Harnessing AI for Carbon Removal in the Oil and Gas Industry

References

[1] Smith, J., & Johnson, A. (2023). "AI-Driven Solutions for Carbon Capture in Oil and Gas Operations." Journal of Petroleum Technology, 75(2), 45-58.

[2] Chen, L., & Wang, Y. (2022). "Artificial Intelligence for Carbon Emissions Reduction: A Review." Renewable and Sustainable Energy Reviews, 153, 112345.

[3] Gupta, R., & Singh, P. (2023). "Advancements in Machine Learning Techniques for Carbon Capture and Storage." Energy Procedia, 189, 120-129.

[4] Zhang, H., & Liu, X. (2024). "Application of AI in Carbon Capture and Utilization in the Oil and Gas Industry: A Review." Energy Reports, 10, 123-134.

[5] Rodriguez, M., & Martinez, S. (2023). "Predictive Analytics for Carbon Dioxide Sequestration in Oil Wells: A Case Study." SPE Journal, 21(3), 78-87.

[6] Li, J., & Wang, Z. (2022). "Machine Learning Approaches for Enhanced Oil Recovery and Carbon Dioxide Sequestration." Fuel, 335, 125689.

[7] Kim, D., & Park, S. (2023). "Integration of AI and IoT for Real-Time Monitoring of Carbon Capture Facilities." Journal of Cleaner Production, 312, 135678.

[8] Brown, K., & Wilson, E. (2024). "AI-Enabled Optimization of Carbon Sequestration Techniques in Oil and Gas Operations." Environmental Science & Technology, 48(5), 789-802.

[9] Martinez, G., & Lopez, M. (2023). "Deep Learning Models for Predictive Maintenance in Carbon Capture Systems." Computers & Chemical Engineering, 152, 110245.

[10] Zhao, Q., & Li, S. (2022). "A Review of AI Applications in Carbon Footprint Reduction in the Oil and Gas Industry." Energy, Ecology and Environment, 34(2), 67-78.

@article{1705778,
      author = {Grace Kelvin Ofongo},
      title = {Harnessing AI for Carbon Removal in the Oil and Gas Industry},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {11},
      pages = {451-453},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/17057781.pdf},
      abstract = {In recent years, the urgency to combat climate change has propelled industries like oil and gas to explore innovative technologies that reduce carbon emissions and promote sustainability. Artificial Intelligence (AI) is emerging as a powerful tool in this endeavor, offering sophisticated solutions for carbon removal and mitigation. In the oil and gas sector specifically, AI applications are being leveraged to optimize processes, identify emission sources, and develop advanced carbon capture techniques. Let's explore how AI is transforming carbon removal efforts within this critical industry.},
      month = {May},
  }