Optimal storage of load data for lifetime prediction for equipment used in a well operation

• US 10,380,280 B2
• Filed: 11/17/2016
• Issued: 08/13/2019
• Est. Priority Date: 11/17/2016
• Status: Active Grant

• Current Assignee: Baker Hughes Incorporated (Baker Hughes Company)
• Original Assignee: Baker Hughes, a GE Company, LLC (Baker Hughes Company)
• Inventors: Herbig, Christian, Hohl, Andreas, Kueck, Armin, Neubert, Michael, Reckmann, Hanno
• Primary Examiner(s): Shah, Kamini S
• Assistant Examiner(s): Ford, Stephen D.
• Application Number:
  US15/354,279
• Publication Number:
  US 20180137220A1
• Time in Patent Office: 999 Days
• CPC Class Codes: E21B 44/00 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 Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06F 2111/10 Numerical modelling
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

Examples of techniques for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation are disclosed. In one example implementation according to aspects of the present disclosure, a method may include: using a lifetime model for the piece of equipment used in the well operation; discretizing, by a processing device, a load data spectrum into one or more buckets, the one or more buckets having a bucket size, wherein the bucket size of at least one bucket is based on one of the lifetime model and a distribution of load data; collecting load data of the piece of equipment; assigning, by the processing device, the collected load data to the one or more buckets of the load data spectrum; and storing, by the processing device, the collected load data assigned to the one or more buckets to a memory.

Claims

1. A method for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation, the method comprising:

using a lifetime model for the piece of equipment used in the well operation;

calculating, by a processing device, a bucket size using one of the lifetime model and a distribution of load data;

discretizing, by the processing device, a load data spectrum into one or more buckets using the calculated bucket size;

collecting load data of the piece of equipment;

assigning, by the processing device, the collected load data to the one or more buckets of the load data spectrum;

storing, by the processing device, the collected load data assigned to the one or more buckets to a memory;

determining, by the processing device, a lifetime estimation of the piece of equipment based on the load data assigned to the one or more buckets of the load data spectrum and stored to the memory; and

replacing or rerunning the piece of equipment based on the lifetime estimation.

2. The method of claim 1, wherein assigning comprises determining a distribution of load data in the one or more buckets.

3. The method of claim 1, wherein using the lifetime model comprises using at least one of laboratory tests, field tests, or modeling approaches.

4. The method of claim 1, further comprising updating one of the lifetime model, updating the distribution of load data, and updating the bucket size for the load data spectrum for the piece of equipment.

5. The method of claim 4, wherein updating comprises minimizing the failure of the lifetime estimation of a piece of equipment.

6. The method of claim 1, further comprising compartmentalizing the memory in compartments, wherein the size of the compartments is based on one of the lifetime model and the distribution of load data.

7. The method of claim 1, wherein the distribution of load data comprises at least one of a temperature, an acceleration, a pressure, a mechanical load, and an electrical load.

8. The method of claim 1, further comprising filtering the distribution of load data by at least one of a geographic region, a piece of equipment type, a bottom hole assembly type, a drilling bit type, and a formation type.

9. The method of claim 1, wherein storing comprises using a memory located in a bottom hole assembly used in a drilling operation.

10. The method of claim 1, wherein the determining is performed inside a bottom hole assembly.

11. The method of claim 1, wherein the determining is performed outside a bottom hole assembly.

12. The method of claim 1, wherein discretizing comprises estimating a necessary size of the memory based on a given failure of the lifetime estimation.

13. The method of claim 1, further comprising communicating the determined lifetime estimation to a processing device located at a surface of the earth.

14. A method for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation, the method comprising:

using a lifetime model for the piece of equipment used in the well operation;

discretizing, by a processing device, a load data spectrum into one or more buckets, the one or more buckets having a bucket size, wherein the bucket size of at least one bucket is based on one of the lifetime model and a distribution of load data;

collecting load data of the piece of equipment;

assigning, by the processing device, the collected load data to the one or more buckets of the load data spectrum; and

storing, by the processing device, the collected load data assigned to the one or more buckets to a memory,

wherein the bucket size of one or more of the buckets varies corresponding to a probability density function.

15. A system for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation, the system comprising:

a sensor collecting load data of the piece of equipment; and

a processing device for executing computer readable instructions, the computer readable instructions comprising;

determining a lifetime model for the piece of equipment used in the well operation;

calculating a bucket size using one of the lifetime model and a distribution of load data;

discretizing a load data spectrum into one or more buckets using the calculated bucket size;

assigning the collected load data to the one or more buckets of the load data spectrum;

storing the collected load data assigned to the one or more buckets to a memory;

determining a lifetime estimation of the piece of equipment based on the load data assigned to the one or more buckets of the load data spectrum and stored to the memory; and

replacing or rerunning the piece of equipment based on the lifetime estimation.

16. The system of claim 15, wherein the memory is in the piece of equipment and the load data are collected at the piece of equipment inside a bottom hole assembly.

17. The system of claim 15, further comprising a communication link communicating the estimated lifetime to a surface during the well operation.

18. The system of claim 15, wherein the piece of equipment is a multi-chip module (MCM).