Life-time management of downhole tools and components

US9857271B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9857271-B2
Application numberUS-201314051353-A
CountryUS
Kind codeB2
Filing dateOct 10, 2013
Priority dateOct 10, 2013
Publication dateJan 2, 2018
Grant dateJan 2, 2018

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

Systems, methods and devices for evaluating a condition of a downhole component of a drillstring. Methods include estimating a value of a tool parameter of the component at at least one selected position on the drillstring; and using the estimated value to evaluate the condition of the downhole component. The estimating is done using a trained artificial neural network that receives information from at least one sensor that is positionally offset from the selected position. The method may further include creating a record representing information from estimated values of the tool parameter at the at least one selected position over time. The at least one selected position may include a plurality of positions, such as positions at intervals along the component, including substantially continuously along the component.

First claim

Opening claim text (preview).

We claim: 1. A method for evaluating a condition of a downhole component of a drillstring, the method comprising: estimating a plurality of values of a tool parameter of the component comprising at least a first value at a first selected position on the drillstring and a second value different than the first value at a second selected position on the drillstring different than the first selected position, wherein the estimating is done using a trained artificial neural network that receives information from at least one sensor responsive to the parameter, wherein each sensor of the at least one sensor is positionally offset from the first selected position and the second selected position and the parameter is estimated without information from a sensor responsive to the parameter at the first selected position and the second selected position; using at least one of the estimated plurality of values to evaluate the condition of the downhole component, wherein the condition is indicative of a likelihood of failure of the component; and making a component life management decision about the component using the condition comprising at least removing the component from service. 2. The method of claim 1 further comprising creating a record representing information from estimated values of the tool parameter at the at least one selected position over time. 3. The method of claim 1 wherein the plurality of positions comprises a plurality of positions at intervals along the component. 4. The method of claim 1 wherein the plurality of positions comprises a plurality of positions substantially continuously along the component. 5. The method of claim 1 wherein the at least one sensor is positionally offset from the selected position by at least half of the axial length of the component. 6. The method of claim 1 , wherein the information received from the at least one sensor is at least one other value of the tool parameter measured at the at least one sensor. 7. The method of claim 1 , wherein the tool parameter comprises a characteristic of a state of a downhole component as it is being used in drilling operations downhole. 8. The method of claim 1 wherein the tool parameter comprises at least one parameter selected from the group comprising: i) a vibration parameter; and ii) a temperature parameter. 9. The method of claim 1 , wherein the condition is at least one of: i) material fatigue of the component; and ii) estimated remaining useful life of the component. 10. The method of claim 1 wherein the tool parameter comprises component temperature. 11. A system for evaluating a condition of a downhole component of a drillstring in a borehole using at least one sensor on the drillstring, the system comprising: at least one processor configured to: estimate a plurality of values of a tool parameter of the component comprising at least a first value a first selected position on the drillstring and a second value of the tool parameter different than the first value at a second selected position on the drillstring different than the first selected position, wherein the estimating is done using a trained artificial neural network that receives information from at least one sensor responsive to the parameter, wherein each sensor of the at least one sensor is positionally offset from the first selected position and the second selected position and the parameter is estimated without information from a sensor responsive to the parameter at the first selected position and the second selected position use at least one of the estimated plurality of values to evaluate the condition of the downhole component, wherein the condition is indicative of a likelihood of failure of the component; and making a component life management decision about the component using the condition comprising at least removing the component from service. 12. The system of claim 11 , further comprising a drillstring configured to be conveyed into a borehole, the drillstring comprising the downhole component. 13. The system of claim 11 , further comprising a computer memory accessible to the at least one processor, wherein the at least one processor is further configured to create a record in the computer memory representing estimated values of the tool parameter at the at least one selected position over time. 14. The system of claim 11 wherein the plurality of positions comprises a plurality of positions at intervals along the component. 15. The system of claim 11 wherein the plurality of positions comprises a plurality of positions substantially continuously along the component. 16. The system of claim 11 wherein the at least one sensor is positionally offset from the selected position by at least half of the axial length of the component. 17. The system of claim 11 wherein the information received from the at least one sensor is at least one other value of the tool parameter at the at least one sensor. 18. The apparatus of claim 11 wherein the tool parameter comprises component temperature. 19. A method for evaluating a condition of a downhole component of a drillstring, the method comprising: using information from at least one sensor responsive to the parameter to estimate a value of a tool parameter of the component different from an other value of the tool parameter provided by the at least one sensor at at least one selected position on the drillstring, wherein each sensor of the at least one sensor is positionally offset from the selected position and wherein the estimating is done using a trained artificial neural network that receives the information and the parameter is estimated without information from a sensor responsive to the parameter at the at least one selected position; using the estimated value to evaluate the condition of the downhole component, wherein the condition is indicative of a likelihood of failure of the component; and making a component life management decision about the component using the condition comprising at least removing the component from service.

Assignees

Inventors

Classifications

  • Fuzzy logic, artificial intelligence, neural networks or the like · CPC title

  • E21B41/00Primary

    Equipment or details not covered by groups E21B15/00 - E21B40/00 · CPC title

  • Fixed Constructions · mapped topic

  • G01M13/00Primary

    Testing of machine parts · CPC title

  • E21B44/00Primary

    Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9857271B2 cover?
Systems, methods and devices for evaluating a condition of a downhole component of a drillstring. Methods include estimating a value of a tool parameter of the component at at least one selected position on the drillstring; and using the estimated value to evaluate the condition of the downhole component. The estimating is done using a trained artificial neural network that receives information…
Who is the assignee on this patent?
Baker Hughes Inc, Baker Hughes A Ge Co Llc
What technology area does this patent fall under?
Primary CPC classification E21B41/00. Mapped technology areas include Fixed Constructions.
When was this patent published?
Publication date Tue Jan 02 2018 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 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).