Invention Grant
- Patent Title: Conditioning of object or event based reservior models using local multiple-point statistics simulations
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Application No.: US14510357Application Date: 2014-10-09
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Publication No.: US10288766B2Publication Date: 2019-05-14
- Inventor: Michael James Pyrcz , Sebastien Strebelle , Tao Sun
- Applicant: Chevron U.S.A. Inc.
- Applicant Address: US CA San Ramon
- Assignee: Chevron U.S.A. Inc.
- Current Assignee: Chevron U.S.A. Inc.
- Current Assignee Address: US CA San Ramon
- Agent Mary R. Bram; Melissa M. Hayworth; Marie L. Clapp
- Main IPC: G06F17/18
- IPC: G06F17/18 ; G01V99/00 ; G01V11/00

Abstract:
A computer-based method of conditioning reservoir model data includes performing a modeling process within a 3D stratigraphic grid to generate an initial model including one or more facies objects within the model volume, the modeling process including parametric distributions, initial and boundary conditions as well as depositional and erosional events to define the facies objects within the model volume. The mismatch between this initial model and the conditioning well data and potential input trend model is applied to compute a locally variable constraint model. The method further includes executing a multiple point statistics simulation with this constraint model that varies between completely constrained by the initial model at locations where the initial model is consistent with known well data and potential input trend models, and unconstrained by the initial model at locations where the initial model does not match known well data or potential input trend models to allow conformance to the known data.
Public/Granted literature
- US20160103245A1 CONDITIONING OF OBJECT OR EVENT BASED RESERVIOR MODELS USING LOCAL MULTIPLE-POINT STATISTICS SIMULATIONS Public/Granted day:2016-04-14
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