1887

Abstract

Summary

Insightful data on a variety of factors, such as geometrical properties and storage capacity, were obtained through borehole geophysics, which is crucial for assessing the subsurface reservoirs close to the drilling well. The optimization of reservoir exploration, however, depends on the accurate assessment of these characteristics. Additionally, because they are time-consuming and vulnerable to biases in interpretation, classic sequential interpretation procedures of well-logging data are used today. Borehole geophysical datasets from artificial and actual field boreholes were used to test the suggested procedure. In order to verify and validate the prediction of various lithological units and their petrophysical properties in the presence of 5% Gaussian noise, a synthetic dataset was employed. The procedure was further expanded to incorporate other zone factors, including shale parameters and Archie’s coefficients. The gas-bearing reservoir in Egypt is a suitable case study to evaluate and validate the suggested workflow in a challenging, deep reservoir with significant variability. To introduce several lithological units with various petrophysical and zone characteristics, our automated procedure recorded the interaction patterns and hidden linkages.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202335006
2023-11-27
2026-02-10

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References

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Automated Prediction of Geometrical, Zone, and Petrophysical Parameters for a Gas-Bearing Reservoir
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202335006
/content/papers/10.3997/2214-4609.202335006
/content/papers/10.3997/2214-4609.202335006
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