17959039. ADJUSTING OIL AND GAS PRODUCTION BASED ON CARBON ENVIRONMENTAL IMPACT simplified abstract (Saudi Arabian Oil Company)
Contents
- 1 ADJUSTING OIL AND GAS PRODUCTION BASED ON CARBON ENVIRONMENTAL IMPACT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ADJUSTING OIL AND GAS PRODUCTION BASED ON CARBON ENVIRONMENTAL IMPACT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ADJUSTING OIL AND GAS PRODUCTION BASED ON CARBON ENVIRONMENTAL IMPACT
Organization Name
Inventor(s)
Maher Hamed Alerwi of Dhahran (SA)
Christian Canto Maya of Dhahran (SA)
Layan Alaeddin Alsharif of Dhahran (SA)
Nada Ibrahim Alruwaii of Tarut (SA)
Hamad Al Saiari of Al Khobar (SA)
ADJUSTING OIL AND GAS PRODUCTION BASED ON CARBON ENVIRONMENTAL IMPACT - A simplified explanation of the abstract
This abstract first appeared for US patent application 17959039 titled 'ADJUSTING OIL AND GAS PRODUCTION BASED ON CARBON ENVIRONMENTAL IMPACT
Simplified Explanation
The present disclosure describes methods and systems for determining carbon environmental impact for oil and gas pipeline leakages. One computer-implemented method includes determining an amount of Equivalent Carbon Dioxide (ECO2) associated with a pipeline leak in a hydrocarbon reservoir, determining a probability of failure of the pipeline leak, determining an environmental consequence factor of the pipeline leak, determining a severity factor of the pipeline leak based on the amount of ECO2, the probability of failure, or the environmental consequence factor, and outputting the severity factor in a user interface.
- Determining carbon environmental impact for oil and gas pipeline leakages
- Calculating Equivalent Carbon Dioxide (ECO2) associated with a pipeline leak
- Assessing probability of failure of the pipeline leak
- Evaluating environmental consequence factor of the pipeline leak
- Determining severity factor based on ECO2 amount, probability of failure, or environmental consequence factor
- Displaying severity factor in a user interface
Potential Applications
This technology can be applied in the oil and gas industry to assess the environmental impact of pipeline leakages and prioritize maintenance and repair efforts.
Problems Solved
This technology helps in quantifying the carbon environmental impact of pipeline leakages, allowing for better decision-making and resource allocation for mitigation strategies.
Benefits
- Improved understanding of the environmental consequences of pipeline leakages - Enhanced ability to prioritize maintenance and repair activities - Reduction in carbon emissions and environmental damage
Potential Commercial Applications
"Carbon Environmental Impact Assessment for Oil and Gas Pipeline Leakages" can be used by oil and gas companies, environmental consulting firms, and regulatory agencies to monitor and manage the environmental impact of pipeline infrastructure.
Possible Prior Art
One possible prior art could be traditional methods of assessing pipeline leakages based on physical inspections and historical data, without considering the carbon environmental impact specifically.
Unanswered Questions
== How does this technology compare to existing methods of assessing pipeline leakages? This article does not provide a direct comparison with traditional methods of assessing pipeline leakages based on physical inspections and historical data.
== What are the limitations of this technology in accurately determining the severity of pipeline leakages? The article does not address any potential limitations or challenges in accurately determining the severity of pipeline leakages using this technology.
Original Abstract Submitted
The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for determining carbon environmental impact for oil and gas pipeline leakages. One computer-implemented method includes: determining, by one or more hardware processors, an amount of Equivalent Carbon Dioxide (ECO2) associated with a pipeline leak in a hydrocarbon reservoir; determining, by one or more hardware processors, a probability of failure of the pipeline leak in the hydrocarbon reservoir; determining, by one or more hardware processors, an environmental consequence factor of the pipeline leak in the hydrocarbon reservoir; determining, by one or more hardware processors, a severity factor of the pipeline leak in the hydrocarbon reservoir based on at least one of the amount of ECO2, the probability of failure, or the environmental consequence factor; and outputting, by one or more hardware processors, the severity factor in a user interface.
