World Data Ocean/lithology classification

lithology classification

One story filed under lithology classification on World Data Ocean. The newest of them: “Predicting Calcium Barriers in the Xihu Depression from Sparse Well Logs”. In the sand-rich Xihu Depression, identifying potential sealing beds is a challenge when continuous mudstone barriers are scarce. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every lithology classification story on World Data Ocean, newest first.

Predicting Calcium Barriers in the Xihu Depression from Sparse Well Logs
Frontiers in Marine Science | New and Recent Articles

Predicting Calcium Barriers in the Xihu Depression from Sparse Well Logs

In the sand-rich Xihu Depression, identifying potential sealing beds is a challenge when continuous mudstone barriers are scarce. This study tackles that problem directly, predicting calcium content from conventional well logs with impressive accuracy, an R² of 0.89 and RMSE of 0.52 percentage points. By then classifying six target lithologies, AdaBoost emerged as the strongest model, achieving 0.88 accuracy on internal tests and 0.82 on an independent well.