Empowering Low-Carbon Initiatives in Oil & Gas Through Industrial IoT and Digitalization

Empowering Low-Carbon Initiatives in Oil & Gas Through Industrial IoT and Digitalization

While the vast majority (nearly 90%) of global carbon emissions stem from burning fossil fuels like oil, coal, and natural gas, transitioning away from these energy sources proves particularly challenging for industrialized nations, despite widespread acknowledgment of the necessity to do so.


Figure-1. Global energy consumption by fuel type (SourceFpe (Source: Foreign Policy in Focus)


The oil and gas industry faces a critical juncture, needing to balance operational efficiency with environmental sustainability. This paper explores the transformative potential of Industrial IoT (IIoT) and digitalization in driving the industry toward its low-carbon goals.

Lean Manufacturing and Waste Elimination

Lean manufacturing prioritizes eliminating waste throughout the production process. Waste can encompass various aspects, impacting not only production efficiency but also customer satisfaction and resource utilization.

Eight Wastes Targeted by Lean Techniques:

1.???? Defects: Defective products lead to wasted materials, labor, and time spent on finding and fixing them. Additionally, disposing of faulty items adds further costs and delays.

2.???? Overproduction: Producing more than necessary disregards customer needs and leads to excess inventory, tying up resources and potentially resulting in product obsolescence.

3.???? Waiting: Any production delays, whether due to equipment issues, material shortages, or scheduling problems, reduce output and customer satisfaction.

4.???? Not Utilizing Talent: Failing to utilize employees' skills, knowledge, and creativity hinders overall productivity and innovation.

5.???? Transportation: Unnecessary movement of materials or products within the production process adds time and cost without adding value.

6.???? Inventory: Excessive inventory requires investment in storage space, management, and handling, while potentially hindering production flow and increasing the risk of obsolescence.

7.???? Motion: Unnecessary movement of people or equipment during production creates inefficiencies and delays.

8.???? Excess Processing: Unnecessary steps or procedures in the production process add complexity, cost, and production time.


The present IIoT platforms, leveraging existing oil and gas infrastructure with hardware-agnostic solutions, possess the capability to automatically analyze various data layers, pinpoint areas of waste generation, and suggest areas for enhanced productivity.

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Figure-2. Intelligence layers that connect digital transformation to results (Source:


Lean techniques highlighted above can offer valuable tools for oil and gas companies to improve efficiency, reduce waste, and indirectly contribute to minimizing their carbon footprint. However, they should be seen as a complementary strategy within a broader framework of sustainability efforts. By leveraging IIoT and digitalization technologies, companies can achieve:

·?????? Enhanced operational efficiency and reduced emissions: Real-time monitoring, advanced analytics, and data-driven decision-making enable process optimization, reduced energy consumption, and minimized emissions.

·?????? Improve workplace energy management: Integrating power management systems provides immediate data access that helps better manage non-critical energy use. Identify abnormal patterns, validate energy, and cost savings, and uncover risks to power reliability and uptime.

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Figure-3. Example Worker & Energy Usage (Source:

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·?????? Improved environmental stewardship: Utilize IIoT for real-time emissions tracking, leak detection and mitigation, and enhanced monitoring of carbon capture and storage (CCS).

·?????? Integration with renewable energy sources: Facilitate the integration of wind, solar, and other renewables into operations, reducing reliance on fossil fuels and lowering the carbon footprint.

·?????? Enhanced transparency and reporting: Collect accurate and granular emissions data to comply with regulations and demonstrate commitment to sustainability goals.

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Figure-4. Application of Lean in the Oil and Gas Industry (Source: Linked Blog by Shivam Misra )

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Key Benefits:

·?????? Reduced greenhouse gas (GHG) emissions

·?????? Improved operational efficiency and cost savings

·?????? Enhanced worker safety and environmental protection

·?????? Transparency and accountability in sustainability efforts

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Enhancing Efficiency and Reducing Emissions

·?????? Real-time monitoring and analysis: Identify leaks, inefficiencies, and potential malfunctions, enabling prompt maintenance and reduced energy waste.

·?????? Process optimization: Optimize well production, pipeline transportation, and refining for smoother processes, lower emissions, and reduced energy use per output unit.

·?????? Predictive maintenance: Prevent unplanned shutdowns and associated emissions by analyzing sensor data to predict equipment failures.

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Advancing Methane Management

·?????? Real-time leak detection and mitigation: Pinpoint and repair methane leaks from pipelines and equipment, minimizing fugitive emissions.

·?????? Advanced monitoring of flaring: Optimize flare operations to reduce unnecessary flaring and associated GHG emissions.

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Revolutionizing Carbon Capture and Storage (CCS)

·?????? Real-time monitoring and optimization: Ensure efficient operation and minimize environmental risks by tracking and optimizing CO2 capture, transportation, and storage processes.

·?????? Data-driven decision-making: Utilize data analytics to optimize storage capacity utilization and guide decisions regarding CO2 transportation and injection strategies.


Facilitating Integration with Renewable Energy

·?????? Grid management: Manage the integration of renewable energy sources like wind and solar into oil and gas operations, reducing reliance on fossil fuels.

·?????? Data-driven optimization of hybrid systems: Efficiently manage hybrid systems combining fossil fuels with renewables, minimizing the overall carbon footprint.

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Enhancing Transparency and Reporting

·?????? Accurate emissions data collection: Facilitate transparent reporting and compliance with regulations by collecting accurate and granular emissions data from various sources.

·?????? Data-driven sustainability strategies: Develop and track progress towards sustainability goals using data insights, demonstrating commitment to environmental stewardship.


Conclusion

IIoT and digitalization empower oil and gas companies to achieve low-carbon initiatives and establish new standards for sustainability and innovation in the energy sector. By embracing these technologies, companies can navigate the energy transition and contribute to a sustainable future.

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Call to Action

Oil and gas companies are encouraged to explore the potential of IIoT and digitalization and consider strategic investments in these technologies to gain a competitive edge, meet regulatory requirements, and contribute to a sustainable energy future.

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About Kiana Analytics

Kiana's [kiana.io ] provides a hardware-agnostic platform that makes it easy to connect and manage different types of sensors, such as WiFi, Bluetooth, UWB, GPS, and cameras. This platform helps energy and manufacturing companies minimize their safety and security risks while improving their operations. Kiana's customers include large corporations in the oil and gas and manufacturing industries.

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For more information please visit: www.kiana.io or email us at [email protected]

Dr. Eyal Kaufman

CEO, Optimize quality and efficiency in manufacturing using AI Analytics technology by Automated Integration of Any Manufacturing Data

8 个月

Very interesting

Exciting strides! How do you see the integration of IIoT and digitalization shaping the future of sustainable practices in oil and gas, Nader Fathi?

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