Auxiliary data analysis method to optimize well placement under uncertainty

Optimization of well placement process is most complicated problem in oil and gas industry. At this moment several optimization methods were proposed, nevertheless the most-used method is a manual optimization by engineers. The process proposed here uses a machine-learning algorithm trained on simulated data to evaluate the performance of possible well locations and configurations.