well production data is entered, the program allocates historical well production to the individual producing layers and re‑samples to a common time-basis
Historical production and pressure data is used to calibrate the field model using a combination of linear and non-linear regression methods in conjunction with diagnostic plots for water influx and pressure comparison.
- Linear Regression–the linear regression facility performs straight line fits to the classic material balance equations (e.g. P/Z for gas reservoirs, F-We vs. E for aquifer supported reservoirs)
- Non-Linear Regression–the non-linear regression facility varies key model parameters (e.g. OIIP, aquifer strength, reservoir-reservoir transmissibility) to obtain an optimum match to historical data and provides a simultaneous best-fit to all reservoirs in the model
The simulation option takes the entered historical production data as input and calculates the pressure, saturations and fluid properties for each reservoir in the model as output. These simulation calculations are performed automatically on entering the simulation mode and users can view the simulation results, generate plots and perform manual simulations in this mode.
Relative Permeability Tuning
In this mode, the relative permeability model (Corey functions) can be tuned to observed data for reservoirs and/or well-reservoir connections.