Conditioning of object or event based reservior models using local multiple-point statistics simulations

A system for conditioning reservoir model to data, the system comprising:

• a computing system including a programmable circuit and a memory, the memory storing a reservoir modeling application, the programmable circuit configured to execute program instructions included in the reservoir modeling application which, when executed, cause the computing system to:
• perform a modeling process within a stratigraphic grid corresponding to a subsurface volume to generate an initial model including one or more facies objects within the model grid, the modeling process including parametric distributions, initial and boundary conditions as well as depositional and erosional rules events to define interactions among facies objects within the grid;
• measuring the mismatch between the initial model and the conditioning data and potential input trend models used during the modeling process, and deriving a locally variable constraint model from those local mismatch measurements;
• and using the locally variable constraint model to execute a multiple point statistics simulation, the locally variable constraint model varying between completely constrained by the initial model at locations where the initial model is consistent with known data and potential input trend models, and completely unconstrained by the initial model at locations where the initial model does not match known data or potential input trend models, thereby allowing conformance to known data and potential trend models.

A system for conditioning reservoir model data, the system comprising:

• a computing system including a programmable circuit and a memory, the memory storing a reservoir modeling application and a reservoir model, the programmable circuit configured to execute program instructions included in the reservoir modeling application which, when executed, cause the computing system to:
• define the reservoir model as a representation of a subsurface volume, the reservoir model including a stratigraphic grid including a plurality of columns and a plurality of layers, the reservoir model defining a plurality of properties at each layer in each column;
• perform an object- or event-based modeling process within the model volume to generate an initial model defining one or more facies objects stored within the model grid, the object- or event-based modeling process including parametric distributions, initial and boundary conditions as well as depositional and erosional rules to define the facies objects within the gird;
• compute a locally variable constraint model that defines, for one or more locations within the initial model associated with known data, one or more constraints to be applied to the multiple point statistics simulation to locally constrain the level of conformance to either the initial object- or event-based model based or known data in the form of well data and potential input trends;
• and
• execute a multiple point statistics simulation constrained to a locally variable constraint model
• wherein, the level of locally variable constraint specificity varies as a function of the local mismatch between the initial model and the well data and potential input trend model.