Mini Project: Predicting Oil Flow from Bottom Hole Pressure
VerifiedAdded on 2021/06/18
|7
|1609
|100
Project
AI Summary
This project focuses on predicting oil flow from bottom hole pressure in a petroleum field, employing a back propagation algorithm. The project's background highlights the significance of accurately determining flowing bottom hole pressure (FBHP) in oil wells, especially those utilizing electric submersible pumps (ESP). The objectives include predicting FBHP and utilizing the back propagation algorithm for the project execution. The student's role involved project documentation, meeting organization, and guiding junior team members. The project applied petroleum engineering knowledge and skills to address challenges in pressure prediction. The project also delves into the theory of project, discussing the importance of FBHP measurement, challenges with traditional correlation methods, and the effectiveness of neural network models for FBHP estimation. Identified issues included inaccurate pressure predictions, which were resolved through the student's intervention using the BP algorithm. The team planned to foster creativity and innovation through collaborative work and division of responsibilities.
1 out of 7