AbyssGeist "探渊索隐"——A Geoscience Foundation Model Project Proposal

Abstract

AbyssGeist (探渊索隐) is a conceptual Geoscience Foundation Model project proposal developed around the integration of artificial intelligence, geophysical and geochemical exploration, geological knowledge, and mineral resource development. The project proposes a three-layer architecture consisting of a Multimodal Geophysical Encoder, a Geological Prior-Knowledge Graph, and a Twin Inversion & Reasoning Engine. Its core strategy is to integrate heterogeneous geoscience data, including seismic data, geophysical maps, core images, and geochemical information, into a unified representation space; retrieve historically analogous geological and geophysical data; and use geological and physical priors to constrain the inherently non-unique inversion problem. Beyond geophysical interpretation, AbyssGeist envisions a full-lifecycle digital twin connecting exploration, drilling, mining, processing, transportation, cost control, and mineral pricing. Real-time drilling and Logging While Drilling (LWD) data are envisioned as feedback signals for continuously updating and refining exploration models. The proposal therefore explores the possibility of extending a geoscience AI system from subsurface interpretation toward integrated decision-making across the mineral resource value chain. The project also includes a cultural component, “Questions to Heaven · The Voice of the Earth,” which reinterprets selected passages from Qu Yuan’s Tianwen through the lens of modern geophysical exploration. It presents a dialogue between ancient questions about the unknown Earth and contemporary technologies used to observe, model, and interpret the subsurface. This record documents the conceptual framework, technical architecture, workflow, and cultural vision of AbyssGeist. It is a project proposal and conceptual design, rather than a report of a completed foundation model or operational system.