Full waveform inversion method for seismic data processing using preserved amplitude reverse time migration

US10670751B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10670751-B2
Application numberUS-201615080729-A
CountryUS
Kind codeB2
Filing dateMar 25, 2016
Priority dateMar 27, 2015
Publication dateJun 2, 2020
Grant dateJun 2, 2020

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Abstract

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A preserved-amplitude RTM-based FWI method is used to obtain an image of an explored subsurface formation. Model data corresponding to detected data is generated using a velocity model of the formation. Residuals representing differences between the modeled data and the detected data are back-propagated to then update the velocity model a local optimization based on a deconvolution formula employing a backward propagating wavefield and a forward propagating wavefield. Geophysical features of the formation are imaged based on the updated velocity model.

First claim

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What is claimed is: 1. A method for obtaining an image of an explored subsurface formation, the method comprising: obtaining detected data related to waves traveling through the explored subsurface formation; generating modeled data corresponding to the detected data, using a velocity model of the explored subsurface formation, wherein the velocity model used initially to generate the modeled data is obtained by seismic tomography; back-propagating residuals representing differences between the modeled data and the detected data; updating the velocity model using a local optimization based on a deconvolution formula employing a backward propagating wavefield and a forward propagating wavefield, the deconvolution formula representing a preserved amplitude reverse time migration (RTM) based full waveform inversion (FWI) for a common data-acquisition-characteristic gather; generating the image of geophysical features of the explored subsurface formation based on the updated velocity model; and using the image to locate and/or monitor an oil and gas reservoir. 2. The method of claim 1 , wherein the common data-acquisition-characteristic gather is in a common shot domain, a common receiver domain, a common surface offset domain, a common subsurface offset domain, a common angle domain or a common plane wave domain. 3. The method of claim 1 , wherein the generating of the model data, the calculating of the differences, the back-propagating of the residuals and the updating of the velocity model are performed iteratively until a predetermined criterion is met. 4. The method of claim 1 , further comprising: monitoring evolution of a cost function E calculated at each iteration as E ⁡ ( v ) =  p obs ⁡ ( x r , t , x s ) - p cal ⁡ ( x r , t , x s )  2 = ∑ x r ⁢ ∑ x s ⁢ ∫ d ⁢ ⁢ t ⁡ ( p obs ⁡ ( x r , t , x s ) - p cal ⁡ ( x r , t , x s ) ) 2 where p obs represents the detected data, p cal represents the modeled data, x r represents a receiver position, x s represents a shot position, and t is time along a sequence of amplitude values recorded by a receiver at the receiver position after a shot at the shot position. 5. The method of claim 1 , wherein the detected data is acquired during a seismic survey. 6. The method of claim 1 , wherein the deconvolution formula in a common shot domain used to calculate a perturbation of the velocity model is: δ ⁢ ⁢ v ⁡ ( x ) = v 0 3 2

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Classifications

  • Synthetically generated data · CPC title

  • Reverse-time modeling or coalescence modelling, i.e. starting from receivers · CPC title

  • Wave propagation modeling · CPC title

  • for determining velocity profiles or travel times · CPC title

  • G01V1/282Primary

    Application of seismic models, synthetic seismograms · CPC title

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What does patent US10670751B2 cover?
A preserved-amplitude RTM-based FWI method is used to obtain an image of an explored subsurface formation. Model data corresponding to detected data is generated using a velocity model of the formation. Residuals representing differences between the modeled data and the detected data are back-propagated to then update the velocity model a local optimization based on a deconvolution formula empl…
Who is the assignee on this patent?
Cgg Services Sa, Cgg Services Sas
What technology area does this patent fall under?
Primary CPC classification G01V1/282. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 02 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).