Probabalistic modeling and analysis of hydrocarbon-containing reservoirs

This invention describes a way to create computer models of underground oil and gas reserves. It works by first building a complex map, called a factor graph, that shows all the known and uncertain information about the reservoir. This map is then simplified into a tree-like structure, allowing a computer to efficiently calculate probabilities and make predictions about the reservoir's behavior, especially when dealing with unknown factors, specifically for improving oilfield operations.

Why it matters: Filed before the widespread adoption of advanced probabilistic programming frameworks and cloud-based high-performance computing. These advancements now make the complex probabilistic inference and message passing operations described in the claims far more efficient and scalable for real-time oilfield decision-making.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, probabilistic algorithms

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