Baker Hughes. has filed a patent for methods and systems to predict downhole measurement data at the earth’s surface. The technology involves using processors in a downhole tool and surface unit to estimate a property of interest, comparing it with actual sensor data, and performing wellbore operations accordingly. GlobalData’s report on Baker Hughes 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 Baker Hughes, Oil well fracking was a key innovation area identified from patents. Baker Hughes'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.

Predicting downhole measurement data using processors and sensors

Source: United States Patent and Trademark Office (USPTO). Credit: Baker Hughes Co

A patent application (Publication Number: US20240035367A1) describes a method for predicting downhole measurement data at the earth's surface. The method involves using two processors, one in a downhole tool and the other in a surface unit, to predict estimate values of a property of interest. These estimate values are compared with actual measurement values obtained by a sensor in the downhole tool. If the measurement value falls within a predetermined threshold of the estimate value, a wellbore operation is performed based on the estimate value predicted by the surface unit processor.

Furthermore, the method includes transmitting measurement values between the downhole tool and the surface unit, replacing estimate values based on transmitted measurements, and using preliminary data to make predictions. The system also involves multiple processors and predictors to ensure accurate estimation of the property of interest. The method aims to optimize wellbore operations by leveraging predictive analytics and real-time data transmission, ultimately enhancing the efficiency and effectiveness of downhole operations without the need for a cable connection between processors.

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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.