Big drilling data analytics engine

• US 10,345,771 B2
• Filed: 05/12/2016
• Issued: 07/09/2019
• Est. Priority Date: 05/13/2015
• Status: Active Grant

• Current Assignee: Conocophillips Company (ConocoPhillips)
• Original Assignee: Conocophillips Company (ConocoPhillips)
• Inventors: Anno, Phil D., Pham, Son, Ramsay, Stacey C.
• Primary Examiner(s): Desta, Elias
• Application Number:
  US15/152,808
• Publication Number:
  US 20160333673A1
• Time in Patent Office: 1,153 Days
• CPC Class Codes: E21B 44/04 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 Class Codes: G05B 15/02 electric

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.

Claims

1. A system for rig-state determination, the system comprising:

a plurality of surface sensors on a surface of the earth and associated with a wellbore drilling operation, the plurality of surface sensors acquiring time series data, the time series data being formatted for sample and bandwidth regularization and time-corrected to provide time-synchronized data;

a processing graph of data-stream networked mathematical operators that applies continuous analytics to the time-synchronized data at least as rapidly as the time series data is acquired by the plurality of surface sensors to determine downhole dynamic conditions of a plurality of rig conditions associated with the wellbore drilling operation, a drilling dysfunction detectable from the downhole dynamic conditions of the plurality of rig conditions; and

a drilling rig having a rig-state determined from the plurality of rig conditions.

2. The system of claim 1, wherein the processing graph outputs data streams of rig control instructions and mitigate the drilling dysfunction.

3. The system of claim 2, wherein the rig control instructions are at least one selected from the group consisting of i) altering RPM, ii) altering weight-on-bit, iii) altering pump pressure, and iv) altering top-drive rotational parameters.

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

5. The system of claim 1, wherein the time series data includes at least one selected from the group consisting of i) rotary drilling measurements, ii) sliding measurements, iii) reaming measurements, iv) back reaming measurements, and v) tripping related measurements.

6. The system of claim 1, wherein the processing graph outputs data streams that are at least one selected from the group consisting of:

i) an energy loss correction of surface-derived input data streams, and ii) a weight-on-bit correction.

7. 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 on a surface of the earth and associated with a wellbore;

formatting the surface data for sample and bandwidth regularization;

time-correcting the surface data to provide isochronously sampled data from the plurality of surface sensors;

processing the isochronously sampled data from the plurality of surface sensors through a processing graph of networked mathematical operators that apply continuous analytics to the isochronously sampled data in real time to determine downhole dynamic conditions of a plurality of rig operations conditions associated with the wellbore; and

determining the rig-state from the plurality of rig operations conditions, wherein determining the rig-state comprises detection and quantification of a drilling dysfunction.

8. The process of claim 7, wherein the processing graph outputs data streams of rig control instructions to alter a rig operation and mitigate the drilling dysfunction.

9. The process of claim 8, wherein the rig control instructions are at least one of the group consisting of i) altering RPM, ii) altering weight-on-bit, iii) altering pump pressure, and iv) altering top-drive rotational parameters.

10. The process of claim 7, wherein the processing graph outputs a data stream that characterizes tortuosity of the wellbore.

11. The process of claim 7, wherein the isochronously sampled data includes at least one selected from the group consisting of i) rotary drilling measurements, ii) drill-string sliding measurements, iii) reaming measurements, iv) back reaming measurements, and v) tripping related measurements.

12. The process of claim 7, wherein the processing graph outputs data streams that are at least one selected from the group consisting of:

i) an energy loss correction of surface-derived input data streams, and ii) a weight-on-bit correction.

13. A drilling rig apparatus for drilling dysfunctions mitigation, the apparatus comprising:

a drill rig associated with a plurality of surface sensors on a surface of the earth and providing time series data to a surface-based aggregator, the time series data being formatted for sample and bandwidth regularization and time-corrected to provide time-synchronized data; and

a processing graph of data-stream networked mathematical operators that applies continuous analytics to the time-synchronized data at least as rapidly as the time series data is acquired by the plurality of surface sensors to determine downhole dynamic conditions of a plurality of rig conditions associated with a wellbore drilling operation, a drilling dysfunction determined from the plurality of rig conditions.

14. The apparatus of claim 13, wherein the processing graph outputs data streams of rig control instructions and mitigate the drilling dysfunction.

15. The apparatus of claim 14, wherein the rig control instructions are at least one of the group consisting of i) altering RPM, ii) altering weight on bit, iii) altering pump pressure, and iv) altering top-drive rotational parameters.

16. The apparatus of claim 13, wherein an output data stream of the processing graph comprises quantification of the drilling dysfunction.

17. 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 surface data from a plurality of surface sensors on a surface of the earth and associated with the wellbore drilling operation;

formatting the surface data for sample and bandwidth regularization;

time-correcting the surface data to provide synchronously sampled data from the plurality of surface sensors;

processing the synchronously sampled data from the plurality of surface sensors through a processing graph of networked mathematical operators that apply continuous analytics to the synchronously sampled data in real time to determine downhole dynamic conditions of a plurality of rig operations associated with the wellbore drilling operation;

detecting a drilling dysfunction from the plurality of rig operations conditions; and

outputting drill rig control instructions to mitigate the drilling dysfunction.