SYSTEM, METHOD AND PROGRAM PRODUCT FOR AUTOMATICALLY MATCHING NEW MEMBERS OF A POPULATION WITH ANALOGOUS MEMBERS

• US 20140163901A1
• Filed: 12/12/2012
• Published: 06/12/2014
• Est. Priority Date: 12/12/2012
• Status: Active Grant

• Current Assignee: International Business Machines Corporation, Repsol, S. A.
• Original Assignee: International Business Machines Corporation, Repsol, S. A.
• Inventors: Hegazy, Mohamed Ahmed, Droz, Sonia Mariette Embid, Flach, Bruno Da Costa, Zadrozny, Bianca, RODRIGUEZ, HILARIO Martin, Valladao, Davi Michel
• Granted Patent: US 9,417,256 B2
• Time in Patent Office: Days
• US Class Current: 702/22
• CPC Class Codes: G01N 37/00 Details not covered by any other group of this subclass
• CPC Class Codes: G01V 20/00 Geomodelling in general
• CPC Class Codes: G01V 2210/624 Reservoir parameters
• CPC Class Codes: G01V 2210/665 using geostatistical modeling

Abstract

A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, characteristics and analogous members is partitioned into lists for each member. A weighting system automatically uses the partitions to determine a weight set (w*) for population member characteristic and a similarity function. The weighting system may include an objective model that iteratively, blindly identifies analogous members for each population member until the identified analogous members match the listed analogous members. An analogous member selector uses the weights set (w*) and similarity function to automatically select analogous listed members for each new population member.

Claims

1. An population comparison system comprising:

a population storage storing a list of population members and one or more characteristics for each population member;

an automatic weighting system automatically determining weights (w*) for population member characteristic and a similarity function identifying for said each population member one or more other analogous population members;

a new population member input receiving new population member descriptions including characteristics for each respective new population member; and

an analogous member selector selecting a subset of listed population members as analogous members for each new population member responsive to said determined weights (w*) and said similarity function.

2. A population comparison system as in claim 1, wherein each listed population member has one or more previously identified analogous population members, and said automatic weighting unit comprises:

a cross validation pre-processor partitioning said population into a plurality of partitions; and

an objective model automatically selecting property weights to select from other said listed population members for each listed population member the same members as said more previously identified population members.

3. A population comparison system as in claim 2, wherein said cross validation pre-processor partitions said population (I) into one partition for each member (i, where iε

I), each partition including two sub-groups, one sub-group including said each member (i) and the other sub-group including all other members remaining after excluding the respective said each member (I_i=I\{i}).

4. A population comparison system as in claim 2, wherein said population members are reservoirs with properties (pε

P), each property has a known value (θ

_i^p), and said objective model compares said known value for a target property (i) against a property value estimate (ν

_iε

R;

individual iε

I estimate of property η

ε

P) for said target property to arrive at property weights (w_pε

[1,0]).

5. A population comparison system as in claim 4, wherein said objective model minimizes the comparison difference and has the form:

min

6. A population comparison system as in claim 4, wherein two reservoirs (i and j) are separated by a 2-norm univariate distance (δ

_ij^p), and inputs to said objective model include;

θ

_i^pε

[1,0];

(known) value of property pε

P of individual iε

I; and

δ

_ij^pε

[1,0];

distance along property pε

P between reservoirs iε

I and jε

I.

7. A population comparison system as in claim 6, wherein

reservoirs are separated by a distance, d_ijε

R;

iε

I and jε

I;

each reservoir has K neighboring reservoirs within a neighborhood threshold, t_iε

R;

iε

I; and

said objective model optimizes subject to property estimate constraints, neighboring distance constraints, weight constraints, and neighboring member constraints.

8. A population comparison system as in claim 7, wherein

property estimate constraints have the form

9. A population comparison system as in claim 1, said analogous member selector comprising:

a member selection unit applying determined said weights (w*) to new population member characteristics and automatically selecting listed members satisfying a threshold as members of said subset; and

an estimator determining a value for the new population member from said subset.

10. A population comparison system as in claim 9, wherein said threshold is a preselected number, said member selection unit selecting said preselected number of listed members with weighted properties closest to said the new population member.

11. A reservoir valuation system comprising:

a reservoir storage storing a reservoir database of known reservoirs and characteristics for each known reservoir;

an automatic weighting system automatically determining weights (w*) for known reservoir characteristics and a similarity function identifying for said each known reservoir one or more other analogous reservoirs;

a new reservoir input receiving new reservoir descriptions including characteristics for each respective said new reservoirs;

an analogous reservoirs selection unit applying determined said weights (w*) to said new reservoir characteristics and automatically selecting a subset of known reservoirs satisfying a threshold; and

an estimator determining a value for the said new reservoir from said subset.

12. A reservoir valuation system as in claim 11, wherein each known reservoir has one or more previously identified analogous reservoirs, and said automatic weighting unit comprises:

a cross validation pre-processor partitioning said known reservoirs into a plurality of partitions; and

an objective model automatic selecting property weights to select from other known reservoirs for each known reservoir the same members as said more previously identified analogous reservoirs.

13. A reservoir valuation system as in claim 12, wherein said cross validation pre-processor partitions said known reservoirs (I) into one partition for each known reservoir (i, where iε

I), each partition including two reservoir sub-groups, one reservoir sub-group including said each known reservoir (i) and the other reservoir sub-group including all other known reservoirs remaining after excluding the respective said each known reservoir (I_i=I\{i}).

14. A reservoir valuation system as in claim 13, wherein said reservoirs are hydrocarbon reservoirs with properties (pε

P), each property has a known value (θ

_i^p), and said objective model compares said known value for a target property (η

) against a property value estimate (ν

_iε

R;

individual iε

I estimate of property η

ε

P) for said target property to arrive at property weights (w_pε

[1,0]).

15. A reservoir valuation system as in claim 14, wherein two reservoirs (i and j) are separated by a 2-norm univariate distance (δ

_ij^p), said objective model minimizes the comparison difference and has the form;

16. A reservoir valuation system as in claim 15, wherein

said hydrocarbon reservoirs are separated by a distance, d_ijε

R;

iε

I and jε

I;

each said hydrocarbon reservoir has K neighboring reservoirs within a neighborhood threshold, t_iε

R;

iε

I; and

said objective model optimizes subject to property estimate constraints, neighboring distance constraints, weight constraints, and neighboring member constraints.

17. A reservoir valuation system as in claim 16, wherein

said property estimate constraints have the form

18. A computer program product for comparing members of a population, said computer program product comprising a computer usable medium having computer readable program code stored thereon, said computer readable program code comprising:

computer readable program code means for storing a list of population members and one or more characteristics for each population member;

computer readable program code means for automatically determining weights (w*) for population member characteristic and a similarity function identifying for said each population member one or more other analogous population members;

computer readable program code means for receiving new population member descriptions including characteristics for each respective new population member; and

computer readable program code means for selecting a subset of listed population members as analogous members for each new population member responsive to said determined weights (w*) and said similarity function.

19. A computer program product for comparing members of a population as in claim 18, wherein said computer readable program code means for storing further indicates each one or more previously identified analogous population members for each listed population member, and said computer readable program code means for automatically determining weights comprises:

computer readable program code means for partitioning said population (I) into a plurality of partitions, one partition for each member (i, where iε

I), each partition including two sub-groups, one sub-group including said each member (i) and the other sub-group including all other members remaining after excluding the respective said each member (I_i=I\{i}); and

computer readable program code means for automatically selecting property weights to select from other said listed population members for each listed population member the same members as said more previously identified population members.

20. A computer program product for comparing members of a population as in claim 19, wherein said population members are hydrocarbon reservoirs, and said computer readable program code means for automatically selecting comprises computer readable program code means for comparing a known value for a target property (η

) against a property value estimate (ν

_iε

R;

individual iε

I estimate of property η

ε

P) for said target property to arrive at property weights (w_pε

[1,0]).

21. A computer program product for comparing members of a population as in claim 20, wherein said computer readable program code means for automatically selecting further comprises computer readable program code means for minimizing the comparison difference and has the form:

22. A computer program product for comparing members of a population as in claim 21, wherein computer readable program code means for automatically selecting optimizes subject to property estimate constraints, neighboring distance constraints, weight constraints, and neighboring member constraints, where

property estimate constraints have the form

23. A computer program product for valuating reservoirs, said computer program product comprising a computer usable medium having computer readable program code stored thereon, said computer readable program code comprising:

computer readable program code means for storing reservoir database of known reservoirs, characteristics for each known reservoir, and indicating for said each known reservoir one or more other said known reservoirs as analogous reservoirs;

computer readable program code means for partitioning said population (I) into a plurality of partitions, one partition for each member (i, where iε

I), each partition including two sub-groups, one sub-group including said each member (i) and the other sub-group including all other members remaining after excluding the respective said each member (I_i=I\{i}); and

computer readable program code means for selecting property weights to select from other said listed population members for each listed population member the same members as said more previously identified population members;

computer readable program code means for determining a set of weights (w*) for known reservoir characteristic and a similarity function independently identifying for said analogous reservoirs for said each known reservoir;

computer readable program code means for receiving new reservoir descriptions including characteristics for each respective said new reservoirs;

computer readable program code means for applying determined said weights (w*) to said new reservoir characteristics and automatically selecting a subset of known reservoirs satisfying a threshold; and

computer readable program code means for determining a value for the said new reservoir from said subset.

24. A computer program product for comparing members of a population as in claim 23, wherein said population members are hydrocarbon reservoirs with properties (pε

P), each property has a known value (θ

_i^p), and said computer readable program code means for determining comprises;

computer readable program code means for comparing said known value for a target property (i) against a property value estimate (ν

_i ε

R;

individual iε

I estimate of property η

ε

P) for said target property to arrive at property weights (w_pε

[1,0]); and

computer readable program code means for constraining said computer readable program code means for comparing, neighboring distance constraints, weight constraints, and neighboring member constraints, where

property estimate constraints have the form

25. A computer program product for comparing members of a population as in claim 24, wherein said computer readable program code means for automatically selecting further comprises computer readable program code means for minimizing the comparison difference and has the form: