Petrel Integrations

RokDoc is the culmination of over 20 years of industry experience and innovative research. RokDoc provides a seamless interface that integrates everything from data quality control and modeling and prediction. It also integrates multidisciplinary workflows for Quantitative Interpretation and Pore Pressure. Assess sandstone, carbonate, and shale reservoirs for improved hydrocarbon exploration and production optimization, CO2 sequestration and geothermal surveying. RokDoc offers a comprehensive and extensive library that includes rock physics, cutting-edge seismic inversion techniques, as well as a complete geomechanics solution. Automated and easy evaluation of geological "what-if" scenarios. To better understand the probability and success of subsurface resource exploitation, and stored fluid monitoring, capture uncertainty in data and models.

Cegal Prizm is a flexible solution crafted to facilitate the seamless integration of data from various geo-applications, data sources, and platforms within a Python ecosystem. Its modular structure enables users to merge geo-data sources for sophisticated analysis, visualization, data science workflows, and machine learning applications. This innovation empowers users to tackle challenges that were previously unmanageable with older systems. By incorporating contemporary Python technologies, you can enhance, speed up, and improve standard workflows while creating and securely sharing tailored code, services, and technologies with a user community for their use. Furthermore, it connects effortlessly with the E&P software platform Petrel, OSDU, and various third-party applications and domains, allowing for the access and retrieval of energy data. Data can be transferred smoothly, whether locally or across hybrid and cloud environments, into a unified Python setting to derive greater insights and added value. Additionally, Prizm enables the enhancement of datasets with supplementary application metadata, thereby providing more depth and context to your analytical processes. The ability to customize and share these enriched datasets among users fosters collaboration and innovation within the community.