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Abstract This paper presents a data-driven geosteering approach that integrates multi-scale resistivity inversion to improve reservoir navigation in complex clastic settings. The objective is to demonstrate how combining deep and ultra-deep resistivity data enables better mapping of sand distribution, identification of fluid boundaries, and recognition of structural and depositional features—supporting real-time decisions and optimizing well placement The methodology involved acquiring multi-depth resistivity measurements while drilling a horizontal well in a clastic reservoir. Deep and ultra-deep resistivity data were utilized in addition to using real-time 3D inversion to generate resistivity volumes around the wellbore. A multi-scale inversion workflow was applied to resolve lithological contrasts and fluid boundaries. These resistivity volumes were analyzed through cross-sectional slices and 3D geo-body visualization to support geological interpretation. The output was used to guide geosteering decisions, track sand body continuity, and update the depositional model throughout the well. The multi-scale resistivity inversion provided high-resolution resistivity volumes that clearly delineated sand bodies, shale intervals, and fluid transitions. Distinct resistivity contrasts enabled the identification of high-quality hydrocarbon-bearing sands and improved differentiation between stacked or split lobes. Geo-body modeling revealed internal sand architecture, depositional trends, and localized structural variations offering valuable insights into reservoir continuity and heterogeneity. Real-time visualization of the inversion output enabled timely trajectory decisions, allowing the well to stay within the most productive intervals. Despite complex formation behavior such as thinning sands and patchy distribution consistent geosteering aligned with inversion feedback resulted in optimized placement, achieving 100% Net-to-Gross. The approach not only enhanced reservoir contacts but also contributed to a more accurate understanding of the subsurface, providing a foundation for future field development and well planning in similar clastic environments. This paper introduces a field-validated workflow that combines multi-scale inversions with 3D resistivity visualization for real-time sand body tracking and fluid characterization in clastic reservoirs. It provides practicing engineers and geoscientists with a practical method to improve geosteering accuracy, reduce uncertainty, and enhance reservoir contact in geologically complex settings