Develop LSTM Prediction optimization Model

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Reference no: EM133127375

Enhanced Oil Recovery in Unconventional/Tight Reservoirs, Technical Feasibility

Content of the Report
Abstract
Introduction:
Methodology
Results
Discussion
References

Main Requirements

Using the given dataset (Excel) develop LSTM Prediction optimization Model for forecasting Oil production.

Proposed structural learning process, LSTM parameters for the model in a tabulate format , describe it briefly with the relevant equations basis on the Enhanced Oil Recovery

Comparison and plot of observed and model-predicted respected to timeline with details description with the relevant equations based on the Enhanced Oil Recovery

Described with suitable figures and equations based on the Enhanced Oil Recovery

Regression analysis, MSE analysis, Drop out, RF Observed, RF Prediction, Error analysis, ARD, Residual, Residual errors versus predicted data and provide the table.

Prediction history matching parameters and model with data provided dataset and LSTM

Reference no: EM133127375

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