Application of Dynamic Time Warping Algorithm in Oilfield Development

As a similarity analysis method in data mining field, the dynamic time warping algorithm can effectively find out the combination with the highest similarity in different time series. For curve analysis involving output, water cut, fluid production rate and water injection rate during oilfield development, the dynamic time warping algorithm can be introduced to conduct classification of oil wells, quick evaluation of stimulation response and recognition of oil-water well connectivity. The calculation results obtained effectively and rapidly provide a foundation for future study.