Earth Science Analytics

AI-driven integration for deeper subsurface insights

The state of geoscience today: Challenges & opportunities The rise of ai in subsurface workflows Subsurface characterization has long relied on expert interpretation of subsurface rock samples, well logs, and…

Most subsurface teams aren’t making the most of their data

Figure 2: Using EarthNET and its Data Lake facilitates harmonization, indexing, and contextualization of the data, making it analytics-ready. Energy companies have invested heavily in data over the past several…

Liberating well data with modern data science and AI

AI-driven well data revolution: Unifying traditional expertise with modern data science The oil and gas industry is navigating a transformative era fueled by the convergence of geoscience, data science, and…

From data to discovery: Applying AI in offshore geoscience

Gamma ray log colored by averaged measured depth for 5,000 wells. AI at Scale: Modernising subsurface interpretation with EarthNET A machine learning-powered workflow enabling geoscientists to analyse and interpret large,…