The oil & gas industry faces challenges in estimating reservoir properties in regions without well data. To overcome this, a combination of seismic attributes and drilled well information is used to predict the unknown drilled portion of the reservoir. Integrating these data sets enhances geological and flow models, leading to better reservoir predictability and improved strategies for reservoir development and production. This study focuses on a lacustrine carbonate environment and employs a stratigraphic-sedimentological modeling approach. The aim is to understand sedimentation times and propose a growth model for carbonate build-ups based on prior integrated studies using seismic attributes. The modeling methodology was applied to the BM-C-33 Exploratory Hydrocarbon Block in the Campos Basin, Brazilian offshore. The Macabu Formation was chosen as the target unit. Seismic attribute-driven carbonate mound features were identified and categorized into different sedimentation periods. Geological processes were then modeled, incorporating parameters such as topographic and bathymetric surfaces, lake level variations, subsidence mapping, and rates of carbonate deposition. Four depositional domains for lacustrine carbonates were considered: high-energy sediment domain, build-ups domain, low-energy sediment domain, and clayey sediment domain. By integrating seismic attributes and well data, more reliable growth models of the carbonate mounds were developed. The results demonstrate the efficiency of the methodology in improving the understanding and representation of carbonate reservoirs, facilitating the characterization of the studied region, sand mitigating associated project risks, such as identifying new drilling locations.
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