Big drilling data analytics engine

Patent metadata

Field	Value
Publication number	US-10788801-B2
Application number	US-201916418345-A
Country	US
Kind code	B2
Filing date	May 21, 2019
Priority date	May 13, 2015
Publication date	Sep 29, 2020
Grant date	Sep 29, 2020

Abstract

The invention relates to systems, processes and apparatuses for determining a rig-state of a drilling rig during a wellbore drilling operation and detecting and mitigating drilling dysfunctions. These systems, processes and apparatuses provide a computer with a memory and a processor, a plurality of sensors associated with a wellbore drilling operation for acquiring time series data wherein the data are formatted for sample and bandwidth regularization and time-corrected to provide substantially time-synchronized data, a processing graph of data-stream networked mathematical operators that applies continuous analytics to the data at least as rapidly as the data are acquired to determine dynamic conditions of a plurality of rig conditions associated with the wellbore drilling operation and determining a rig-state from the plurality of rig conditions.

First claim

The invention claimed is:

1. A system for rig-state determination for a drilling rig during a wellbore drilling operation, the system comprising:
a plurality of surface sensors associated with the wellbore drilling operation and acquiring time series data, time-synchronized data being generated from the time series data; and
a processing graph of data-stream networked mathematical operators that applies continuous analytics to the time-synchronized data generated from the time series data acquired by the plurality of surface sensors to determine downhole dynamic conditions of a plurality of rig conditions associated with the wellbore drilling operation.

2. The system of claim 1 wherein an output data stream of the processing graph comprises detection and quantification of a drilling dysfunction.

3. The system of claim 1 wherein the processing graph outputs data streams of rig control instructions for the purpose of mitigating a drilling dysfunction.

4. The system of claim 3 wherein the rig control instructions include one or more of: altering RPM, altering weight-on-bit, altering pump pressure, and altering top-drive rotational parameters.

5. The system of claim 1 wherein the processing graph outputs a data stream that characterizes tortuosity of a wellbore.

6. The system of claim 1 wherein the time series data includes one or more of rotary drilling measurements, sliding measurements, reaming measurements, back reaming measurements, and tripping related measurements.

7. The system of claim 1 wherein the processing graph outputs data streams including one or more of: an energy loss correction of surface-derived input data streams and a weight-on-bit correction.

8. A process for determining a rig-state of a drill rig during a wellbore drilling operation, the process comprising:
acquiring surface data from a plurality of surface sensors associated with a wellbore;
processing time-synchronized data generated from the surface data acquired from the plurality of surface sensors through a processing graph of networked mathematical operators that apply continuous analytics to the time-synchronized data to determine dynamic conditions of a plurality of rig operations associated with the wellbore; and
determining the rig-state from the plurality of rig operations conditions.

9. The process of claim 8 wherein determining the rig-state further comprises detection and quantification of a drilling dysfunction.

10. The process of claim 8 wherein the processing graph outputs data streams of rig control instructions to alter a rig operation for the purpose of mitigating a drilling dysfunction.

11. The process of claim 10 wherein the rig control instructions including one or more of altering RPM, altering weight-on-bit, altering pump pressure, and altering top-drive rotational parameters.

12. The process of claim 8 wherein the processing graph outputs a data stream that characterizes the tortuosity of a wellbore.

13. The process of claim 8 wherein the time-synchronized data includes one or more of rotary drilling measurements, drill-string sliding measurements, reaming measurements, back reaming measurements, and tripping related measurements.

14. The process of claim 8 wherein the processing graph outputs data streams including one or more of: an energy loss correction of surface-derived input data streams and a weight-on-bit correction.

15. A drilling rig apparatus for drilling dysfunctions mitigation, the apparatus comprising:
a drill rig associated with a plurality of surface sensors providing time series data to a surface-based aggregator, time-synchronized data being provided from the time series data to determine downhole dynamic conditions of a plurality of rig conditions associated with a wellbore drilling operation using a processing graph of data-stream networked mathematical operators that applies continuous analytics, a drilling dysfunction of the drill rig being detectable from the plurality of rig conditions.

16. The apparatus of claim 15 wherein the processing graph outputs data streams of rig control instructions for the purpose of mitigating the drilling dysfunction.

17. The apparatus of claim 16 wherein the rig control instructions include one or more of altering RPM, altering weight on bit, altering pump pressure, and altering top-drive rotational parameters.

18. The apparatus of claim 15 wherein an output data stream of the processing graph comprises quantification of drilling dysfunction.

19. The apparatus of claim 15 wherein the processing graph outputs data streams of rig control instructions for the purpose of mitigating the drilling dysfunction.

20. A computer program product embodied in non-transitory computer readable media, the computer program product adapted to execute a process for drilling dysfunction mitigation during a wellbore drilling operation, the process comprising:
acquiring data from a plurality of surface sensors associated with the wellbore drilling operation; and
processing the data through a processing graph of networked mathematical operators that apply continuous analytics to the data to determine downhole dynamic conditions of a plurality of rig operations associated with the wellbore drilling operation.

Assignees

• Conocophillips Co

Inventors

• Anno Phil D
• Pham Son
• Ramsay Stacey C

Classifications

• E21B44/04 Primary

  in response to the torque of the drive {; Measuring drilling torque (E21B44/06 takes precedence; measuring stresses in a well bore pipe E21B47/007)} · CPC title

• G05B15/02 Primary

  electric · CPC title