Hybrid method of combining multipoint statistic and object-based methods for creating reservoir property models

Abstract

A computer system and a hybrid method for combining multipoint statistic and object-based methods include creating a multi-point statistics (MPS) model using a MPS method that satisfies conditioning data and constraints in which the multi-point statistics are derived from a training image created using training-image generation parameters; generating one or more object-shape templates and depositional or structural coordinates of each facies type using the generation parameters; positioning the one or more generated templates within the MPS model such that the one or more generated templates maximally correlate to the MPS model; assigning to each of the one or more positioned templates a unique event; providing depositional or structural coordinates to each cell associated with a given event number; and modeling properties using the coordinates to capture geological trends within each template.

Description

technical field

[0001] The present invention relates generally to computational methods and more particularly to computer systems and computer-implemented methods combining multipoint statistical and object-based methods for creating reservoir property models and methods for editing multipoint phase simulations (MPS) . Background technique

[0002] Three-dimensional (3D) modeling using geostatistics is often used to assess reservoir heterogeneity and connectivity during the characterization of oil fields in the petroleum industry. Geostatistics often use kriging to interpolate between data points or to adjust data. Conditioning data includes well log hard data, but may also include soft data, usually seismic data.

[0003] Traditional 3D modeling methods are based on variograms or two-point statistics. Varimap-based algorithms allow integration of drilling and seismic data using a pixel-based approach. First, well data is tiled into a reservoir stratigraphic grid, ie, we...

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