Background & Objective

Key Pain Points:

• Current geoscience data and project are stored in each workstation and manage personally by geoscientist causing replication and unclear versioning of data. This solution will support geoscientist by centralizing and managing all project in geoscience. It also facilitate all geoscience modeler to collaborate.
• This tools also equipped with collaboration workflow and progress tracking between geoscientist (geophysicist, geologist, and geochemist) that are assigned to exploration projects.

Solution Design:

• Develop feed zone identification workflow leveraging machine learning models to process subsurface data and producing more accurate and efficient analysis

Potential Benefit

• Reduce duplication of data both raw & modelling data between geoscientists.
• Improve productivity of geoscientist through standardized data repository and clear workflow.
• Improve traceability of data and project

Project Managers

• Business :
• Digital :