Advancements in Seismic Data Integration and Stochastic Simulation for Geological Modeling in PZero

Seismic data integration plays a pivotal role in enhancing the capabilities of geological modelling software. Our current research focuses on the improvement of seismic interpretation tools within the PZero software in the framework of the Geosciences IR project lead by the Italian Geological Survey GitHub - andrea-bistacchi/PZero. The objective is to seamlessly incorporate seismic data into the geological modelling workflow, enabling more comprehensive and accurate models of subsurface structures. The initial phase of our work involved using various libraries to import and analyze seismic datasets, either 2D or 3D within the PZero framework. We have successfully achieved the importation of SEGY files into PZero, marking a significant milestone in our efforts. Integrating seismic data is a crucial step that sets the foundation for constructing detailed geological models, allowing us to enhance our understanding of subsurface geological features. Soon, our research trajectory aims to develop advanced algorithms for stochastic simulation tailored explicitly for modelling clastic sedimentary alluvial plains. The ongoing work includes developing advanced stochastic simulation algorithms tailored for modelling clastic sedimentary environments, relevant to both conventional energy resources and emerging sustainable energy storage solutions. These advancements in seismic data integration and simulation within PZero will significantly contribute to the field of reservoir modelling. They provide a robust framework for predicting the behavior of subsurface energy storage systems, which is pivotal in the transition to a low-carbon energy future.