Productivity forecast for multi-stage fracturing in shale gas wells based on a random forest algorithm

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Ju-Hua Li ◽  
Lei Ji
Keyword(s):  
Random Forest ◽  
Shale Gas ◽  
Random Forest Algorithm ◽  
Gas Wells ◽  
Multi Stage

A Methodology to Quantify the Volume-of-investigation in DFIT Design for Shale Gas Wells

2019 ◽  
Author(s):  
Zhiming Chen ◽  
Hongyang Chu ◽  
Xuefeng Tang ◽  
Lingyu Mu ◽  
Peng Dong ◽  
...  
Keyword(s):  
Shale Gas ◽  
Gas Wells

METHOD SUGGESTING CITY WALKING ROUTES FOR PEDESTRIANS USING AN EXAMPLE OF SAINT-PETERSBURG

2019 ◽  
pp. 71-76
Author(s):  
A.E. Semenov
Keyword(s):  
Random Forest ◽  
Develop Model ◽  
Random Forest Algorithm ◽  
Saint Petersburg ◽  
Pedestrian Navigation ◽  
Factors Influencing ◽  
The City

The method of pedestrian navigation in the cities illustrated by the example of Saint-Petersburg was investigated. The factors influencing people when they choose a route for their walk were determined. Based on acquired factors corresponding data was collected and used to develop model determining attractiveness of a street in the city using Random Forest algorithm. The results obtained shows that routes provided by the method are 14% more attractive and just 6% longer compared with the shortest ones.

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