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US Patent 10310113 Q-compensated full wavefield inversion

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US Patent 12124949 Methodology for learning a similarity measure between geophysical objects
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US Patent 11947062 Velocity tomography using time lags of wave equation migration
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Patent abstract

A method, including: obtaining a velocity model generated by an acoustic full wavefield inversion process; generating, with a computer, a variable Q model by applying pseudo-Q migration on processed seismic data of a subsurface region, wherein the velocity model is used as a guided constraint in the pseudo-Q migration; and generating, with a computer, a final subsurface velocity model that recovers amplitude attenuation caused by gas anomalies in the subsurface region by performing a visco-acoustic full wavefield inversion process, wherein the variable Q model is fixed in the visco-acoustic full wavefield inversion process.

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US Patent 11681043 Diffraction imaging using pseudo dip-angle gather
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US Patent 11662493 Methodology for enhancing properties of geophysical data with deep learning networks
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Official Website
https://pdfpiw.uspto.gov/.piw?Docid=1031011300
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US Patent 11643923 Distributed acoustic sensing autocalibration
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Infobox
Is a
Patent
Patent
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103101130
Date of Patent
June 4, 2019
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Patent Application Number
152513130
Date Filed
August 30, 2016
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Official Website
https://pdfpiw.uspto.gov/.piw?Docid=103101130
Patent Citations Received
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US Patent 10975687 Well and overburden monitoring using distributed acoustic sensors
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US Patent 10996372 Geophysical inversion with convolutional neural networks
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US Patent 11053791 Detecting downhole sand ingress locations
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US Patent 11275190 Generating diffraction images based on wave equations
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US Patent 11333636 Detecting events using acoustic frequency domain features
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US Patent 11313988 Identifying geologic features in a subterranean formation using seismic diffraction imaging
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US Patent 11402529 Identifying geologic features in a subterranean formation using seismic diffraction and refraction imaging
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US Patent 11466563 Systems and methods for subterranean fluid flow characterization
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US Patent 11467303 Identifying geologic features in a subterranean formation using a post-stack seismic diffraction imaging condition
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US Patent 11473424 Fluid inflow characterization using hybrid DAS/DTS measurements
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US Patent 11530606 Detecting downhole sand ingress locations
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US Patent 11593683 Event model training using in situ data
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Patent Primary Examiner
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Michael J Dalbo
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Patent Citations Received
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US Patent 11593683 Event model training using in situ data
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