Abdelrahman, Moataz Mohamed Gomaa and Valadez Vergara, Rafael and Szabó, Norbert Péter
(2023)
Automated Prediction of Geometrical, Zone, and
Petrophysical Parameters for a Gas-Bearing Reservoir.
In: Fourth EAGE Conference on Petroleum Geostatistics, 2-6 September 2019, Florence, Italy.
Abstract
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.
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Automated Prediction of Geometrical, Zone, and
Petrophysical Parameters for a Gas-Bearing Reservoir. (deposited 27 Sep 2024 06:47)
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