Distance-to-bed-boundary inversion solution pixelation

US11574459B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11574459-B2
Application numberUS-201716461923-A
CountryUS
Kind codeB2
Filing dateFeb 6, 2017
Priority dateFeb 6, 2017
Publication dateFeb 7, 2023
Grant dateFeb 7, 2023

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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A pixelation-based approach to summarize downhole inversion results acquires inversion solutions and generates an initial model. Each layered solution is pixelated into pixels where each pixel contains the resistivity value of the initial model. A weighted function that weighs pixels according to their proximity to the logging tool may be used to generate the pixelated model to thereby improve accuracy. A statistical summary study is performed to identify the best pixelated model, which is then used to determine one or more formation characteristics.

First claim

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What is claimed is: 1. A method for modeling a subterranean formation, comprising: acquiring logging data representing formation resistivity along a wellbore, the logging data being acquired at a same wellbore depth; performing a distance-to-bed-boundary (“DTBB”) inversion process on the logging data to thereby generate a plurality of layered earth models each corresponding to the same wellbore depth; pixelating the plurality of layered earth models to thereby generate a plurality of pixelated models; and comparing the plurality of pixelated models to determine one or more formation characteristics. 2. The method as defined in claim 1 , wherein generating the plurality of pixelated models comprises: performing a pixel-to-pixel comparison of the plurality of pixelated models and a reference pixelated model; and determining a final pixelated model based on the comparison, the final pixelated model being a pixelated model that most closely matches the reference pixelated model, and the final pixelated model being utilized to determine the one or more formation characteristics. 3. The method as defined in claim 2 , wherein, during the comparison of the plurality of pixelated models and the reference pixelated model, a weighted function is applied to weigh pixels according to proximity to a logging tool position. 4. The method as defined in claim 1 , wherein generating the plurality of pixelated models comprises: performing a pixel-to-pixel comparison of the plurality of pixelated models; and determining a final pixelated model based on the comparison, the final pixelated model being utilized to determine the one or more formation characteristics. 5. The method as defined in claim 4 , wherein, during the comparison of the plurality of pixelated models, a weighted function is applied to weigh pixels according to proximity to a logging tool position. 6. The method as defined in claim 1 , wherein: the plurality of layered earth models comprise layers defined by bed boundaries, each layer representing a resistivity value of the subterranean formation; and the plurality of pixelated models comprise pixels which correspond to the layers, each pixel representing the resistivity value of a corresponding layer. 7. The method as defined in claim 6 , wherein each pixel has an indicator representing the resistivity value of the pixel. 8. The method as defined in claim 7 , wherein the indicator may be a color or gray scale. 9. The method as defined in claim 1 , further comprising performing a wellbore operation based upon the one or more formation characteristics. 10. A non-transitory computer-readable medium comprising instructions which, when executed by at least one processor, causes the at least one processor to perform the method of claim 1 . 11. A system for modeling a subterranean formation, comprising: a logging assembly having one or more sensors positioned thereon to acquire resistivity measurements; and processing circuitry coupled to the one or more sensors and operable to perform a method comprising: acquiring logging data representing formation resistivity along a wellbore, the logging data being acquired at a same wellbore depth; performing a distance-to-bed-boundary (“DTBB”) inversion process on the logging data to thereby generate a plurality of layered earth models each corresponding to the same wellbore depth; pixelating the plurality of layered earth models to thereby generate a plurality of pixelated models; and comparing the plurality of pixelated models to determine one or more formation characteristics. 12. The system as defined in claim 11 , wherein generating the plurality of pixelated models comprises: performing a pixel-to-pixel comparison of the plurality of pixelated models and a reference pixelated model; and determining a final pixelated model based on the comparison, the final pixelated model being a pixelated model that most closely matches the reference pixelated model, and the final pixelated model being utilized to determine the one or more formation characteristics. 13. The system as defined in claim 12 , wherein, during the comparison of the plurality of pixelated models and the reference pixelated model, a weighted function is applied to weigh pixels according to proximity to a logging tool position. 14. The system as defined in claim 11 , wherein generating the plurality of pixelated models comprises: performing a pixel-to-pixel comparison of the plurality of pixelated models; and determining a final pixelated model based on the comparison, the final pixelated model being utilized to determine the one or more formation characteristics. 15. The system as defined in claim 14 , wherein, during the comparison of the plurality of pixelated models, a weighted function is applied to weigh pixels according to proximity to a logging tool position. 16. The system as defined in claim 11 , wherein: the plurality of layered earth models comprise layers defined by bed boundaries, each layer representing a resistivity value of the subterranean formation; and the plurality of pixelated models comprise pixels which correspond to the layers, each pixel representing the resistivity value of a corresponding layer. 17. The system as defined in claim 16 , wherein each pixel has an indicator representing the resistivity value of the pixel. 18. The system as defined in claim 17 , wherein the indicator may be a color or gray scale. 19. The system as defined in claim 11 , further comprising performing a wellbore operation based upon the one or more formation characteristics.

Assignees

Inventors

Classifications

  • Drawing of charts or graphs · CPC title

  • G06V10/751Primary

    Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching · CPC title

  • Processing data, e.g. for analysis, for interpretation, for correction · CPC title

  • operating with propagation of electric current · CPC title

  • of penetrated ground layers · CPC title

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What does patent US11574459B2 cover?
A pixelation-based approach to summarize downhole inversion results acquires inversion solutions and generates an initial model. Each layered solution is pixelated into pixels where each pixel contains the resistivity value of the initial model. A weighted function that weighs pixels according to their proximity to the logging tool may be used to generate the pixelated model to thereby improve …
Who is the assignee on this patent?
Halliburton Energy Services Inc
What technology area does this patent fall under?
Primary CPC classification G06V10/751. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 07 2023 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).