To predict the long-term evolution of pore pressure and wellbore stability in shale formations, it is essential to understand the hydro-chemical coupling in anisotropic and chemically active shales. However, characterizing these processes in anisotropic shales remains a significant challenge. Traditional pressure transmission testing (PTT) is primarily designed for isotropic materials and relies solely on downstream pressure data, which provides an incomplete characterization and fails to capture the internal spatiotemporal evolution of pore pressure in anisotropic media. Moreover, the parameter inversion process in traditional methods is often regarded as a "black-box" process, providing limited transparency and interpretability. Therefore, this study developed an integrated experimental PTT system and numerical inversion framework. Firstly, a novel multi-point PTT system equipped with three axially distributed pressure sensors was developed to directly monitor the internal pore pressure evolution. The hydraulic/chemical loading procedure was designed to measure the pressure transmission behavior of anisotropic Longmaxi shale. Next, an anisotropic hydraulic-chemical coupling model was developed based on extended chemo-poroelastic theory, and a grid search-based inversion framework was further implemented to estimate the hydro-chemical coupling parameters of anisotropic shale. Then, the multi-point pressure response was examined for anisotropic Longmaxi shale, and the anisotropic permeability, solute diffusion, and reflection coefficients were inverted. Finally, the merits of multi-point PTT compared to single-point PTT were thoroughly examined. Furthermore, the conventional PTT results of the Pierre II and Ghom shales were benchmarked, and the implications for wellbore stability were thoroughly discussed. The results indicated that the Longmaxi shale exhibited significant anisotropy, with anisotropic ratios of 6.12, 8.33, and 1.38 for the permeability, diffusion, and reflection coefficients, respectively. The maximum and average relative errors of the inversion results based on the multi-point PTT results are 12.1 % and 2.56 %, respectively, which are 5.1 % and 0.71 % lower than those of traditional single-point PTT method. The grid search-based inversion framework was further validated by published datasets of both the Pierre II and the Ghom shales. This work demonstrated the efficacy of multi-point PTT system and transparent inversion framework for characterizing hydro-chemical coupling behavior of anisotropic shale and offering valuable implications for shale wellbore stability.
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