Conditional Simulations

• Use the innovative and high-performing Stochastic Partial Differential Equations-based simulation technique to deliver realizations faster than with any other algorithms.
  SPDE-based simulations allow:
  – Improving productivity. The tests conducted at Geovariances have shown that users can obtain simulation realizations up to 50 times faster in 2D and 3 times faster in 3D than running the Turning Bands (TBS) method.
  – Integrating large data sets. The method digests several hundreds of thousands of data points easily and so uses a unique neighborhood.
  – Considering local anisotropies.
  This unequaled algorithm derives from a 2-year research consortium Geovariances has conducted in partnership with the Center for Geostatistics from MINES ParisTech and major mining companies, including Anglo American, BHP, Eramet, Kinross, Newcrest, and Orano.
• Use Sequential Gaussian Simulations (SGS) to generate multiple realizations and perform uncertainty analysis.

Facies modeling and simulation

• Estimate local facies proportions from lithotypes identified on drill holes.
  Derive Vertical Proportion Curves to analyze the vertical variability of the lithotypes. This tool is useful to get the picture of the facies’ original distribution (before deformation).
• Produce detailed and geologically sound facies models using Multiple-point Statistics (MPS).
  Isatis.neo implements the DeeSee algorithm from the University of Neuchâtel in Switzerland. The technique enables the modeling of complex relationships between facies by mimicking a training or reference image. You can force some grid cells to connect or simulation realizations to comply with input anisotropies or facies proportions. DeeSse also applies to multivariate issues.
  MPS complements the Plurigaussian Simulations (PGS) already available in the software.

Data analysis

• Compute H-Scatter Plots to analyze the spatial continuity of one or more variable(s) at given distance classes.
• Load parameter values from already calculated experimental variogram or variogram models. The various fields are automatically filled in the Exploratory Data Analysis interface.
• Export model parameters to a CSV or Excel file through the Geostatistical Set Explorer.

• Control the quality of your estimates with the Estimation Validation tool. It lets you compare output statistics with those of the input data or any interpolated data (e.g., kriged estimates but also results of deterministic interpolations such as Inverse Distance or Nearest Neighbor).
• Perform drill hole data desurveying through a choice of four methods that interpolate angles between survey points and compute trajectories at a given discretization step.
• Import deviated boreholes stored in a unique input file containing top, deviation, and core sample information.
• Import Vulcan® block models (regular or sub-block ), wireframes, and drill holes (and composites).
• Export Isatis.neo regular and irregular grids to Vulcan® block and sub-block models.

The Early Access menu gives you access to functionalities, the interfaces of which are not optimized. It offers advanced users the opportunity to test them and give their feedback to orientate the latest developments.

Here are the functionalities that will be released in the next version and that you may already test:

• [Standar and Petroleum Editions] Load GRDECL grids from Eclipse. Data is stored as 3D regular grids in Isatis.neo.
• [Petroleum Edition] The Conversions & Uncertainties Workflow enables the export of time-to-depth conversion results into a velocity cube defined in depth.

• New features in version 2020.06
• New features in version 2020.02
• New features in version 1.1