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SIMEDWin

SIMEDWin is a coal seam methane reservoir simulator, which can be used to investigate the relationships between reservoir properties, well operating procedures and gas production. SIMEDWin is used to optimise well field design, reservoir management and production forecasting.

In addition to coal bed methane, SIMEDWin has been used extensively by industry for the management of gas drainage during coal mining and significantly improved the planning of drainage works. It has a number of features specifically designed for coal mine gas management in contrast to other coal bed methane reservoir simulators.

SIMEDWin is a further development of SIMED II, which was originally developed by Val Pinczewski and Mark Stevenson, School of Petroleum Engineering, University of New South Wales.

Postprocessing of model predictions of pressure

Grid view showing five tight radius wells

 

Capabilities

SIMEDWin is primarily designed for modelling the drainage of gas from coal seams but it can also be used to model conventional dry gas reservoirs. It is capable of single well or full field simulations, which involve multiple wells with multiple completions.

SIMEDWin is appropriate for simulating reservoirs which involve:

  • two phase (gas and water) flow
  • three dimensional geometry
  • multi-component (multiple gas species) adsorption and gas migration
  • single or dual porosity reservoirs

 

Postprocessing of predictions of SIS gas rates and bottomhole pressure

 

Features

SIMEDWin incorporates a number of advanced functions, which makes the software ideal for use in the coal seam methane and mining industries. Some significant features of SIMEDWin include:

Model processes

  • Dual porosity (Warren-Root)
  • Permeability – various options (2 x stress permeability models, multi- component matrix shrinkage effects (modified Sawyer model), klinkenberg correction)
  • Multi-component adsorption (extended Langmuir, Ideal Adsorbed Solution)
  • Fully coupled implicit well model
  • Phase behaviour internally defined for common gas species (methane, carbon dioxide, nitrogen, ethane); ability for the user to define gases (Peng-Robinson EOS)

Input options

  • Multiple coal types
  • Several initialisation options • Variable gridding
  • Hydraulic fracture model
  • Face drainage option (for coal mining)
  • Longhole drainage
  • Grid block and well numbers limited by memory

Other considerations

  • Fully implicit formulation
  • Klinkenberg effect correction factor
  • Flow dependent skin factor
  • Numerical dispersion control
  • Jacobian optimisation/inversion
  • Comprehensive input data error checking
  • Windows user interface and post processing
  • Automated history matching using Marquardt’s method

 

Reservoir grid design window

 

Grid view with four surface to inseam wells