Lithofacies classification using Bayes theorem method : Case study Western Desert, Egypt
نویسندگان
چکیده
This paper shows the availability of using Bayesian classification method to predict class membership probabilities in one deep tight reservoirs Western Desert, Egypt. The workflow our project that used deterministic petrophysical results three training wells train data and extract classifiers. classified were modeled Gaussian distribution for each lithofacies. acquired from a Jurassic gas reservoir Desert fitting between actual has been reached by minimizing L2 norm. Besides, cross-validation process was validating resulted Finally, can GWC with an accuracy 4 m. To avoid probability interference caused compacted shale more should be added initial model.
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ژورنال
عنوان ژورنال: Multidiszciplináris tudományok
سال: 2021
ISSN: ['2062-9737']
DOI: https://doi.org/10.35925/j.multi.2021.1.8