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Machine learning models to forecast sandface pressure from RTA data

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raul-macedo-freire/spe-rta-data-survey

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SPE datasets Survey

This project is an survey about SPE RTA datasets(SPE Data Repository: Data Set: 1, Well Number: 1-53. From URL: https://www.spe.org/datasets/dataset_1/csv_files/dataset_1_all_wells/production_data). The main objectives of this work are:

  • Evaluating RTA datasets in order to improve knowledge about the given data.
  • Generating Machine Learning models to forecast Calculated Sandface Pressure.

This work is result of the discipline EQM2118 - MOD MAT INTELIG ARTIFICIAL of the Pontifical Catholic University of Rio de Janeiro. Once the result paper comes to be published, it will be commited into this repository for open source comunity.

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