Equinor has filed a patent for a method of handling tubular sections for constructing structures in wellbores. The method involves using machine-readable codes on the sections, with a second code encoding less information than the first, read at different handling locations on a platform. Stored information allows for tracking and sequencing. GlobalData’s report on Equinor gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Equinor, Oil well fracking was a key innovation area identified from patents. Equinor's grant share as of January 2024 was 53%. Grant share is based on the ratio of number of grants to total number of patents.

Tracking tubular sections during construction of tubular structure

Source: United States Patent and Trademark Office (USPTO). Credit: Equinor ASA

The patent application (Publication Number: US20240003196A1) describes a method for handling tubular sections and downhole components used in constructing a tubular structure for well bores. The method involves affixing machine-readable codes, including 2D barcodes and RFID tags, to each section or component. These codes are read by machines at different handling locations on a platform, with the information stored in a computer data storage medium. A second set of codes, encoding less information than the first set, is read at a tubular structure assembly location using an optical machine, allowing for verification of the components' identity and their sequence order in the structure.

Furthermore, the method includes obtaining a desired sequence for adding the components to the structure, comparing the sequence of positioned components to the desired sequence using the second codes, and verifying their identity accordingly. The second codes are derived from or mapped to the information encoded in the first codes, ensuring accurate tracking and assembly of the tubular sections and components. By utilizing machine-readable codes and optical machines, this method streamlines the handling and assembly process, enhancing efficiency and accuracy in constructing tubular structures for well bores beneath a platform.

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GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies representing the world’s largest industries. This analysis is combined with crucial details on strategic and investment priorities, innovation strategies, and CXO insights to provide comprehensive company profiles.