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.