World Data Ocean/calcium content prediction

calcium content prediction

calcium content prediction at World Data Ocean is a file of one story. 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 calcium content prediction story on World Data Ocean, newest first.

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.