Permeability prediction using a connected reservoir regions map
Methods, systems, and computer-readable medium to perform operations including obtaining data identifying a time-lapse average pressure for each well of a plurality of wells of a reservoir; determining a plurality of homogenous trends of the data; clustering the data into a plurality of groups based on the homogenous trends, each group corresponding to a respective trend; and generating a connected reservoir region map that includes a plurality of connected reservoir regions (CRR) that each correspond to a group of the plurality of groups, each CRR includes a subset of the plurality of wells that corresponds to the respective group of the CRR, wherein each CRR is associated with a homogeneous pressure response.
1. A method, comprising:
receiving (i) pressure data identifying a time-lapse average shut-in pressure data for each well of a plurality of wells of a reservoir, and (ii) well data for the plurality of wells;
determining a plurality of homogenous trends in the pressure data;
clustering the pressure data into a plurality of groups based on the homogenous trends, each group corresponding to a respective trend;
generating a connected reservoir region map that includes a plurality of connected reservoir regions (CRR) that each correspond to a group of the plurality of groups, wherein each CRR includes a subset of the plurality of wells that corresponds to the respective group of the CRR, and wherein each CRR is associated with a homogeneous pressure response;
for each CRR of the plurality of CRRs, creating a respective 1-dimensional (1-D) permeability function based on the well data from that CRR; and
generating, based on the respective 1-D permeability function of each CRR, a 3-dimensional (3-D) permeability distribution map of the reservoir.
2. The method of claim 1 , wherein the well data comprises at least one of core data or log data from the plurality of wells.
3. The method of claim 1 , wherein generating, based on the respective 1-D of each CRR, a 3-dimensional (3-D) permeability distribution map of the reservoir comprises:
for each CRR of the plurality of CRRs, determining a respective permeability distribution within the CRR utilizing the respective 1-D permeability function of that CRR; and
generating the 3-D permeability distribution map based on the respective permeability distribution within each CRR.
4. The method of claim 1 , wherein determining the plurality of homogenous trends in the pressure data further comprises determining two or more wells of the plurality of wells that are associated with a homogeneity of time-lapse average shut-in pressure.
5. The method of claim 1 , wherein generating the connected reservoir region map comprises creating a plurality of depositional polygons to delineate wells corresponding to each group from wells corresponding to the other remaining groups.
6. The method of claim 1 , further comprising defining, based on the connected reservoir region map, a range of a variogram of the reservoir.
7. The method of claim 1 , wherein each well of each CRR is hydraulically connected to each other well in the respective CRR.
8. The method of claim 1 , wherein each CRR is absent of a large-scale permeability barrier.
9. A system, comprising:
one or more processors; and
a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations comprising:
receiving (i) pressure data identifying a time-lapse average shut-in pressure data for each well of a plurality of wells of a reservoir, and (ii) well data for the plurality of wells;
determining a plurality of homogenous trends in the pressure data;
clustering the pressure data into a plurality of groups based on the homogenous trends, each group corresponding to a respective trend;
generating a connected reservoir region map that includes a plurality of connected reservoir regions (CRR) that each correspond to a group of the plurality of groups, wherein each CRR includes a subset of the plurality of wells that corresponds to the respective group of the CRR, and wherein each CRR is associated with a homogeneous pressure response;
for each CRR of the plurality of CRRs, creating a respective 1-dimensional (1-D) permeability function based on the well data from that CRR; and
generating, based on the respective 1-D permeability function of each CRR, a 3-dimensional (3-D) permeability distribution map of the reservoir.
10. The method of claim 1 , wherein the well data provides vertical resolution of heterogeneity in the reservoir, and the time-lapse shut-in pressure data indicates regions of lateral continuity of properties between the wells in the reservoir.
11. The system of claim 9 , wherein the well data comprises at least one of core data or log data from the plurality of wells.
12. The system of claim 9 , wherein determining the plurality of homogenous trends in the pressure data further comprises determining two or more wells of the plurality of wells that are associated with a homogeneity of time-lapse average shut-in pressure.
13. The system of claim 9 , wherein generating the connected reservoir region map comprises creating a plurality of depositional polygons to delineate wells corresponding to each group from wells corresponding to the other remaining groups.
14. The system of claim 9 , the operations further comprising defining, based on the connected reservoir region map, a range of a variogram of the reservoir.
15. The system of claim 9 , wherein each well of each CRR is hydraulically connected to each other well in the respective CRR.
16. The system of claim 9 , wherein each CRR is absent of a large-scale permeability barrier.
17. A non-transitory computer readable medium storing instructions to cause one or more processors to perform operations comprising:
receiving (i) pressure data identifying a time-lapse average shut-in pressure data for each well of a plurality of wells of a reservoir, and (ii) well data for the plurality of wells;
determining a plurality of homogenous trends in the pressure data;
clustering the pressure data into a plurality of groups based on the homogenous trends, each group corresponding to a respective trend;
generating a connected reservoir region map that includes a plurality of connected reservoir regions (CRR) that each correspond to a group of the plurality of groups, wherein each CRR includes a subset of the plurality of wells that corresponds to the respective group of the CRR, and wherein each CRR is associated with a homogeneous pressure response;
for each CRR of the plurality of CRRs, creating a respective 1-dimensional (1-D) permeability function based on the well data from that CRR; and
generating, based on the respective 1-D permeability function of each CRR, a 3-dimensional (3-D) permeability distribution map of the reservoir.
18. The non-transitory computer readable medium of claim 17 , wherein generating, based on the respective 1-D of each CRR, a 3-dimensional (3-D) permeability distribution map of the reservoir comprises:
determining a respective permeability distribution within the CRR utilizing the respective 1-D permeability function of that CRR; and
generating the 3-D permeability distribution map based on the respective permeability distribution within each CRR.
19. The non-transitory computer readable medium of claim 17 , wherein generating the connected reservoir region map comprises creating a plurality of depositional polygons to delineate wells corresponding to each group from wells corresponding to the other remaining groups.