Quantitative fluid discrimination through AVO/EEI analysis and semi-supervised machine learning method: a case study from the Bahregansar field, Ghar sandstone reservoir | Synapse
March 3, 2026
Quantitative fluid discrimination through AVO/EEI analysis and semi-supervised machine learning method: a case study from the Bahregansar field, Ghar sandstone reservoir
Key Points
Fluid discrimination is effectively achieved by combining AVO and EEI analysis, enhancing resource assessment.
The model demonstrates a significant accuracy improvement in predicting fluid types, with a precision rate above 85%.
Semi-supervised machine learning methods were applied to analyze geological data from the Bahregansar field, optimizing prediction capabilities.
This approach may enable more efficient reservoir evaluations, highlighting the need for future field-wide applications.