Method and system for generating predictive logic and query reasoning in knowledge graphs for petroleum systems

This invention describes a way to make oil and gas reservoir simulations more reliable. It works by checking a knowledge graph, which is like a smart database containing all the rules and facts for the simulation, to see if it's missing any crucial information. If it finds gaps, it automatically updates the knowledge graph with the missing pieces, specifically focusing on information needed to predict success or failure, and then uses this complete information to run a more accurate simulation.

Why it matters: Filed before the widespread adoption of advanced generative AI and large language models. These technologies could now significantly enhance the automated generation and reasoning capabilities required to update and complete complex knowledge graphs for predictive tasks, making the core method more robust and scalable than previously possible.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, knowledge graph system, machine learning models

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