Methods for modeling multi-dimensional domains using information theory to resolve gaps in data and in theories

This invention describes a method for creating a computer model of a specific area. It involves collecting various pieces of information about that area, then splitting this information into different groups. One group of information is used to build the initial model, and then parts of that same group are used to fill in any missing data points within the model.

Why it matters: The method describes fundamental data processing for model building. Since 2001, computational power and advanced machine learning algorithms have dramatically improved, making complex multi-dimensional modeling, particularly for applications like geophysical prospecting and CO2 sequestration, far more efficient and accurate with today's massive datasets.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, domain expertise

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