Surpac On The Cloud

: Cloud integration supports automated processes, such as a surveyor importing data to a network resource that then triggers an update to a geologist's block model.   www.3ds.com  +3 User Experience and Support   10 sites Connecting Surpac to the Cloud | GEOVIA - Dassault Systèmes By transitioning to the 3DEXPERIENCE® platform, all Surpac data is stored in a single, centralized data repository in the cloud. T... www.3ds.com GEOVIA SURPAC WORLD’S MOST POPULAR GEOLOGY AND ... 3DEXPERIENCE Platform Integration Surpac introduces to you the powerful collaboration and data management capabilities of the 3DEX... www.3ds.com Collaborative Designer for Surpac Role | GEOVIA Sep 24, 2024 —

Title: Deploying Hexagon’s Surpac on Cloud Infrastructure: A Paradigm Shift in Mine Planning and Geospatial Collaboration Abstract: Traditional deployment of Surpac, a leading mine planning software, relies on powerful local workstations and on-premise file servers, leading to high capital expenditure, data silos, and limited collaboration. This paper explores the migration of Surpac to cloud computing environments. It examines Infrastructure as a Service (IaaS), Desktop as a Service (DaaS), and cloud-native strategies for hosting Surpac. The analysis covers performance metrics (GPU rendering, block model processing), data synchronization challenges, security protocols, and cost models. Findings indicate that cloud deployment reduces latency in multi-site operations, enhances version control, and enables scalable high-performance computing (HPC) for resource estimation—provided network architecture and GPU provisioning are optimized.

1. Introduction Surpac (Hexagon Mining) is a cornerstone software for geological modeling, resource estimation, and open-pit/underground mine design. Traditionally installed on Windows workstations with local licenses and file storage, this model struggles with:

Distributed teams (remote geologists, multiple mine sites). Large block model files (often >10 GB) causing network bottlenecks. Burst computing needs (e.g., variography, kriging, pit optimization). surpac on the cloud

Cloud computing offers an alternative: hosting Surpac on virtual machines (VMs) or streamed desktops, with data residing in central object storage. This paper systematically evaluates the feasibility and best practices for “Surpac in the cloud.” 2. Cloud Deployment Architectures for Surpac Four primary models exist: | Model | Description | Example | |-------|-------------|---------| | IaaS (VM) | Surpac installed on a cloud VM (Windows Server/10) with GPU acceleration. | AWS EC2 G4dn, Azure NVv4 | | DaaS (Virtual Desktop) | Fully managed desktop, Surpac pre-installed, accessible via browser. | Windows 365, Amazon WorkSpaces | | HPC Batch | Headless Surpac scripts run on high-core count VMs for resource estimation. | AWS ParallelCluster, Azure Batch | | Containerized (Experimental) | Surpac functions containerized (requires license server containerization). | Docker + GPU passthrough | Critical dependency: Network License Manager (FLEXlm) must be accessible in cloud or via VPN to on-premise license server. 3. Key Benefits 3.1 Performance Scalability

CPU/RAM: Burst to 64+ vCPUs and 256 GB RAM for block model conditional simulation – impossible on a laptop. GPU rendering: Cloud NVIDIA A10G or V100 GPUs accelerate 3D wireframe rotation and section generation.

3.2 Collaboration & Data Centralization

Multiple users access same Surpac project folder on cloud NAS (e.g., AWS FSx, Azure NetApp Files). Eliminates “send by email” version conflicts; integrates with cloud-based version control (Git LFS for .str, .dtm files).

3.3 CAPEX to OPEX Shift

No workstations to depreciate; pay per VM/hour (Spot instances for non-interactive batch runs). Surpac cloud licensing (Hexagon’s flexible token model) pairs with cloud infrastructure. : Cloud integration supports automated processes, such as

3.4 Remote and Site Access

Geologist in field office uses low-end laptop to connect to cloud-hosted Surpac with full performance.