WELL COMPLETION SELECTION AND DESIGN USING DATA INSIGHTS

Methods and systems are provided for automating well completion selection and design using machine learning and natural language processing. The present disclosure describes a method for designing a well completion, comprising: i) collecting and storing a historical dataset comprising unstructured data related to prior well completions: ii) identifying a plurality of unstructured schematic documents related to prior well completions that are a part of the historical dataset of i): iii) processing each given unstructured schematic document of the plurality of unstructured schematic documents of ii) to generate structured data corresponding to text of the given unstructured schematic document: iv) associating the structured data corresponding to text of the respective unstructured schematic documents of iii) with different well contexts as part of a database: and v) presenting a graphical user interface to a user for designing a well completion, wherein the graphical user interface presents structured data stored in the database of iv) for insight in designing the well completion.