Integration of geological and geophysical data for predicting the sedimentary environment of Oligocene formations in the Northeastern Cuu Long Basin

Abstract

This study focuses on the synthesis and analysis of an extensive array of geological and geophysical data to deepen understanding of the depositional environments of Oligocene formations in the northeastern Cuu Long Basin, a region of significant interest for hydrocarbon exploration. Major oil and gas fields, including Su Tu Vang and Ruby, are central to ongoing and future exploration efforts, underscoring the importance of accurately delineating sedimentary distribution patterns within both structural and stratigraphic traps. Our approach integrates multiple datasets such as paleontological, lithological, well-log, and seismic data which enable us to classify the Oligocene sediments into three primary depositional environments: fluvial plain, marginal lacustrine, and lacustrine. Each environment is associated with specific sedimentary facies that influence key reservoir properties, includinghydrocarbon trapping potential, fluid dynamics, and overall reservoir quality. Understanding these facies is essential for evaluating hydrocarbon-bearing intervals and optimizing field development strategies.In addition, a detailed spatial and temporal analysis of the sedimentary units F, E, D Lower, and D Upper was conducted, revealing evolutionary changes in depositional conditions over time. These insights provide crucial information about the stratigraphic framework and depositional history of the northeastern Cuu Long Basin, contributing to more precise geological models that enhance exploration targeting and production efficiency. Ultimately, this study underscores the value of integrating geological andgeophysical approaches to optimize drilling locations, improve hydrocarbon recovery, and advance reservoir management in the Cuu Long Basin. The comprehensive methodology and insights gained from this research provide a valuable foundation for applying these integrated approaches to similar basins, thereby improving the accuracy of geological models and the efficiency of hydrocarbon recovery efforts