Petrel Integrations

RokDoc represents over two decades of industry expertise combined with pioneering research efforts. It features a user-friendly interface that unifies various processes such as data quality assurance, modeling, and predictive analytics. Furthermore, it accommodates interdisciplinary workflows for Quantitative Interpretation and Pore Pressure assessment. Users can evaluate sandstone, carbonate, and shale reservoirs, thereby enhancing hydrocarbon exploration, production efficiency, CO2 storage, and geothermal investigations. RokDoc also includes a vast library encompassing rock physics, advanced seismic inversion methods, and a thorough geomechanics framework. This platform allows for automated and straightforward analysis of geological "what-if" scenarios, facilitating a deeper comprehension of the likelihood and success of extracting subsurface resources. By addressing uncertainty in both data and models, RokDoc enhances decision-making and planning in resource management. Ultimately, it serves as a crucial tool for geoscientists aiming to navigate the complexities of subsurface exploration and production.

Cegal Prizm is a versatile tool designed to enable the smooth integration of data from multiple geo-applications, data sources, and platforms within the Python ecosystem. Its modular architecture allows users to combine geo-data sources for advanced analysis, visualization, data science processes, and machine learning tasks. This innovation provides solutions to challenges that traditional systems struggled to address effectively. By leveraging modern Python technologies, users can enhance, accelerate, and refine standard workflows while developing and securely distributing customized code, services, and technologies to a community of users. Moreover, it easily interfaces with the E&P software platform Petrel, OSDU, and various third-party applications and domains, facilitating the access and retrieval of energy-related data. Data can be transferred efficiently, whether in local setups or across hybrid and cloud environments, into a cohesive Python framework that yields deeper insights and greater value. Additionally, Prizm allows for the augmentation of datasets with extra application metadata, enriching the analytical processes with added depth and context. This capability not only enhances the datasets but also promotes a collaborative atmosphere among users, encouraging innovation and shared learning within the community. The integration of such features makes Cegal Prizm a pivotal solution for modern data challenges in the geospatial domain.