多因素的页岩吸附气量计算及影响因素效应分析

    Calculation and its influence effect analysis of shale gas adsorption

    • 摘要: 页岩吸附气含量评估是气藏储量预测和目标区优选的关键。总有机碳含量(TOC),干酪根成熟度(Ro),温度(T)与压力(P)是影响页岩吸附气量(V)的主要因素,其中TP随深度(H)的增加同时增大,故H反应两者的综合作用。基于等温吸附实验结果,建立考虑TOCRoH三因素的吸附气量计算模型,并结合正交分析法分析各因素影响效应及敏感性,结果表明:VTOCRo呈正相关,与H的关系存在转折点。所取样品对吸附气量敏感性排序依次为H> TOC> Ro,且在一定深度以浅,压力的敏感性大于温度;在此深度以深,温度的敏感性大于压力。该计算模型可评估任意HTOCRo条件下的页岩气藏储量,分析方法也可为页岩储层评价参数优选提供依据。

       

      Abstract: The assessment of adsorbed gas content is the key for the shale gas resource prediction and target area selection. The total content of organic carbon (TOC), kerogen maturity (Ro), temperature (T) and pressure (P) are the main factors which affect the adsorbed gas content(V), with the increase of strata depth (H), T and P increase at the same time, therefore, H reacts the mutual effect of T and P. Based on the isothermal adsorption experiment results, calculation model considering TOC, Ro, H are established, and influence effect and sensitivity are analyzed using orthogonal analysis method, the results show that: V is proportional to TOC, Ro, and there is a depth turning point between V and H. Sensitivity ranks of factors are H> TOC> Ro, and above the depth turning point, pressure is more sensitive than temperature, while below this point, temperature is more sensitive than pressure. The calculation model can assess any shale gas resource under different H, TOC, Ro; and the analysis method can also provide the basis for parameter optimization in shale gas reservoir.

       

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