Nothing Special   »   [go: up one dir, main page]

Aditama et al., 2022 - Google Patents

Development of an Artificial Intelligence-Based Well Integrity Monitoring Solution

Aditama et al., 2022

Document ID
4054079957756725616
Author
Aditama P
Koziol T
Dillen D
Publication year
Publication venue
Abu Dhabi International Petroleum Exhibition and Conference

External Links

Snippet

The question of how to safeguard well integrity is one of the most important problems faced by oil and gas companies today. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), many companies explore new technologies to improve well integrity and …
Continue reading at onepetro.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • G06N5/025Extracting rules from data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30067File systems; File servers
    • G06F17/30129Details of further file system functionalities
    • G06F17/30144Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
Shoeibi Omrani et al. Improving the accuracy of virtual flow metering and back-allocation through machine learning
Akinsete et al. Leak detection in natural gas pipelines using intelligent models
Alouhali et al. Drilling through data: automated kick detection using data mining
Colombo et al. Regression-based finite element machines for reliability modeling of downhole safety valves
Patri et al. Predicting failures from oilfield sensor data using time series shapelets
Aditama et al. Development of an Artificial Intelligence-Based Well Integrity Monitoring Solution
Ambade et al. Electrical submersible pump prognostics and health monitoring using machine learning and natural language processing
Jansen van Rensburg Usage of artificial intelligence to reduce operational disruptions of ESPs by implementing predictive maintenance
Liang et al. Data-driven digital twin method for leak detection in natural gas pipelines
Silvia et al. Case study: predicting electrical submersible pump failures using artificial intelligence and physics-based hybrid models
Giunta et al. Digital transformation of historical data for advanced predictive maintenance
Silvia et al. Case Study: Predicting Electrical Submersible Pump Failures Using Artificial Intelligence
Liu et al. Failure prediction for rod pump artificial lift systems
Devshali et al. Predicting ESP failures Using Artificial Intelligence for Improved Production Performance in One of the Offshore Fields in India
Shekhawat et al. Well Intervention Opportunity Management Using Artificial Intelligence and Machine Learning
Mata et al. Expert Advisory System for Production Surveillance and Optimization Assisted by Artificial Intelligence
Adesanwo et al. Advanced analytics for data-driven decision making in electrical submersible pump operations management
B Ahmad et al. Samarang Integrated Operations (IO): Well Performance Workflows Enable Continuous Well Status and Performance Monitoring
Poort et al. An automated diagnostic analytics workflow for the detection of production events-application to mature gas fields
Dachanuwattana et al. The deployment of deep learning models for performance optimization and failure prevention of electric submersible pumps
Schnabl et al. Data Driven Virtual Flow Metering: Leveraging AI and Edge Computing for Continuous Multiphase Flow Measurement
Andrade Marin et al. Real Time Implementation of ESP Predictive Analytics-Towards Value Realization from Data Science
Silvia Case Study: Automated Recommendations to Increase Run Life of the Electrical Submersible Pumps (ESPs) Using Machine Learning
Pasman et al. Methods to assess and manage process safety in digitalized process system
Saeed et al. Semantic web technologies for external corrosion detection in smart oil fields