Multivariate analysis of seismic data, microseismic data, and petrophysical properties in fracture modeling

US11099289B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11099289-B2
Application numberUS-201616331635-A
CountryUS
Kind codeB2
Filing dateOct 4, 2016
Priority dateOct 4, 2016
Publication dateAug 24, 2021
Grant dateAug 24, 2021

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, or a combination thereof with a mathematical model based on measured data, microseismic data, completion and treatment data, or a combination thereof to produce a petrophysical property map, a microseismic data map, or a combination thereof; and correlating a seismic attribute map with the petrophysical property map, the microseismic data map, or the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network.

First claim

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The invention claimed is: 1. A computer-implemented method comprising: modeling, by a computer system coupled to a wellbore tool, one selected from the group consisting of petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, and a combination thereof with a mathematical model based on one selected from the group consisting of measured data, microseismic data, completion and treatment data, and a combination thereof to produce one selected from the group consisting of a petrophysical property map, a microseismic data map, and a combination thereof; and correlating by the computer system, a seismic attribute map with one selected from the group consisting of the petrophysical property map, the microseismic data map, and the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network. 2. The computer-implemented method of claim 1 , further comprising: modeling the seismic attribute for the complex fracture network within the subterranean formation with the mathematical model based on seismic data of the subterranean formation to produce the seismic attribute map. 3. The computer-implemented method of claim 1 , further comprising: determining a location to drill a wellbore into the subterranean formation so as to intersect the complex fracture network based on the at least one quantified correlation. 4. The computer-implemented method of claim 1 , further comprising: identifying natural fractures and induced fractures within the complex fracture network. 5. The computer-implemented method of claim 1 , wherein the measured data of the subterranean formation is selected from the group consisting of: seismic data, gravimetric data, magnetic data, magnetotelluric data, and any combination thereof. 6. The computer-implemented method of claim h further comprising: updating a reservoir production model based on the at least one quantified correlation. 7. The computer-implemented method of claim 1 , further comprising: updating a fracture model based on the at least one quantified correlation. 8. The computer-implemented method of claim 1 , further comprising: performing a wellbore treatment operation with at least one parameter based on the at least one quantified correlation. 9. The computer-implemented method of claim 1 , further comprising: drilling or extending a wellbore so that the wellbore intersects the complex fracture network based on the at least one quantified correlation. 10. A system comprising: a wellbore tool placed along a wellbore extending into a subterranean formation; a non-transitory computer-readable medium coupled to the wellbore tool to receive measured data of the subterranean formation from the wellbore tool and encoded with instructions that, when executed, cause the system to perform operations comprising: modeling one selected from the group consisting of petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, and a combination thereof with of measured data, microseismic data, completion and treatment data, respectively, to produce one selected from the group consisting of a petrophysical property map, a microseismic data map, and a combination thereof, respectively; and correlating a seismic attribute map with one selected from the group consisting of the petrophysical property map, the microseistnic data map, and the combination thereof using a. mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network. 11. The system of claim 10 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: modeling the seismic attribute for the complex fracture network within the subterranean formation with the mathematical model based on seismic data of the subterranean formation to produce the seismic attribute map. 12. The system of claim 10 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: determining a location to drill a wellbore into the subterranean formation so as to intersect the complex fracture network based on the at least one quantified correlation. 13. The system of claim 10 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: identifying natural fractures and induced fractures within the complex fracture network. 14. The system of claim 10 , wherein the measured data of the subterranean formation is selected from the group consisting of: seismic data, gravimetric data, magnetic data, magnetotelluric data, and any combination thereof. 15. The system of claim 10 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: updating a reservoir production model based on the at least one quantified correlation. 16. The system of claim 10 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: updating a fracture model based on the at least one quantified correlation. 17. A non-transitory computer-readable medium encoded with instructions that, when executed, cause a system to perform operations comprising: modeling one selected from the group consisting of petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, and a combination thereof with of measured data, microseismic data, completion and treatment data, respectively, to produce one selected from the group consisting of a petrophysical property map, a microseismic data map, and a combination thereof, respectively; and correlating a seismic attribute map with one selected from the group consisting; of the petrophysical property map, the microseismic data map, and the combination thereof using a mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network. 18. The non-transitory computer-readable medium of claim 17 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: modeling the seismic attribute for the complex fracture network within the subterranean formation with the mathematical model based on seismic data of the subterranean formation to produce the seismic attribute map. 19. The non-transitory computer-readable medium of claim 17 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: determining a location to drill a wellbore into the subterranean formation so as to intersect the complex fracture network based on the at least one quantified correlation. 20. The non-transitory computer-readable medium of claim 17 , wherein the instructions that, when executed, cause the system to perform operations that further comprise: identifying natural fractures and induced fractures within the complex fracture network.

Assignees

Inventors

Classifications

  • Fractures · CPC title

  • Processing data · CPC title

  • E21B7/04Primary

    Directional drilling · CPC title

  • G01V1/301Primary

    for determining seismic cross-sections or geostructures · CPC title

  • Time lapse or 4D effects, e.g. production related effects to the formation (fluid flow per se E21B47/00) · CPC title

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What does patent US11099289B2 cover?
A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic da…
Who is the assignee on this patent?
Landmark Graphics Corp
What technology area does this patent fall under?
Primary CPC classification E21B7/04. Mapped technology areas include Fixed Constructions.
When was this patent published?
Publication date Tue Aug 24 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).