SPE Annual Technical Conference and Exhibition, Год журнала: 2024, Номер 139

Опубликована: Сен. 20, 2024

Abstract Caprock integrity is a critical factor in geological carbon storage (GCS) and hydrogen (GHS), as it ensures containment assurance, environmental safety considerations, efficiency, risk mitigation, long-term viability, public regulatory confidence, economic informed decision-making. can break mechanically by radial cracking, plastic deformation, inner outrebounding, channeling. Understanding these failure mechanisms crucial, but traditional deformation tracking methods have limitations. To address this gap, study utilizes three-dimensional digital image correlation (3D-DIC) to investigate the of caprock specimens from GCS GHS, thereby ensuring their integrity. samples were compressed diametrically using precision 100 kN electromechanical load frame moving at 0.05 mm/min. There variety minerals that examined. During diametrical compression testing, 3D-DIC system was set up monitor without touching them rate 10 frames per second. A black-and-white speckle pattern applied specimen its under stress. The used process, visualize, analyze sample damage varied conditions. load-strain relationship established integrating several factors: 1) DIC-generated horizontal, vertical, shear strain maps, providing insight into sequence development fracture occurrences attributed pre-existing or natural fractures, anisotropy, heterogeneity, laminations, faults, cracks, 2) results demonstrated 4-stage evolution process: initial, linear elastic, elastic-plastic, damage. 3) Additionally, illustrated process samples, yielding tension within ±0.05%, ±0.001%, tension-compression ratio ranging 1% 5%. 4) three patterns observed tested specimens, including central, deviated center, mixed modes due tension, compression, shear. Injecting H2 CO2 formation lead increased pore pressure projects. Geomechanical risks such instability, fault slip, occur throughout project's lifespan. no perfect methodology covers all problems research. This focuses on predicting non-contact optical methods, with being more effective terms test range, affordability, accuracy, full-field monitoring. image-based algorithm better understanding anisotropic heterogeneous conditions, enhancing inspection underground

Язык: Английский