GeoComputing Group, a leading vendor of highly specialised petro-technical IT solutions, announced the launch of the sixth generation of its RiVA geotechnical computing platform with added support for AI tools like PaleoScan, Petral and Kingdom applications, enabling operators to seamlessly integrate advanced technologies into their workflows.

GeoComputing’s RiVA private cloud platform is the most powerful platform in the E&P industry. RiVA addresses all challenges common to E&P users, such as insufficient performance, complex work environments, large data sets, local and remote locations, lack of specialty support resources, high cost and time to deploy. Highly efficient and performant, RiVA can increase productivity and accuracy so dramatically that tasks that took days on previous infrastructure can be completed in hours.

With key software vendors adding AI tools to their existing applications, GeoComputing’s GEN 6 Platform ships with AI-ready GPUs and workstation profiles capable of adding AI toolkits designed to enhance operational efficiency. This approach builds insight and confidence in leveraging AI tools in the search for hydrocarbons by utilizing sophisticated algorithms within familiar applications that geoscientists and operators already trust.

To further achieve these advancements, the GEN 6 platform incorporates AI-supported GPUs from NVIDIA, providing the necessary computational power for demanding AI workloads. Additionally, the platform introduces configurable workstation profiles to accommodate varying GPU memory requirements, ensuring flexibility based on specific user needs. Recognizing modern deployment practices, the platform also supports containerization, enabling seamless integration of AI solutions that require this architecture.

“At Eliis, we are very happy to be collaborating with GeoComputing to continue our mission to accelerate and automate subsurface workflows,” said Alex Wilson, Principal Geoscience Advisor, Eliis SAS. “By coupling the PaleoScan™ geoscience and RiVA private cloud platforms, we will develop and deliver AI solutions that will unlock new geoscience insights with unprecedented performance.”

By focusing on maintaining the integrity of the overall environment and providing a measured and controlled approach to both operational and cost efficiency as clients progress along the AI journey, GeoComputing ensures it remains a reliable partner for operators navigating the complexities of AI. By utilizing the latest edition of RiVA, operators can harness the advantages of a well-established system that supports comprehensive geoscience application workflows while seamlessly integrating AI tools both now and in the future.

The RiVA Private Cloud Platform offers a compelling alternative to the public cloud or other emerging technologies for those dealing with a tremendous amount of unstructured data with challenges that are not easy to overcome. Operators moving to the public cloud with AI initiatives that are not fully vetted often experience a degradation of the user experience that significantly increases IT operating costs, negating the offset by AI efficiencies.

“GeoComputing differentiates itself by maintaining an unwavering commitment to delivering peak performance for end users while simultaneously reducing operating costs,” said Jay Kirby, VP of Strategic Solutions at GeoComputing. “Unlike other platforms, we achieve this balance by enabling AI from application vendors without compromising the foundational capabilities that users rely on. Our approach ensures that operators can embrace AI-enhanced workflows without the trade-offs of inflated expenses or degraded performance, providing a harmonious integration of cutting-edge technology with practical efficiency.”

Oil and gas companies looking to deploy a high-performance computing platform with support for AI tools in petro-tech applications like PaleoScan, Kingdom, Petrel and others can learn more about how the GEN 6 version of RiVA can help them get the most out of their workflows at https://www.geocomputing.com/products.html.

Source: BUSINESS WIRE