Patent ID: 8666149

Claim:
A computer implemented hybrid method for combining multipoint statistic and object-based methods comprising: creating, using a computer system, 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, using the computer system, one or more object-shape templates of a 2D or 3D object-shape and depositional or structural coordinates of each facies type using the training image generation parameters; positioning, using the computer system, the one or more generated object-shape templates within the MPS model such that the one or more generated object-shape templates maximally correlate to the MPS model; assigning, using the computer system, to each of the one or more positioned object-shape templates a unique event reference and assigning the same unique event reference to cells within or in the vicinity of each corresponding object-shape template; determining, using the computer system, which cells are to be left unedited and which cells are available for editing; assigning, using the computer system, the cells that are available for editing to facies if the cells that are available for editing are contained by a facies object-shape template positioned within the MPS model at its optimally correlating location.