Determining the best oil production region

The oil company has information about the characteristics of the well in each region. Before development, it is necessary to determine the most promising region.

Create a machine learning model to predict the volume of oil reserves in the regions.

Table of Contents

• General Info
• Technologies Used
• Project Status
• Room for Improvement

General Information

• Task: Predict the volume of oil in the field.
• The purpose of the project: Develop a machine learning model , calculate the approximate revenue from well development and select the region with the maximum potential profit.
• The model will help optimize the work on finding the most profitable regions for oil production, thereby increasing the company's profit.

Technologies Used

• Pandas - version 1.3.5
• Numpy - version 1.21.6
• Sklearn - version 1.0.2

Project Status

Project is: complete

Room for Improvement

To do:

• Testing another ML models.
• Investigation of the correlation of well parameters.