Method and system for the multimodal and multiscale analysis of geophysical data by transformation into musical attributes

US2018136350A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018136350-A1
Application numberUS-201615564268-A
CountryUS
Kind codeA1
Filing dateApr 6, 2016
Priority dateApr 7, 2015
Publication dateMay 17, 2018
Grant date

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Abstract

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A multimodal and multi-scale analysis method of geophysical data is described. The method includes the steps of: acquisition of a plurality of geophysical and/or seismic data or signals extracted from a predefined geological context; recording the data or signals in a digital format on a vector; transformation or conversion of the data or signals into corresponding digital images; transformation or conversion of the data or signals into corresponding sound data available in standard digital musical formats and processing the data or signals in relation to the time and relative frequency content; creation of sound attributes suitable for identifying and characterizing specific geo-musical anomalies, starting from the sound data; and effecting an audio-video comparative analysis, so as to associate, with one or more digital images of a certain geophysical signal, one or more of the sound data associated with the digital images.

First claim

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1 . A multimodal and multi-scale analysis method for analysing geophysical data, the method comprising: acquiring a plurality of geophysical and/or seismic data or signals extracted from a predefined geological context; recording said geophysical and/or seismic data or signals in a digital format on a vector (v); transforming or converting said geophysical and/or seismic data or signals contained in said vector (v) into corresponding digital images; transforming or converting the geophysical and/or seismic data or signals contained in said vector (v) into corresponding sound data, wherein said sound data are made available in standard digital musical formats and wherein said geophysical and/or seismic data or signals contained in said vector (v) are processed as a function of time and of relative frequency content; creating sound attributes suitable for identifying and characterizing specific geo-musical anomalies starting from said sound data; and performing an audio-video comparative analysis so as to associate one or more of said sound data with one or more of said digital images of a certain geophysical signal. 2 . The method according to claim 1 , wherein the processing as a function of the time and of the relative frequency content of said geophysical and/or seismic data or signals contained in said vector (v) is performed according to the following short-term Fourier transform: X (τ,ω)=∫ −∞ ∞ x ( t )ψ( t −τ) dt wherein x(t) is a non-stationary geophysical datum or signal, Ψ(t) is a time window on which the transform acts, τ is a time instant around which a signal spectrum is evaluated. 3 . The method according to claim 1 , wherein the processing as a function of the time and of the relative frequency content of said geophysical and/or seismic data or signals contained in said vector (v) is performed according to the following analysis or wavelet transform: [ W ψ  x ]  ( a , b ) = 1 a  ∫ - ∞ ∞  x  ( t )  ψ  ( t - b a )  dt wherein x(t) is a non-stationary geophysical datum or signal, Ψ(t) is a mother wavelet, a is an expansion of the wavelet and b is a time shift factor of the wavelet. 4 . The method according to claim 3 , wherein the mother wavelet consists of: ω( t )=(1− t 2 ) e −t 2 /2 which corresponds to a second derivative of a Gaussian curve. 5 . The method according to claim 1 , wherein the processing as a function of the time and of the relative frequency content of said geophysical and/or seismic data or signals contained in said vector (v) is performed according to the following Stockwell transform: S  ( τ , f ) = 1 σ  ( f )  2   π  ∫ - ∞ ∞  x  ( t )  e - i   2   π   f   t  e - ( t - τ ) 2 2   σ 2  ( f )

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Classifications

  • Visualisation of seismic data or attributes, e.g. in 3D cubes · CPC title

  • G01V1/30Primary

    Analysis (G01V1/50 takes precedence) · CPC title

  • Transforming one recording into another {or one representation into another} · CPC title

  • G01V1/34Primary

    Displaying seismic recordings {or visualisation of seismic data or attributes} · CPC title

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What does patent US2018136350A1 cover?
A multimodal and multi-scale analysis method of geophysical data is described. The method includes the steps of: acquisition of a plurality of geophysical and/or seismic data or signals extracted from a predefined geological context; recording the data or signals in a digital format on a vector; transformation or conversion of the data or signals into corresponding digital images; transformatio…
Who is the assignee on this patent?
Eni Spa
What technology area does this patent fall under?
Primary CPC classification G01V1/30. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu May 17 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).