Big drilling data analytics engine
US-2016333673-A1 · Nov 17, 2016 · US
US10900341B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10900341-B2 |
| Application number | US-201615752414-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 27, 2016 |
| Priority date | Aug 14, 2015 |
| Publication date | Jan 26, 2021 |
| Grant date | Jan 26, 2021 |
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Official abstract text for this publication.
A system can include a processor; memory accessible by the processor; a network interface; and processor-executable instructions stored in the memory to instruct the system where the instructions include instructions to receive time series data associated with a borehole; compute a similarity metric for at least a portion of the time series data with respect to other time series data for the borehole; and analyze the similarity metric with respect to at least one operation associated with the borehole.
Opening claim text (preview).
What is claimed is: 1. A system comprising: a processor; memory accessible by the processor; a network interface; and processor-executable instructions stored in the memory to instruct the system wherein the instructions comprise instructions to: receive time series data associated with a borehole; compute a similarity metric for at least a portion of the time series data with respect to other time series data for the borehole, wherein the similarity metric comprises a statistic, and wherein the statistic comprises one or both of a box plot statistic and a histogram plot statistic; and analyze the similarity metric with respect to at least one operation associated with the borehole. 2. The system of claim 1 comprising instructions to match at least a portion of the time series data to at least a portion of the other time series data based at least in part on the similarity metric. 3. The system of claim 1 wherein the time series data comprises measured depth with respect to time. 4. The system of claim 1 wherein the time series data and the other time series data are from different sources. 5. The system of claim 1 wherein the similarity metric comprises a Euclidean distance based similarity metric. 6. The system of claim 1 wherein the instructions to compute comprise instructions to shift in time. 7. The system of claim 1 wherein the instructions to compute comprise instructions to filter. 8. The system of claim 1 comprising instructions to control a field operation with respect to the borehole based at least in part on the analysis of the similarity metric. 9. The system of claim 8 wherein the field operation comprises a drilling operation, a completions operation, a fracturing operation, an injection operation or a production operation. 10. The system of claim 1 wherein the time series data comprise surface condition data, downhole condition data or surface condition data and downhole condition data. 11. A method comprising: receiving time series data from a first source associated with an operation for a borehole; receiving time series data from a second source associated with an operation for the borehole; computing a similarity metric based at least in part on a portion of the time series data from the first source and based at least in part on a portion of the time series data from the second source, wherein the similarity metric comprises a statistic, and wherein the statistic comprises one or both of a box plot statistic and a histogram plot statistic; and matching at least a portion of the time series data from the first source to at least a portion of the time series data from the second source based at least in part on the similarity metric. 12. The method of claim 11 wherein the operation comprises a drilling operation. 13. The method of claim 12 wherein the matching comprises associating data. 14. The method of claim 12 comprising receiving time series data from a third source. 15. The method of claim 12 wherein at least one of the sources comprises a database. 16. The method of claim 15 wherein the database comprises a plurality of sets of time series data. 17. One or more computer-readable media that comprise processor-executable instructions wherein the instructions comprise instructions executable to instruct a computing device to: receive time series data associated with a borehole; compute a similarity metric for at least a portion of the time series data with respect to other time series data for the borehole, wherein the similarity metric comprises a statistic, and wherein the statistic comprises one or both of a box plot statistic and a histogram plot statistic; and match at least a portion of the time series data to at least a portion of the other time series data based at least in part on the similarity metric. 18. The one or more computer-readable media of claim 17 comprising instructions executable to instruct the computing device to associate the matched data.
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
Special methods or apparatus for drilling · CPC title
Matching criteria, e.g. proximity measures · CPC title
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 title
Analysing data · CPC title
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