Intelligent mobile oilfield analytics platform

Patent metadata

Field	Value
Publication number	US-12236686-B2
Application number	US-202117501792-A
Country	US
Kind code	B2
Filing date	Oct 14, 2021
Priority date	Oct 14, 2020
Publication date	Feb 25, 2025
Grant date	Feb 25, 2025

Abstract

A distributed monitoring and analytics system is configured to automatically monitor conditions in a remote oil field. The distributed monitoring and analytics system generally includes one or more mobile monitoring units that each includes a vehicle, a sensor package within the vehicle that is configured to produce one or more sensor outputs as the mobile monitoring unit traverses the remote oil field, and an onboard computer configured to process the output from the sensor package. The sensor package can include any number of sensors, including a camera that outputs a video signal for computer vision analysis and a gas detector that outputs a gas detection signal based on the detection of fugitive gas emissions within the remote oil field.

First claim

What is claimed is:

1. A distributed monitoring and analytics system for use in monitoring conditions in a remote location, the distributed monitoring and analytics system comprising:
a vehicle configured to transport people and equipment in the remote location;
a sensor package installed within the vehicle and configured to produce one or more sensor outputs as the vehicle traverses the remote location, wherein the sensor package comprises:
a gas detector configured to detect the presence of fugitive emissions in the remote location;
one or more cameras; and
a location identifier; and

an onboard computer inside the vehicle and configured to process the output from the sensor package, wherein the onboard computer is configured to:
automatically process and identify image output from the one or more cameras using machine learning algorithms and a database of known object types in the remote location;
aggregate the output from the sensor package to predict the source and rate of a fugitive emission in the remote location;
validate the source of the fugitive emission in the remote location using the output from the one or more cameras; and
identify the type of equipment leaking at the source of the fugitive emission by determining an Emission Factor based on the rate of the fugitive emission and the output from the one or more cameras, and correlating the determined Emission Factor with the type of equipment present at the source of the fugitive emission.

2. The distributed monitoring and analytics system of claim 1 , wherein the sensor package further comprises weather sensors for observing local weather conditions surrounding the vehicle.

3. A distributed monitoring and analytics system for use in monitoring conditions in a remote oil field, the distributed monitoring and analytics system comprising a plurality of mobile monitoring units that each comprises:
a vehicle;
a sensor package within the vehicle that is configured to produce one or more sensor outputs as the mobile monitoring unit traverses the remote oil field, wherein the sensor package comprises:
a camera that outputs a video signal for computer vision analysis; and
a gas detector that outputs a gas detection signal based on the detection of fugitive gas emissions within the remote oil field; and

an onboard computer configured to process the output from the sensor package, wherein the onboard computer is configured to:
predict the rate of a fugitive emission using the one or more sensor outputs;
validate a source of the fugitive emission in the remote oil field using the one or more sensor outputs;
identify a type of equipment at the source of the fugitive emission that is responsible for the fugitive emission under a leak source category using the rate of the fugitive emission and the source of the fugitive emission in the remote oil field, wherein the leak source category represents the type of equipment for the source of the fugitive emission; and

wherein each of the plurality of mobile monitoring units is configured to automatically identify using computer vision industrial activities taking place within the remote oil field.

4. The distributed monitoring and analytics system of claim 3 , wherein the mobile monitoring unit is configured to automatically identify specific companies operating within the remote oil field using computer vision analysis and video signals generated by one or more of the mobile monitoring units.

5. The distributed monitoring and analytics system of claim 3 , wherein the onboard computer of one or more of the mobile monitoring units is configured to use a combination of signals produced by the camera and gas detector and observed weather conditions to automatically determine the source of a fugitive gas emission within the remote oil field.

Assignees

• Baker Hughes Oilfield Operations Llc

Inventors

• Westerheide John
• Sharber Dustin
• Potts Jeffrey
• Joshi Mahendra
• Ge Xiaoqing
• Van Dam Jeremy

Classifications

• G06F18/214

  Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06F18/25

  Fusion techniques · CPC title

• G06V20/40

  in video content (extracting overlay text G06V20/62; video retrieval G06F16/70; processing of video elementary streams in video servers H04N21/234; processing of video elementary streams in video clients H04N21/44) · CPC title

• G06T7/0004

  Industrial image inspection · CPC title

• G06V20/52

  Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title