AI-POWERED HEALTH RECOMMENDATIONS FOR POSITIVE DISPLACEMENT PUMPS IN OIL AND GAS INDUSTRIES USING CLOUD TECHNOLOGY

Abstract

ABSTRACT The system comprises of AI-Powered Health Recommendations for Positive Displacement Pumps in Oil and Gas Industries using Cloud Technology to enable real-time monitoring, predictive maintenance, and performance optimization of Positive Displacement Pumps in the Oil and Gas Industry, the HRIDPTNode (10), which is outfitted with a Raspberry Pi processor (100), GSM modem (20), Addon GPU board (30), vibration sensor (90), temperature sensor (80), accelerometer (70), torque sensor (50), HMI display (40), and power supply (60), is used to coordinate the synergy between advanced sensors, cloud technology, and AI algorithms. The system, as claimed in Claim 1, wherein this innovation's Raspberry Pi processor is used to manage communication with the cloud server and coordinate data acquisition from multiple sensors. It is a crucial part of the AI-driven maintenance and real-time monitoring of Positive Displacement Pumps in the Oil and Gas Industry. The system, as claimed in Claim 1, wherein the GSM modem built into HRIDPTNode is utilized to enable AI-driven recommendations for Positive Displacement Pump maintenance in the Oil and Gas Industry in a timely manner, guarantee continuous transmission of real-time data from sensors, enable remote monitoring, and enable seamless communication between the system and the dedicated cloud server.

Specification

Description:FIELD OF THE INVENTION
This invention relates to AI-Powered Health Recommendations for Positive Displacement Pumps in Oil and Gas Industries using Cloud Technology
BACKGROUND OF THE INVENTION
One of the biggest challenges facing the oil and gas industry is maintaining the health of Positive Displacement Pumps, which are essential components of their operational processes. Current maintenance methods often rely on scheduled inspections and responding to issues after they arise, which can lead to unplanned downtime, increased costs for operations, and decreased safety. The lack of predictive maintenance solutions and real-time monitoring hinders the industry's ability to anticipate and address probable pump failures or performance aberrations.
US8231842B2 - A positive displacement pump is equipped with a pump cylinder, a pump piston, a cylinder space, a pressure sensor, and a pressure channel. A main portion of the pressure channel extends parallel to a longitudinal axis of the pump cylinder, for providing fluidic connection between the cylinder space and the pressure sensor. In the improved alternative positive displacement pump, the main portion of the pressure channel is located inside of the pump cylinder or pump piston and extends, at least in a foremost position of the pump piston, from a cylinder bottom beyond or to an opening in the cylinder wall or pump piston.
Research Gap: Health Monitoring and health monitoring of PD Pumps in industrial Environments is the novelty of the system.
CA3076804C - Certain conditions or triggering events require preventing or throttling the discharge of a servicing fluid from a pump to a wellhead or a borehole. Powering down may not be desirable or may require a duration that allows the condition or triggering event to persist. Selectively and automatically activating one or more pressure control valves may throttle or prevent the servicing fluid from being pumped from the pump during the power down sequence or without requiring a power down sequence. Selective activation of a pressure control valve may introduce pressurized fluid into a cylinder of the pump extending a rod to force or maintain a suction valve in an open position. While the suction valve is in the open position, the stroke of the plunger may not create enough pressure to pump the servicing fluid causing the servicing fluid to flow between a fluid header and a chamber of the pump.
Research Gap: Health Monitoring and health monitoring of PD Pumps in industrial Environments is the novelty of the system.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
Through the use of artificial intelligence, cloud computing, and cutting-edge sensor technologies, this innovative system enables real-time positive displacement pump monitoring and maintenance, which is critical to the Oil and Gas Industry. By continuously collecting data on vital metrics like torque, vibrations, and temperature, the system uses AI and ML algorithms to assess the health of the pumps. The final insights are converted into practical suggestions and promptly shared with authorized staff and operators using a web dashboard and on-site HMI displays.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The HRIDPTNode invention integrates multiple hardware components and cutting-edge technology to monitor and assess the health of Positive Displacement Pumps in the Oil and Gas Industries. Fundamentally, the system makes use of a Raspberry Pi Processor as its central processing unit, which is in charge of organizing and enabling communication between other system parts. The system guarantees continuous real-time monitoring of variables like temperature fluctuations, vibrations, and torque levels. It is outfitted with sensors like vibration, temperature, accelerometer, and torque that are thoughtfully positioned to record crucial performance data. Information flows from the field to the central processing unit more easily thanks to the GSM modem that transmits the collected data to a specific cloud server.
A complex AI and ML system on the cloud server evaluates the incoming data, using historical trends and the most recent sensor readings to determine the Positive Displacement Pump's state of health. The system gains expertise in spotting early wear indicators, possible faults, or departures from ideal operating conditions using machine learning. Beyond diagnosis, the AI-driven analysis produces enlightening ideas and recommendations. These recommendations are disseminated to authorized staff and operators via a variety of platforms, namely an onsite HMI Display and a personalized web dashboard. With the help of this user interface, operators may get a thorough overview of alerts and recommendations, equipping them with the knowledge they need to decide on maintenance and operational changes.
BEST METHOD OF WORKING
1. To enable real-time monitoring, predictive maintenance, and performance optimization of Positive Displacement Pumps in the Oil and Gas Industry, the HRIDPTNode, which is outfitted with a Raspberry Pi processor, GSM modem, Addon GPU board, vibration sensor, temperature sensor, accelerometer, torque sensor, HMI display, and power supply, is used to coordinate the synergy between advanced sensors, cloud technology, and AI algorithms.
2. This innovation's Raspberry Pi processor is used to manage communication with the cloud server and coordinate data acquisition from multiple sensors. It is a crucial part of the AI-driven maintenance and real-time monitoring of Positive Displacement Pumps in the Oil and Gas Industry.
3. The GSM modem built into HRIDPTNode is utilized to enable AI-driven recommendations for Positive Displacement Pump maintenance in the Oil and Gas Industry in a timely manner, guarantee continuous transmission of real-time data from sensors, enable remote monitoring, and enable seamless communication between the system and the dedicated cloud server.
4. The Addon GPU Board, which is also integrated into the HRIDPTNode, is used to improve the system's computational capabilities. By speeding up AI algorithms and facilitating the effective processing of large, complex data sets, it helps with real-time analysis and predictive maintenance of Positive Displacement Pumps in the oil and gas sector.
5. The HRIDPTNode, which is connected to the vibration, temperature, torque, and accelerometer sensors, is used to provide comprehensive real-time data on critical parameters. This allows the AI algorithms to evaluate the state of Positive Displacement Pumps, aid in the early detection of anomalies, and provide accurate recommendations for predictive maintenance in the oil and gas industry.
6. The AI-generated alerts and recommendations are instantly accessible through the HMI Display interfaced with HRIDPTNode, which speeds up decision-making and improves the upkeep of Positive Displacement Pumps in the oil and gas sector.
7. The HRIDPTNode's Power Supply plugin is used to support continuous monitoring and data processing tasks necessary for the AI-driven maintenance and real-time assessment of Positive Displacement Pumps in the oil and gas industry. It does this by efficiently supplying electrical energy to the entire system.
ADVANTAGES OF THE INVENTION
1. In order to provide real-time monitoring, predictive maintenance, and performance optimization of Positive Displacement Pumps within the Oil and Gas Industry, the HRIDPTNode functions as the central control unit, coordinating the integration of cutting-edge sensors, cloud technology, and AI algorithms.
2. A key component of this innovation is the GSM modem, which facilitates smooth connection between the system and the specialized cloud server. It makes it easier for real-time sensor data to be transmitted continuously, allowing for remote monitoring and prompt AI-driven recommendations for Positive Displacement Pump maintenance in the oil and gas sector.
3. The torque, temperature, accelerometer, and vibration sensors work together to deliver complete real-time data on important factors. With the aid of this data, artificial intelligence algorithms will be able to precisely prescribe predictive maintenance for the oil and gas industry, identify anomalies early on, and evaluate the health of Positive Displacement Pumps.
4. The HMI Display provides operators and staff on-site with an easy-to-use interface via which they may instantly access alarms and suggestions produced by AI algorithms. This helps the Oil and Gas Industry make decisions more quickly and improves the Positive Displacement Pump maintenance procedure.
, Claims:We Claim:
1. The system comprises of AI-Powered Health Recommendations for Positive Displacement Pumps in Oil and Gas Industries using Cloud Technology to enable real-time monitoring, predictive maintenance, and performance optimization of Positive Displacement Pumps in the Oil and Gas Industry, the HRIDPTNode (10), which is outfitted with a Raspberry Pi processor (100), GSM modem (20), Addon GPU board (30), vibration sensor (90), temperature sensor (80), accelerometer (70), torque sensor (50), HMI display (40), and power supply (60), is used to coordinate the synergy between advanced sensors, cloud technology, and AI algorithms.
2. The system, as claimed in Claim 1, wherein this innovation's Raspberry Pi processor is used to manage communication with the cloud server and coordinate data acquisition from multiple sensors. It is a crucial part of the AI-driven maintenance and real-time monitoring of Positive Displacement Pumps in the Oil and Gas Industry.
3. The system, as claimed in Claim 1, wherein the GSM modem built into HRIDPTNode is utilized to enable AI-driven recommendations for Positive Displacement Pump maintenance in the Oil and Gas Industry in a timely manner, guarantee continuous transmission of real-time data from sensors, enable remote monitoring, and enable seamless communication between the system and the dedicated cloud server.
4. The system, as claimed in Claim 1, wherein the Addon GPU Board, which is also integrated into the HRIDPTNode, is used to improve the system's computational capabilities. By speeding up AI algorithms and facilitating the effective processing of large, complex data sets, it helps with real-time analysis and predictive maintenance of Positive Displacement Pumps in the oil and gas sector.
5. The system, as claimed in Claim 1, wherein the HRIDPTNode, which is connected to the vibration, temperature, torque, and accelerometer sensors, is used to provide comprehensive real-time data on critical parameters. This allows the AI algorithms to evaluate the state of Positive Displacement Pumps, aid in the early detection of anomalies, and provide accurate recommendations for predictive maintenance in the oil and gas industry.
6. The system, as claimed in Claim 1, wherein the AI-generated alerts and recommendations are instantly accessible through the HMI Display interfaced with HRIDPTNode, which speeds up decision-making and improves the upkeep of Positive Displacement Pumps in the oil and gas sector.
7. The system, as claimed in Claim 1, wherein the HRIDPTNode's Power Supply plugin is used to support continuous monitoring and data processing tasks necessary for the AI-driven maintenance and real-time assessment of Positive Displacement Pumps in the oil and gas industry. It does this by efficiently supplying electrical energy to the entire system.

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