CSTrainer : An Ontology Driven Multiple AIGC Agentic Approach for Oil and Gas Scientific Research Supporting
Abstract Scientific research in the energy and oil & gas sector faces significant challenges, including massive heterogeneous data, complex mechanisms, high uncertainty, and substantial reliance on expert experience. While recent advancements in generative AI offer autonomy in multi-step reasoning, generic models offer...