Schlumberger. has filed a patent for a system and method involving receiving a drilling trajectory plan, analyzing it to identify a tool face orientation, determining uncertainty levels, and creating a drilling plan based on this information. The computer-implemented method aims to optimize drilling operations. GlobalData’s report on Schlumberger 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 Schlumberger, Mobile payments was a key innovation area identified from patents. Schlumberger's grant share as of January 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.

Drilling system with tool face orientation uncertainty analysis

Source: United States Patent and Trademark Office (USPTO). Credit: Schlumberger Ltd

The patent application (Publication Number: US20240035368A1) describes a computer-implemented method for drilling an intended trajectory by analyzing a drilling trajectory plan and identifying a tool face orientation based on uncertainty levels stored in a data structure. The method involves determining a drilling plan based on the uncertainty level associated with the tool face orientation. The drill plan includes equipment operations such as operating speed, torque level, build rate, turn rate, and trajectory monitoring rates that are adjusted based on the uncertainty level.

Furthermore, the method includes outputting a visual representation indicating the uncertainty level in context with the tool face orientation. The visual representation may include a steering response ellipse with a heatmap or an uncertainty band. The system also receives actual steering response results to compare with the intended trajectory, adjusting the drilling plan if deviations exceed a threshold level. The patent application also covers a computing system and a non-transitory computer-readable medium storing instructions for performing the described operations, emphasizing the importance of uncertainty levels in drilling operations for achieving the intended trajectory accurately.

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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.