Thesis Defense

Abstract

The acoustic and elastic responses of sandstones vary with changes in effective stress. Among different type of sandstones, velocities and elastic moduli of weakly cemented sandstone shows asymmetrically much more sensitivity to effective stress increases than effective stress decreases in lab. Numerous sandstone rock physics models available in the literature are proposed based on the assumption of perfect linear elasticity, which limits the applicability of most models to explain the behavior of weakly cemented sandstone upon stress release. Effective stress imposed on a rock is typically defined as the difference between the overburden stress and the pore pressure when the stress coefficient is assumed to be unity. Effective stress release scenarios in practice often involve an increase in pore pressure within reservoir rock due to injection, as well as a reduction in overburden stress caused by uplift and erosion of the rock. However, there is a scarcity of quantitative studies in the literature examining the impact of stress release on various aspects, such as estimating uplift in overconsolidated rock and utilizing 4D seismic monitoring for fluid injection. Compared to high porosity weakly cemented sandstone, unconsolidated sands are more extensively studied. Laboratory experiments and well log data have demonstrated that the acoustic and petrophysical properties of mechanically compacted overconsolidated sands differ from those of normally consolidated sands. However, there is currently no documented research exploring the similarities and differences between these two types of sandstone in an overconsolidated state. This understanding is crucial both from an academic standpoint and in practical applications. This dissertation addresses the above questions in a sequential manner. Moreover, in order to promote ongoing research on stress release and encourage innovation in rock physics, the models and knowledge gained during the completion of this dissertation have been incorporated into an open-source Python library. This library serves as a valuable resource for the scientific community, providing access to the developed models and facilitating further exploration and advancements in the field of rock physics.

Jiaxin Yu

My research encompasses both theoretical investigations in the domains of rock and subsurface studies, as well as the practical application of AI technologies to geoscientific endeavors. On the theoretical front, my research interests are primarily centered around rock physics, granular medium theory, and poroelasticity. From an applied perspective, my focus lies in leveraging artificial intelligence for rock mineral identification, employing Graph Neural Networks (GNNs) for simulating granular mediums, and contributing to open-source initiatives dedicated to rock physics and computational geoscience projects