A major challenge in prospecting for viable oil and gas is sorting through endless data—seismic data, well and production logs, subsurface measurements, history, documents, and reports—often stored in multiple systems. Data is everywhere. But what if there were one place to find all the information you need, where the global map is evergreen?
The GAIA digital subsurface platform accelerates energy discovery by putting all data at your fingertips—anytime, anywhere, and from any device. The platform is open and provides access to structured data and unstructured content such as news and market reports from multiple content providers across the E&P life cycle.
Powered by the cloud-based DELFI cognitive E&P environment, the GAIA platform personalizes the user experience and accelerates the data-to-discovery journey—enabling you to discover, visualize, screen, and interact with all available data in a region or basin without compromising resolution and scale.
Quickly identify basins of interest for upcoming license and bid rounds using multiclient seismic and well data and the latest industry news. An intuitive search-and-filter map enables you to prospect mature or underexplored basins and determine if these opportunities meet your near- and long-term exploration objectives, putting a vast volume of data from around the world at your fingertips.
Further explore your areas of interest with real-time 3D visualization of subsurface data to better understand geological complexities and reduce risks and uncertainty. With regional knowledge of the structural and stratigraphic complexity, you can identify potential subsurface challenges and share discoveries across the team.
Seamlessly integrate all the work your team performs in the early exploration phase with earth models and existing workflows in the DELFI environment. High performance computing and machine learning capabilities automate manual tasks to accelerate workflows, helping you determine economic viability, focus new ventures, and form a better basin-entry strategy in weeks instead of months.