Sustainability in reservoir management: A conceptual approach to integrating green technologies with data-driven modeling
Abstract
Sustainability in reservoir management is critical as the energy industry grapples with balancing hydrocarbon recovery and environmental responsibility. This review explores a conceptual framework that integrates green technologies, such as carbon capture, utilization, and storage (CCUS) and renewable energy, with data-driven reservoir modeling. The framework focuses on optimizing reservoir performance while minimizing environmental impacts, providing a pathway for more sustainable hydrocarbon extraction practices. By incorporating advanced te (Abrams, 1993)chnologies like CCUS, reservoirs can serve dual purposes: enhancing oil recovery and sequestering CO2, thereby reducing carbon footprints. Additionally, renewable energy sources, such as wind and solar, can be leveraged to power operations, significantly lowering greenhouse gas emissions during extraction. Data-driven modeling, including machine learning and real-time monitoring, plays a key role in optimizing these sustainable technologies. Predictive analytics allow for more accurate forecasting of reservoir performance and environmental impacts, while adaptive models ensure that operations can dynamically adjust to new data, achieving sustainability goals without compromising resource recovery. The integration of water management technologies further enhances the framework by reducing water waste and managing the ecological footprint of reservoir activities. This review highlights the theoretical implications of this integrated approach, offering new perspectives on balancing short-term production objectives with long-term environmental sustainability. It proposes that by leveraging data-driven models in conjunction with green technologies, reservoir management can evolve towards a more sustainable, responsible practice that aligns with both economic and environmental goals. The framework presented offers valuable insights for industry leaders and policymakers, advocating for a shift in how hydrocarbon reservoirs are managed to meet future energy needs while addressing pressing climate challenges.
How to Cite This Article
Peter Ifechukwude Egbumokei, Ikiomoworio Nicholas Dienagha, Wags Numoipiri Digitemie, Ekene Cynthia Onukwulu, Olusola Temidayo Oladipo (2024). Sustainability in reservoir management: A conceptual approach to integrating green technologies with data-driven modeling . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(5), 1003-1013. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.5.1003-1013