We have gathered a significant amount of sonic velocity and porosity data from normally compacted and uplifted clean sandstones in the Norwegian Sea and the Barents Sea. Notably, we observe significant porosity inconsistency in the exhumed well 6510/2-1 in the Norwegian Sea. In the Barents Sea, well data reveals a varying pattern of porosity inconsistency that not only aligns with the spatial variation of exhumation reported in various studies but also exhibits a positive correlation with the magnitude of exhumation. These observations provide support for the predictions made by the conceptual modeling.

rockphypy is a Python-based open-source library dedicated to rock physics modeling. It caters to individuals interested in rock physics and empowers them to apply rock physics tools in their work and research effectively.Built upon the foundations of Stanford SRB tools , rockphypy has successfully migrated and optimized a wide range of rock physics models from Stanford SRB Matlab tools to Python. Additionally, it extends the functionality by introducing new functions and practical workflows.

We present a novel rock physics model aimed at quantitatively describing the stress sensitivity of weakly to moderately cemented sandstone during effective stress release. Additionally, we put forward a sequential modeling approach i.e., PCM-VPCM, which effectively explains the hysteresis behavior observed in cemented sandstone during stress loading and unloading. To validate our model’s performance, we compared it against published measurements. The results clearly demonstrate a strong agreement between the modeled stress sensitivities and the measured wave velocities.

We propose a new algorithm MultiSLIC to segment cross-polarized thin section images. We benchmark different superpixel methods for petrographic thin section data sets and we integrate MultiSLIC into a human-cmputer collaborative annotation pipeline.