The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 07, 2025

Filed:

Mar. 16, 2020
Applicant:

Landmark Graphics Corporation, Houston, TX (US);

Inventors:

Keshava Rangarajan, Sugar Land, TX (US);

Shashi Dande, Spring, TX (US);

Rohan Lewis, Middleton, MA (US);

Siddhartha Kazuma Rangarajan, Sugar Land, TX (US);

Aditya Chemudupaty, Pearland, TX (US);

Assignee:

Landmark Graphics Corporation, Houston, TX (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 19/042 (2006.01);
U.S. Cl.
CPC ...
G05B 19/042 (2013.01); G05B 2219/40573 (2013.01);
Abstract

A system for autonomous operation and management of oil and gas fields includes at least one autonomous vehicle. The system also includes a processor communicatively couplable to the plurality of autonomous vehicles and a non-transitory memory device including instructions that are executable by the processor to cause the processor to perform operations. The operations include receiving field analytics data of an oil and gas field and producing at least one hydrocarbon field model based on the field analytics data. Additionally, the operations include deploying the at least one hydrocarbon field model to a sensor trap appliance using the at least one autonomous vehicles and collecting well sensor data from the sensor trap appliance. Further, the operations include detecting an anomaly using the at least one hydrocarbon field model and the well sensor data and triggering an operational process based on detecting the anomaly.


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