Enhancing reservoir characterization with integrated petrophysical analysis and geostatistical methods
1 Independent Researcher, Houston Texas, USA.
2 Independent Researcher; Nigeria.
3 Shell, Nigeria.
Review
Open Access Research Journal of Multidisciplinary Studies, 2024, 07(02), 168–179.
Article DOI: 10.53022/oarjms.2024.7.2.0038
Publication history:
Received on 30 April 2024; revised on 07 June 2024; accepted on 10 June 2024
Abstract:
Reservoir characterization is a critical aspect of hydrocarbon exploration and production, providing essential insights into reservoir properties, fluid behavior, and potential production performance. This review presents an overview of the application of integrated petrophysical analysis and geostatistical methods in enhancing reservoir characterization. The integration of petrophysical analysis and geostatistical methods enables a comprehensive understanding of reservoir properties and heterogeneities, leading to more accurate reservoir models and improved reservoir management strategies. Petrophysical analysis involves the interpretation of well log data, core measurements, and laboratory experiments to quantify reservoir properties such as porosity, permeability, fluid saturations, and lithology. Geostatistical methods, including variogram analysis, spatial interpolation, and stochastic simulation, are used to spatially model reservoir properties and uncertainties, integrating available data and capturing spatial variability. Key benefits of integrating petrophysical analysis and geostatistical methods include enhanced reservoir characterization, improved reservoir modeling accuracy, optimized well placement and production strategies, and reduced exploration and development risks. Case studies demonstrate the application of integrated approaches in various reservoir settings, including clastic, carbonate, and unconventional reservoirs, highlighting the effectiveness of these methods in improving reservoir understanding and performance prediction. Challenges and limitations associated with integrated petrophysical analysis and geostatistical methods include data quality and availability, uncertainty quantification, computational complexity, and model validation. Addressing these challenges requires a multidisciplinary approach, involving collaboration between geoscientists, reservoir engineers, petrophysicists, and data scientists, as well as advancements in data acquisition, processing, and modeling techniques. The integration of petrophysical analysis and geostatistical methods offers significant opportunities for enhancing reservoir characterization and improving reservoir management practices. By leveraging available data and integrating multidisciplinary expertise, operators can achieve a better understanding of reservoir behavior, optimize production strategies, and maximize hydrocarbon recovery from subsurface reservoirs. Continued research and innovation in integrated reservoir characterization techniques are essential for addressing challenges and unlocking the full potential of hydrocarbon resources in a sustainable and efficient manner.
Keywords:
Reservoir characterization; Integrated petrophysical; Geostatistical; Analysis
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0