Deswik GO is a comprehensive geological modeling and resource estimation software designed specifically for the mining industry. Part of the broader Deswik mining software suite, GO provides tools for managing drillhole data, creating 3D geological models, estimating resources using various geostatistical methods, and reporting results compliant with international reporting codes (JORC, NI 43-101, SAMREC). It emphasizes workflow efficiency, data integrity, and producing auditable results for resource reporting.
Deswik GO serves mining and geology professionals:
Resource Geologists performing geological modeling and resource estimation
Exploration Geologists analyzing drillhole data and planning exploration programs
Mine Geologists conducting grade control and ore/waste delineation
Geostatisticians performing variography and uncertainty analysis
Mining Engineers using geological models for mine planning
Consulting Geologists providing geological services to mining companies

Drillhole Data Management: Import, validate, and manage large drillhole databases with advanced compositing
3D Geological Modeling: Implicit and explicit modeling of stratigraphy, lithology, alteration, and structure
Grade Estimation: Multiple estimation methods (IDW, Ordinary Kriging, Indicator Kriging, MIK)
Geostatistical Analysis: Variography, declustering, trend analysis, and uncertainty quantification
Domaining: Automated and manual domain definition for estimation
Compositing: Flexible compositing by geological boundaries or fixed lengths
Validation: Cross-validation, visual checks, and statistical validation
Block Modeling: Creation and manipulation of block models for resource estimation
Report Generation: Automated generation of resource reports and technical documents
Code Compliance: Tools aligned with JORC (2012), NI 43-101, and other international codes
Audit Trail: Complete history of data processing and estimation steps
Data Export: Export to mine planning software (Deswik CAD, Vulcan, Surpac, etc.)
GO AI Assistant: Context-aware AI that suggests modeling approaches based on geological setting
Smart Domaining: Machine learning algorithms for automatic lithology and alteration domain definition
Anomaly Detection: AI identifies data outliers and potential data quality issues automatically
Estimation Method Recommender: AI suggests optimal estimation methods based on data characteristics
Quantum-Inspired Geostatistics: Experimental algorithms for faster uncertainty quantification
4D Geological Modeling: Time-series modeling for deposits with multiple mineralization events
Fracture Network Modeling: Advanced tools for structurally complex deposits (veins, stockworks)
Machine Learning Grade Estimation: Neural network and random forest estimation methods
Real-Time Collaboration: Multi-user editing with live updates and conflict resolution
Cloud-Native Architecture: Full support for cloud deployment and browser-based access
Automated Workflow Builder: Visual workflow automation without scripting
Enhanced Mobile Integration: Field data collection apps with live sync to geological models
GPU-Accelerated Kriging: NVIDIA CUDA support for faster estimation (10-50x speedup)
In-Memory Processing: Handle larger datasets without performance degradation
Incremental Updates: Update models with new data without complete re-estimation
Distributed Processing: Scale estimation across multiple machines for large deposits
Minimum Requirements:
OS: Windows 10 Pro/Enterprise 64-bit (21H2) or Windows 11 Pro
CPU: Intel Core i7-11700 or AMD Ryzen 7 5700X (8 cores)
RAM: 32 GB (64 GB recommended for large block models)
GPU: NVIDIA Quadro RTX 4000 (8 GB VRAM) or GeForce RTX 3060 Ti
Storage: 100 GB free SSD space + 500 GB for project data
Display: 1920×1080 minimum, dual monitors strongly recommended
Recommended Configuration:
OS: Windows 11 Pro for Workstations
CPU: Intel Core i9-14900K or AMD Ryzen 9 7950X (24+ threads)
RAM: 128-256 GB DDR5 (512 GB for massive multi-element deposits)
GPU: NVIDIA RTX A5000 (24 GB VRAM) or RTX 4090
Storage: 1 TB NVMe Gen4 SSD (OS/Software) + 4 TB NVMe (Project data)
Network: 2.5 GbE for collaboration and data sync
Price: 325 $
Price Currency: $
Operating System: Windows
Application Category: Mining Engineering
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