A crucial role that significantly affects carbonate field development for hydrocarbon and carbon sequestration (CCS) projects is reducing uncertainty in rock type prediction. The carbonate reservoirs in Central Luconia Province, Malaysia, are significant economic worldwide reservoirs and are currently considered excellent candidates for Carbon Storage containers. The nature of these carbonate rock properties is visible and notably distinguishable at the core scale. To characterize significant petrophysical and geological factors of the distribution of the rock properties in the E11 carbonate build-up, this work proposes a sequence of processes (workflow) for obtaining spatial information about the organization using Kohonen Self-organizing maps. This work highlights the significant geological and petrophysical constraints on the distribution of rock properties in the E11 field. Using self-organizing maps, the predicted rock types were propagated among wells with no core available. Using this workflow, multiscale data is categorized according to "patterns". The phases include Phase 1: Detailed core description, Phase 2: Microscope sections description, Phase 3: Well logs analysis, Phase 4: Well logs analysis, and Phase 4: Self-organizing maps using IPSOM module in Techlog software. Considering the stratigraphic organization, juxtaposition, and proportions, the anticipated rock type closely resembles the rock types identified by core description manually. The results allow a comprehensive understanding of flow behavior in carbonate tight and reservoir rock types. Copyright © 2023, International Petroleum Technology Conference.