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Abstract

Summary

In this paper, we presented an approach to building a machine learning model for predicting well productivity index. The proposed approach is based mainly on LWD data and well log interpretation results, based on the petrophysical model of the oilfield and digital signal processing approaches. The proposed approach was tested on historical data from the Novoportovskoye oilfield. The model was tested based on the LOOCV cross-validation process. As a result, the median relative error over wells is less than 20%.

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/content/papers/10.3997/2214-4609.202032094
2020-11-30
2024-04-28
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References

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