This invention relates to a method and process for
shale oil reservoir lithofacies classification based on RGB fusion of
well logging information. The method uses the first derivative of the
reflection coefficient curve to divide rock units. For each rock unit, lithological indices are calculated using the
root mean square of natural gamma
logging, sedimentary structural indices are calculated using the roughness of
resistivity logging curves, and oil-bearing indices are calculated using the
root mean square of resistivity curves. The
RGB color model is used to perform parameter fusion and
color representation of the lithological, sedimentary structural, and oil-bearing indices of the shale reservoir. Different types of lithofacies color templates established using core sections are used to identify the lithofacies types of
shale oil and gas reservoirs throughout the well section. This method achieves three-parameter fusion identification of shale reservoir lithofacies types, which is more intuitive and convenient.