Integrated Reservoir Modelling (IRM) Syllabus

Each module can be taken separately or combined together to suit your requirements.
Combine all three modules together in the IRM Syllabus and the training time reduces to 5 days, saving you time and money.
Formation Evaluation
IRM1 (2 days)
Determine requirements of modellers and other exploiters vs. data availability
  • Nature, form and timing
  • Confidence level
  • Work plan
Gather and condition data for evaluation
  • Quality control
  • Depth reconciliation
  • Environmental corrections
Identify the main evaluation variables
  • Main units and litholog
  • Mineralogy, environmental conditions, operational considerations
Perform consistent evaluation
  • Clay volume and distribution
  • Fluid identification
  • Sums and averages
  • Uncertainty quantification
Integrate and reconcile
  • Core analysis
  • Capillary pressure
Design a data acquisition program to reduce the significant uncertainties
  • Uncertainty reduction
  • Advanced analyses
Documentation
  • Traceability
Geological Modelling
IRM2 (2 days)
Determine the drivers and deliverables that frame a reservoir modelling project
  • Reservoir modelling framework
  • Fit for purpose models
  • Risk and opportunity matrix
Identify the data required to build a reservoir model
  • Reservoir model anatomy
  • Where can data be found
  • Data QA/QC
Analyse and interpret the data inputs, including property modelling workflows and geostatistics
  • Lithofacies depositional model
  • Correlation framework
  • Sequence stratigraphy
  • Well ties
  • Defining area of interest
  • Gridding and fault treatment
  • Zones and layering
  • Non neighbour connections
  • Well log upscaling
  • Semi variograms
  • SIS, TGS indicator modelling
  • SGS property modelling
  • Object modelling
  • Saturation height function
Build a geological model using a commercial platform
  • Workflows
  • Model qa/qc
Reservoir Simulation
IRM3 (2 days)
Determine whether a reservoir simulation model is necessary
  • Project lifecycle and decision requirements
  • Subsurface uncertainty
  • Analogues, material balance, decline curve analysis
  • Data quality and quantity
Define what decision the reservoir simulation model will help address
  • Decision driven objectives
  • Decision making bias
  • Study objectives
Identify and use the input data necessary to construct a reservoir simulation model
  • Geological model – structural and property
  • Fluid PVT, relative permeability, capillary pressure, rock typing
  • Pressure and initial conditions
  • Wells, perforations, lift performance, skin, hydraulic fractures
  • Historical data requirements
Build a reservoir simulation model using commercial simulation platform (eclipse), initialise it, and run the model
  • Well control
View and interpret the reservoir simulation model results
  • Plots, cross sections
  • History matching methods
Training requirements
The training includes the cost of the required commercial software licences for the duration of the training. The provision of a personal computer running at minimum Windows 7/x64, with minimum 8 GB RAM and Intel i5/i7 processor (or equivalent) are not included.