Adsorbed gas content is an important parameter in shale gas reservoir evaluations, and its common calculation method is based on core experiments. However, in different areas, the correlations between the adsorbed gas content and well logging data might differ. Therefore, a model developed for one specific area cannot be considered universal. Based on previous studies, we studied the relationships between temperature, TOC, organic matter maturity and adsorbed gas content and revealed qualitative equations between these parameters. Then, the equations were combined to establish a new adsorbed gas content calculation model based on depth and total organic carbon (TOC). This model can be used to estimate the adsorbed gas content using only conventional well logging data when core experimental data are rare or even unavailable. The method was applied in the southern Sichuan Basin, and the adsorbed gas content results agree well with those calculated using the Langmuir isothermal model and core experimental data. The actual data processing results show that the adsorbed gas content model is reliable.

吸附气含量是页岩气储层评价的重要参数，其常用的计算方法是基于岩心实验。然而，在不同地区，吸附气含量与测井数据之间的相关性可能有所不同。因此，为某一特定领域开发的模型不能被认为是通用的。基于以往的研究，我们研究了温度、TOC、有机物成熟度和吸附气体含量之间的关系，并揭示了这些参数之间的定性方程。然后，将方程结合起来，建立了基于深度和总有机碳（TOC）的新吸附气含量计算模型。当岩心实验数据稀少甚至不可用时，该模型可用于仅使用常规测井数据估算吸附气含量。该方法应用于川南盆地，吸附气含量结果与Langmuir等温模型和岩心实验数据计算结果吻合较好。实际数据处理结果表明吸附气体含量模型是可靠的。