ResMod is (RC)²'s geostatistical modeling package. It features a large suite of estimation and simulation techniques for generating reservoir models. ResMod models continuous (e.g., porosity), categorical (i.e., facies), and categorical-to-continuous (facies dependent) properties. Support or questions can be addressed through email (resmod@rc2.com) or through our Denver office. If you have a fast internet connection and wish to see a gallery of ResMod results click here (ResMod Gallery).

Features:

• Very user friendly
• Handles both continuous (point properties e.g. porosity, permeability) and categorical variables (geological facies)
• Provides numerous estimation and conditional simulation techniques (48 and counting - complete list below) to provide users with a suite of techniques from which to choose depending on type of reservoir and data available;
• Provides estimation techniques for evaluation of local uncertainties;
• Designed to integrate different types of data (well-log, seismic, well test, production, geological expertise, digitized geological descriptions, outcrop information);
• Honors the differences in reliabilities between data types when doing integration;
• Full diagnostic capabilities allow users to inspect every step of model building
• Spatial models of correlation are area/region dependent and layer/sequence dependent
• Post processing capabilities to fine tune the reservoir model
• Stochastic transforms (cloud transform)
• Full 3D modeling capabilities (honors 3D spatial correlations)
• Handles the inclusions of faults in the model (see ResFrame)
• Handles deviated and horizontal wells (spatial analysis and modeling)
• Marker surfaces are generated from well and/or seismic surfaces or read in from other vendor packages(such as Zmap+ or CPS3D) through the ResPrep program.
• Extensive data analysis capabilities
• Generation of rotated or unrotated regular grids
• Generation of stratigraphic, truncated and onlap/offlap vertical grids
• Batch capabilities to generate hundreds of realizations for sensitivity/uncertainty analysis
• Interactive uncertainty viewing
• Very easy to add or remove information from database (adding logs, new wells, markers, etc...) through ResPrep
• Straightforward handling of seismic data (does not require any extensive data reformatting)
• Full dynamic memory allocation does not limit number of wells or seismic traces
• Output formats compatible with Eclipse, VIP, StrataModel, SEG-Y, CMG, GridGenr
• Open slot utilities to include proprietary spatial statistics algorithms (in development)
• Very sophisticated visualization capabilities (ResScape)
• Azimuth and Anisotropy templates
• Transparent links to Stratamodel
• Use of maps to provide model of spatial correlation directly (in development)

Continuous variables

• Estimation algorithms:
  • Inverse Distance to any power
  • Ordinary Kriging
  • Simple Kriging
  • Ordinary Kriging with a trend (External Drift)
  • Collocated Cokriging
  • Co-Collocated Cokriging
  • Indicator Kriging
  • Indicator Collocated Cokriging
• Simulation algorithms:
  • Sequential Gaussian Simulation (sGs)
  • sGs with external drift
  • sGs with Collocated Cokriging
  • sGs with Co-Collocated Cokriging
  • Pfield (Probability Field) Gaussian Simulation
  • Pfield with external drift
  • Pfield with collocated cokriging
  • Pfield with co-collocated cokriging
  • Sequential Indicator Simulation (SIS)
  • SIS with Collocated Cokriging
  • Pfield Indicator Simulation
  • Pfield Indicator Simulation with Collocated cokriging
  • Post Processing using Simulated Annealing
  • Simulated Annealing with multiple objective functions
  • Cloud transform

Categorical variables

• Estimation algorithms:
  • Indicator Kriging (with or w/o soft data)
  • Maximum probability classification
  • Rescaled maximum probability classification
  • Dynamic classification (Soares)
• Simulation algorithms:
  • Sequential indicator Simulation
  • Pfield indicator Simulation (with or w/o soft data)
  • Truncated Gaussian with or without a linear trend
  • Post Processing of estimation using Annealing
  • Post Processing of simulation using Annealing
  • Simulated Annealing
  • Categorical to continuous (Facies to Phys. Property) using sGs
  • Categorical to continuous using Collocated Cokriging
  • Categorical to continuous using cloud transform
• Object-oriented algorithms:
  • Channel simulation with crevasse splays with conditioning to wells, net pay, azimuth templates, seismic data, etc...
  • Algal mounds
  • Fan lobe systems with up to 5 separate facies and conditioning to seismic data, map information, etc...
  • Boolean Deposits (Shales, Blankets)