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Operational petrophysics has significantly evolved through theoretical advancements, enhancing the accuracy and efficiency of reservoir surveillance. This review paper explores the foundational concepts of petrophysics, including key parameters such as porosity, permeability, and fluid saturation, and examines the theoretical models and advancements that have shaped modern practices. It highlights the impact of innovative tools and technologies, such as digital rock physics, advanced well logging, and real-time monitoring systems, on improving data accuracy and resolution. The paper also discusses emerging trends, including the integration of artificial intelligence and machine learning, and addresses the challenges and limitations facing the field, such as high costs and data quality issues. Recommendations for future research are provided to address these challenges and enhance the field's capabilities. By summarizing the advancements and ongoing challenges, this paper underscores the significance of theoretical progress in optimizing reservoir management and ensuring efficient hydrocarbon recovery. Keywords: Operational Petrophysics, Reservoir Surveillance, Digital Rock Physics, Real-time Monitoring, Machine Learning, Data Accuracy.
Iriogbe et al. (Thu,) studied this question.