Data Integration

Parameterization in Reservoir Model Workflows

Parameter Values vs Functions

There are in general two types of input parameters in reservoir models (geomodels and flow models):
  1. Single value (deterministic) parameters.  Typical examples are oil-water contact, fault transmissibilities, and bubble point pressure.
    • These examples represent continuous values, but they also may be discrete.  See the discussion below on Continuous vs Discrete Parameters.
  2. Parameter functions, which are often stochastic functions found in geostatistics.
    • These functions describe proper

History Matching Reservoir Flow Simulations

studioSL offers a unique simulation history matching solution to reservoir engineers and geoscientists with workflows ranging from screening, diagnosis, to assisted history matching.  In particular, our HM workflow is specifically designed for well-level matching by modifying grid-based properties at the inter-well level.  For million cell models with 100's of wells, this workflow is one of the few practi

History Matching Solutions

History matching solutions page

 

  • Streamline-based History Matching

History Matching

What is History Matching?

History matching is the process of building one or more sets of numerical models (representing a reservoir) which account for observed, measured data.  During any kind of model calibration process such as this, it is important to note that:

History Matching in Metric Space

An extremely useful aspect of MDS is that we can visualize the location of the true reservoir (yellow "cross" in the figure below) and compare it to the set of reservoir models in space.  This comparison is useful for pre-history match screening

Streamline-Based History Matching

Background - Relationship of Time-of-Flight and Grid Block Properties

Streamline-based history matching has been a subject of intensive research over the last several years (see references below).  History matching using streamlines has been shown to be an attractive alternative to traditional history matching when streamline simulation is applicable.  All streamline-based history matching methods take advantage of the simple relationship between the time-of-flight (TOF) of the streamline, and the eff

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