Selection of a Suitable Rock Mixing Method for Computing Gardner’s Constant Through a Machine Learni...
Selection of a Suitable Rock Mixing Method for Computing Gardner’s Constant Through a Machine Learning (ML) Approach to Estimate the Compressional Velocity: A study from the Jaisalmer sub-basin, India
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Cham: Springer International Publishing
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English
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Cham: Springer International Publishing
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The frequent variability of petrophysical properties makes hydrocarbon exploration challenging in carbonate reservoirs. Nowadays, quantitative interpretation (QI) is an essential part of hydrocarbon exploration in a complex reservoir, which needs adequate rock physics data at the well level. However, sometimes the relevant data are not available in...
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Full title
Selection of a Suitable Rock Mixing Method for Computing Gardner’s Constant Through a Machine Learning (ML) Approach to Estimate the Compressional Velocity: A study from the Jaisalmer sub-basin, India
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TN_cdi_proquest_journals_2548898452
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2548898452
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ISSN
0033-4553
E-ISSN
1420-9136
DOI
10.1007/s00024-021-02733-y
