Optimal storage of load data for lifetime prediction for equipment used in a well operation
US-2018137220-A1 · May 17, 2018 · US
US11288418B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11288418-B2 |
| Application number | US-201916516348-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 19, 2019 |
| Priority date | Nov 17, 2016 |
| Publication date | Mar 29, 2022 |
| Grant date | Mar 29, 2022 |
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An example system for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation includes a sensor collecting load data of the piece of equipment and a processing device for executing computer readable instructions. The computer readable instructions include: determining a lifetime model for the piece of equipment; 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; and 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.
Opening claim text (preview).
What is claimed is: 1. 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, wherein the piece of equipment is replaced or rerun based on a lifetime estimation; 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; and determining the lifetime estimation of the piece of equipment based on the collected load data assigned to the one or more buckets of the load data spectrum and stored to the memory. 2. The system of claim 1 , 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. 3. The system of claim 1 , further comprising a communication link communicating the estimated lifetime to a surface processing device located at a surface of the earth during the well operation. 4. The system of claim 1 , wherein the piece of equipment is a multi-chip module (MCM). 5. The system of claim 1 , wherein the computer readable instructions further comprise 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. 6. The system of claim 1 , wherein the computer readable instructions further comprise compartmentalizing the memory in compartments, wherein a size of the compartments is based on one of the lifetime model and the distribution of load data. 7. The system of claim 1 , wherein the distribution of load data comprises at least one of a temperature, an acceleration, a pressure, a mechanical load, or an electrical load. 8. The system of claim 1 , wherein the computer readable instructions further comprise 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, or a formation type. 9. The system of claim 1 , wherein the determining the lifetime estimation of the piece of equipment is performed inside a bottom hole assembly. 10. The system of claim 1 , wherein the determining the lifetime estimation of the piece of equipment is performed outside a bottom hole assembly. 11. The system of claim 1 , wherein the discretizing comprises estimating a necessary size of the memory based on a given failure of the lifetime estimation.
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