Big drilling data analytics engine

Patent metadata

Field	Value
Publication number	US-2016333673-A1
Application number	US-201615152808-A
Country	US
Kind code	A1
Filing date	May 12, 2016
Priority date	May 13, 2015
Publication date	Nov 17, 2016
Grant date	—

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

1 . A system for determining a rig-state of a drilling rig during a wellbore drilling operation, the system comprising:
a. a computer comprising a memory and a processor; b. 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 time-synchronized data; c. 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 d. determining a rig-state from the plurality of rig conditions.

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 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.

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 acquired time series data input to the processing graph are 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.

7 . 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.

8 . A process for determining a rig-state of a drill rig during a wellbore drilling operation, the process comprising:
a. acquiring data from a plurality of sensors associated with a wellbore; b. formatting the acquired data for sample and bandwidth regularization; c. time-correcting the data to provide isochronously sampled data from the plurality of sensors; d. processing the acquired data through a processing graph of networked mathematical operators that apply continuous analytics to the data at least as rapidly as the data are acquired to determine dynamic conditions of a plurality of rig operations associated with the wellbore; and e. determining a rig-state from the plurality of rig operations conditions.

9 . The process of claim 8 wherein determining a 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 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.

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 acquired data input to the processing graph are 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.

14 . The process of claim 8 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.

15 . A drilling rig apparatus for mitigating drilling dysfunctions, where the apparatus comprises:
a. a drill rig associated with a plurality of sensors providing time series data to a surface-based aggregator wherein the data are formatted for sample and bandwidth regularization and time-corrected to provide time-synchronized data; b. a computer comprising a memory and a processor; c. a processing graph of data-stream networked mathematical operators that applies continuous analytics at least as rapidly as the time-series are acquired to determine dynamic conditions of a plurality of rig conditions associated with wellbore drilling operation; and d. detecting a drilling dysfunction 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 detected drilling dysfunction.

17 . The apparatus of claim 16 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.

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

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

20 . A computer program product embodied in non-transitory computer readable media, the computer program product adapted to execute a process to mitigate a drilling dysfunction during a wellbore drilling operation, the process comprising: acquiring data from a plurality of sensors associated with a wellbore drilling operation; formatting the acquired data for sample and bandwidth regularization; time-correcting the data to provide synchronously sampled data from the plurality of sensors; processing the acquired data through a processing graph of networked mathematical operators that apply continuous analytics to the data at least as rapidly as the data are acquired to determine dynamic conditions of a plurality of rig operations associated with the wellbore; detecting a drilling dysfunction from the plurality of rig operations conditions; and outputting drill rig control instructions to mitigate the detected drilling dysfunction.

Assignees

• Conocophillips Co

Inventors

• Anno Phil D
• Pham Son
• Ramsay Stacey C

Classifications

• G05B15/02 Primary

  electric · CPC title

• 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

• G05B2219/45208

  Long, deep drill, with drill, bore diameter small relative to length, in pipes · CPC title

• E21B41/0092 Primary

  Fixed Constructions · mapped topic

• E21B7/00

  Special methods or apparatus for drilling · CPC title