ConocoPhillips has filed a patent for a method using acoustic sensing to analyze subterranean cylindrical structures in a wellbore. The method involves sending and receiving acoustic waves via a radial sensor, processing the data, and generating a plot to identify isolation regions in the wellbore. GlobalData’s report on ConocoPhillips 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 ConocoPhillips, HBV (Hepatitis B Virus) peptides was a key innovation area identified from patents. ConocoPhillips's grant share as of January 2024 was 80%. Grant share is based on the ratio of number of grants to total number of patents.

Method for isolation detection in wellbore using acoustic sensing

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

A recently filed patent (Publication Number: US20230417942A1) outlines a method for isolation detection in a wellbore using acoustic waves. The method involves sending first and second acoustic waves via a radial acoustic sensor, receiving reflection waves associated with these waves, and processing the recorded data to generate a plot for identifying isolation regions in the wellbore. The identification of these regions is based on ratios between parameters associated with the reflection waves and acoustic waves, with the plot aiding in visualizing these regions.

Furthermore, the patent describes a system for isolation detection in a wellbore, comprising a radial acoustic sensor and computer systems for processing the recorded data and generating the identification plot. The system includes multiple staves arranged around the sensor's axis, facilitating the transmission and reception of acoustic waves. The computer systems determine ratios between parameters of the waves to identify isolation regions, ultimately aiding in the efficient plug and abandon of the wellbore. This innovative approach combines acoustic wave technology with data processing to enhance the detection and visualization of isolation regions in wellbores, potentially revolutionizing the efficiency and accuracy of wellbore operations.

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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.