Method for extracting a thumbnail image from a training image so as to constrain the multipoint geostatistical modeling of the subsoil
According to the invention, in order to initialize the use of a multipoint geostatistical technique (MPS), the method takes information, which was collected in wells drilled in the area of the subsoil to be modeled, into account. Particularly, the method takes inter-well connectivity data into account, which indicate one or more groups of cells of a reservoir grid that are located along a plurality of wells and between which hydrodynamic communications have been observed. For each of said groups, compatible thumbnail images are searched for in a training image used in the MPS technique. Said thumbnail images have, in the training image, facies that enable the flows between the cells of the group. The thumbnail images are applied onto the reservoir grid in order to initialize MPS simulation while ensuring that the inter-well connectivity constraints will be respected.
1. A method for modeling an area of the subsoil, comprising:
constructing, by a processor, a training image on a first three-dimensional grid of cells, the training image giving, for each cell of the first grid, a respective type of geological facies assigned to said cell, the types of facies including a first family of facies and a second family of facies that are less permeable than the facies of the first family;
obtaining, by the processor, well data based on observations conducted in a plurality of wells drilled in the area of the subsoil, the well data referring to a second three-dimensional grid of cells having a morphology is adapted to estimated geological horizons in the area of the subsoil, the well data including:
types of geological facies respectively estimated from the observations for the cells of the second grid located along the wells; and
inter-well connectivity data indicating at least one group of cells of the second grid located along multiple wells, with hydrodynamic communications having been observed between said cells;
in an initialization image defined on the second grid, assigning, by the processor, the types of facies included in the well data to the respective cells of the second grid located along the wells;
for each group of cells indicated by the inter-well connectivity data;
selecting, by the processor, a thumbnail in the form of a set of connected cells of the first grid in which cells corresponding to the cells of said group on the second grid exhibit the same types of facies in the training image as the respective cells of said group in the well data, and belong to a connected subset of cells for which the types of facies in the training image are in the first family, and
in the initialization image, assigning, by the processor, the types of facies given by the training image for the cells of the selected thumbnail to the respective cells of the second grid to which said cells of the selected thumbnail correspond; and
constructing, by the processor, on the second grid, an image that models the area of the subsoil, by propagation from the initialization image by a multipoint geostatistical technique using the training image.
2. The method as claimed in claim 1 , wherein selecting a thumbnail for a group of cells indicated by the inter-well connectivity data comprises:
searching for compatible thumbnails in the training image, each compatible thumbnail satisfying the condition of containing cells corresponding to the cells of said group on the second grid which exhibit the same types of facies in the training image as the respective cells of said group in the well data, and which belong to a connected subset of cells for which the types of facies in the training image are in the first family; and
choosing a thumbnail from among the compatible thumbnails.
3. The method as claimed in claim 2 , wherein the choice of thumbnail is made based on the proportion of facies of the first family that are in the compatible thumbnails.
4. The method as claimed in claim 1 , further comprising verifying representativeness of the training image with respect to the well data.
5. The method as claimed in claim 4 , wherein verifying representativeness of the training image with respect to the well data includes an inter-well verification which comprises:
identifying two-dimensional patterns in the well data, each two-dimensional pattern being defined along a respective geological horizon and including, in a cell containing an intersection of a well with said geological horizon in the second three-dimensional grid, the type of geological facies estimated for said cell; and
counting, in the training image, occurrences of the two-dimensional patterns identified.
6. The method as claimed in claim 5 , wherein the inter-well verification further comprises:
validating the training image when the counted number of occurrences of the identified two-dimensional patterns exceeds a threshold.
7. The method as claimed in claim 6 , wherein said threshold is expressed in proportion to a number of possible positions of the two-dimensional pattern in the training image.
8. The method as claimed in claim 5 , wherein each two-dimensional pattern defined for wells crossing a geological horizon has a position identified by the position of the cell of the second three-dimensional grid containing a centroid of said wells along said geological horizon.
9. The method as claimed in claim 8 , wherein the counting, in the training image, of the occurrences of a two-dimensional pattern positionally identified by the position of a centroid cell comprises;
scanning the training image, each scanning step placing the two-dimensional pattern on the first three-dimensional grid by aligning the cell containing the centroid of the wells over a reference cell of the first three-dimensional grid and the cells of the two-dimensional pattern respectively containing the intersections between the wells and the geological horizon over target cells of the first three-dimensional grid; and
incrementing a counter each time a scanning step results in the types of facies estimated for the cells of the two-dimensional pattern coinciding with the types of facies respectively assigned to the target cells in the training image.
10. The method as claimed in claim 4 , wherein verifying representativeness of the training image with respect to the well data includes an intra-well verification comprising:
estimating a multipoint statistical measurement along each well in the well data;
estimating the same multipoint statistical measurement along vertical columns of the first grid of cells; and
comparing the two estimated multipoint statistical measurements.
11. The method as claimed in claim 10 , wherein the estimated multipoint statistical measurement is a multipoint density function (MPDF) or a distribution of runs.
12. A data processing system suitable for modeling an area of the subsoil by a multipoint geostatistical technique, said system comprising:
a processor;
and a memory for storing instructions for execution by the processor to perform steps of:
constructing a training image on a first three-dimensional grid of cells, the training image giving, for each cell of the first grid, a respective type of geological facies assigned to said cell, the types of facies including a first family of facies and a second family of facies that are less permeable than the facies of the first family;
obtaining well data based on observations conducted in a plurality of wells drilled in the area of the subsoil, the well data referring to a second three-dimensional grid of cells having a morphology is adapted to estimated geological horizons in the area of the subsoil, the well data including:
types of geological facies respectively estimated from the observations for the cells of the second grid located along the wells; and
inter-well connectivity data indicating at least one group of cells of the second grid located along multiple wells, with hydrodynamic communications having been observed between said cells;
in an initialization image defined on the second grid, assigning the types of facies included in the well data to the respective cells of the second grid located along the wells;
for each group of cells indicated by the inter-well connectivity data:
selecting a thumbnail in the form of a set of connected cells of the first grid in which cells corresponding to the cells of said group on the second grid exhibit the same types of facies in the training image as the respective cells of said group in the well data, and belong to a connected subset of cells for which the types of facies in the training image are in the first family, and
in the initialization image, assigning the types of facies given by the training image for the cells of the selected thumbnail to the respective cells of the second grid to which said cells of the selected thumbnail correspond; and
constructing, on the second grid, an image that models the area of the subsoil, by propagation from the initialization image by a multipoint geostatistical technique using the training image.
13. A non-transitory computer-readable storage medium, having a program stored thereon for execution in a data processing system, said program comprising instructions for implementing a method of modeling an area of the subsoil when run on a processor of the data processing system, wherein said method comprises:
constructing a training image on a first three-dimensional grid of cells, the training image giving, for each cell of the first grid, a respective type of geological facies assigned to said cell, the types of facies including a first family of facies and a second family of facies that are less permeable than the facies of the first family;
obtaining well data based on observations conducted in a plurality of wells drilled in the area of the subsoil, the well data referring to a second three-dimensional grid of cells having a morphology is adapted to estimated geological horizons in the area of the subsoil, the well data including:
types of geological facies respectively estimated from the observations for the cells of the second grid located along the wells; and
inter-well connectivity data indicating at least one group of cells of the second grid located along multiple wells, with hydrodynamic communications having been observed between said cells;
in an initialization image defined on the second grid, assigning the types of facies included in the well data to the respective cells of the second grid along the wells;
for each group of cells indicated by the inter-well connectivity data:
selecting a thumbnail in the form of a set of connected cells of the first grid in which cells corresponding to the cells of said group on the second grid exhibit the same types of facies in the training image as the respective cells of said group in the well data, and belong to a connected subset of cells for which the types of facies in the training image are in the first family, and
in the initialization image, assigning the types of facies given by the training image for the cells of the selected thumbnail to the respective cells of the second grid to which said cells of the selected thumbnail correspond; and
constructing, on the second grid, an image that models the area of the subsoil by propagation from the initialization image by a multipoint geostatistical technique using the training image.