We study the processes and conditions that control the formation of dolomite in carbonate rocks. Understanding dolomitization helps reveal fluid–rock interactions, diagenetic pathways, and their impact on reservoir quality. This research provides insights into carbonate evolution and improves predictions of subsurface properties.

We employ statistical and computational techniques to quantify stratigraphic relationships and geochemical signals in sedimentary records. By integrating geochemical proxies (e.g., elemental concentrations, isotopes) with stratigraphic frameworks, our analyses reveal depositional trends, diagenetic changes, and basin evolution. This helps improve the resolution and predictive capability of subsurface models.

We simulate sedimentary deposition and basin evolution over time using forward stratigraphic models. These models integrate parameters like sediment supply, sea-level change, subsidence, and transport processes to predict stratigraphic architectures and facies distributions. This approach gives a dynamic, process-based view of how stratigraphy builds and evolves, aiding in better reservoir predictions and geological interpretation.