Seequent, a global leader in subsurface earth modelling software, has reported a significant reduction in geological modelling time for mining operations across West Africa. The company credits the adoption of its specialized software platforms for streamlining complex processes and enhancing collaboration.
This efficiency gain is crucial in a region characterized by rich mineral endowments and growing investment in exploration. Ghana stands out as a key hub for this technological revolution, driving the adoption of modern subsurface technologies. The country's credible regulatory framework and relentless exploration activity position it as a model for regional mining advancement.
The integration of advanced software aligns with Ghana's broader economic strategy to maximize output from its natural resources. Modernizing mining operations helps attract more foreign direct investment and ensures competitive resource extraction. Such technological adoption supports the nation's efforts to move up the value chain in the global mining sector.
Seth Miah, Seequent's Regional Manager for West Africa, stated, "Ghana is not just a market; it is a model for what the rest of the region can achieve." He highlighted the convergence of an expanding industry, increased exploration capital, and a strong demand for modern subsurface technology in West Africa. Mr. Miah's comments underscore the region's strategic importance for the company.
Looking ahead, the successful deployment of these technologies suggests continued improvements in mining efficiency and output. Decision-makers and market participants will watch how these innovations impact exploration success rates and operational costs. The focus on digitizing historical data also points to future discoveries in mature gold systems across the region.
Seequent's platforms, such as Leapfrog Geo and Oasis montaj, are widely adopted in West Africa. Leapfrog Geo is used for 3D geological modelling, particularly in complex gold deposits. Oasis montaj supports geophysical processing, benefiting geological surveys and early-stage explorers.
The practical benefits are evident at Ghana's Asanko Gold Mine, which uses Seequent Central for geological data management. This cloud-connected platform allows real-time collaboration among teams in Ghana, Canada, the United States, the UK, and Australia. This setup provides a single, trusted source of geological information, reducing version-control issues.
Miah explained that this unified data access supports faster, more confident subsurface decisions throughout a mine's lifespan. By improving coordination across geographically diverse teams, the platform demonstrates the power of cloud-connected workflows for large-scale operations. This is especially vital as mining companies face increasing geological complexity.
The industry is pushing into deeper, less-understood deposits, requiring more sophisticated data interpretation. Fragmented or legacy datasets often slow down analysis and amplify operational risks. Investors and regulators are also demanding greater environmental rigor, necessitating precise data management.
Miah further noted that limited access to modern subsurface modelling tools can restrict decision-making for early-stage explorers. There is also growing pressure to digitize historical data to support new exploration strategies. This presents a significant opportunity to unlock underappreciated potential from vast archives of geological data.
Across Africa, geological surveys have accumulated decades of data that often remain untapped. Governments, including the Kenyan Geological Authority, are now using Seequent solutions to transform these legacy datasets. This conversion creates modern, usable geological frameworks, offering significant implications for West Africa's brownfield and greenfield projects.
Unlocking value from legacy data is critical for exploration success. For instance, SRK Consulting used modern 3D modelling and machine learning to re-interpret historical datasets. This work revealed previously unrecognized geological controls, opening new discovery potential in mature gold systems. Artificial intelligence (AI) and machine learning (ML) are becoming central to these efforts.
Seequent's latest Geological Data Management Survey Findings show that mining specialists spend nearly a third of their time managing data. Yet, only 39% of mining organizations have a defined data framework. More than half are now using or actively considering AI to help manage this complexity. Integrating AI into data management promises further breakthroughs in mining efficiency.