The efficient evaluation of the oil properties

capabilities

and compressibility of reservoirs using conventional logging data is essential for the large-scale development of shale oil in northern Jiangsu. Utilizing conventional logging data alongside core experiment data

this study develops a robust model to calculate several critical reservoir characteristics. These include total organic carbon content

effective porosity

bedding fracture density

and mineral composition content. The model employs a variety of mathematical methodologies such as physical concept analysis

optimization

fitting

and both forward and backward numerical simulations. Furthermore

this research classifies the sedimentary structure and lithofacies of the reservoir. Results indicate that the shale within the second member of Funing Formation in Qintong Sag predominantly consists of organic-rich layered/laminated mudstone and block mudstone. Among these

the layered or laminated mudstone represents the favorable lithofacies

intersecting vertically with non-favorable rock types. The “sweet spot” layers identified by the model correlate well with the layers analyzed using specialized logging techniques

and field applications have yielded positive outcomes. This technology has been successfully applied in identifying geological and engineering “sweet spots” within the shale oil reservoirs of the Subei Basin

offering significant guidance for the strategic development of shale oil in the region.