Minimization of drill string rotation rate effect on acoustic signal of drill sound

US11920467B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11920467-B2
Application numberUS-202217575214-A
CountryUS
Kind codeB2
Filing dateJan 13, 2022
Priority dateJan 13, 2022
Publication dateMar 5, 2024
Grant dateMar 5, 2024

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Abstract

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Systems and methods include a computer-implemented method for determining normalized apparent power. Drilling acoustic signals corresponding to a time domain and generated during drilling of a well. A fast Fourier transformation (FFT) is performed using the drilling acoustic signals to generate FFT data. Normalized FFT data is generated using normalization parameters and a drill string rotation rate record of a drill string used to drill the well. The drill string rotation rate is received during drilling. Normalized apparent power is determined from data points of a predetermined top percentage of the normalized FFT data within a lithological significant frequency range. The normalized apparent power is a measure of the power of the drilling acoustic signals and it is a function of the amplitude and frequency of the normalized FFT data. The lithological significant frequency range is a frequency range within which the drill sounds are more closely related with lithology.

First claim

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What is claimed is: 1. A computer-implemented method, comprising: measuring, in real time, rock properties at a drill bit during drilling of a well; receiving, in response to the measuring, drilling acoustic signals generated during the drilling of the well, wherein the drilling acoustic signals correspond to a time domain; performing, using the drilling acoustic signals, a fast Fourier transformation (FFT) to generate FFT data; generating normalized FFT data by normalizing the FFT data using normalization parameters corresponding to a drill string rotation rate record of a drill string used during drilling of the well, wherein the drill string rotation rate record of the drill string is received during drilling of the well; determining normalized apparent power from data points of a predetermined top percentage of the normalized FFT data within a lithological significant frequency range, wherein the normalized apparent power measures a power of the drilling acoustic signals and is a function of an amplitude and frequency of the normalized FFT data, and wherein the lithological significant frequency range is a frequency range within which drill sounds are related with lithology of rock formations in the well; providing a display of the normalized apparent power against the drill string rotation rate record, wherein the display includes one or both of the normalization parameters used in determining the normalized apparent power and drilling parameters used during the drilling of the well; receiving user selections from the display of one or both of the normalization parameters and the drilling parameters; updating, based at least on the user selections, one or more of the normalization parameters used in determining the normalized apparent power and the drilling parameters used during the drilling of the well; measuring, in real time, the rock properties at the drill bit; and applying, in real time using at least the rock properties and the lithology of the rock formations in the well, the updated drilling parameters to drilling operations, including performing, based on lithology boundaries, geo-steering of the drill bit during the drilling operations. 2. The computer-implemented method of claim 1 , wherein the drilling acoustic signals include recorded drill sounds. 3. The computer-implemented method of claim 1 , further comprising generating, from the FFT data, a color-coded plot plotting signal amplitude versus depth and including an adjacent plot plotting drill string rotation in relation to the depth. 4. The computer-implemented method of claim 1 , wherein generating the normalized FFT data includes minimizing effects of drill string rotation rates by reducing amplitudes of the drilling acoustic signals by an amplitude adjustment. 5. The computer-implemented method of claim 1 , wherein the predetermined top percentage of the normalized FFT data are data points with relative high amplitude and containing less background noises. 6. The computer-implemented method of claim 4 , wherein the amplitude adjustment is a function of a drill string rotation rate. 7. A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising: measuring, in real time, rock properties at a drill bit during drilling of a well; receiving, in response to the measuring, drilling acoustic signals generated during the drilling of the well, wherein the drilling acoustic signals correspond to a time domain; performing, using the drilling acoustic signals, a fast Fourier transformation (FFT) to generate FFT data; generating normalized FFT data by normalizing the FFT data using normalization parameters corresponding to a drill string rotation rate record of a drill string used during drilling of the well, wherein the drill string rotation rate record of the drill string is received during drilling of the well; determining normalized apparent power from data points of a predetermined top percentage of the normalized FFT data within a lithological significant frequency range, wherein the normalized apparent power measures a power of the drilling acoustic signals and is a function of an amplitude and frequency of the normalized FFT data, and wherein the lithological significant frequency range is a frequency range within which drill sounds are related with lithology of rock formations in the well; providing a display of the normalized apparent power against the drill string rotation rate record, wherein the display includes one or both of the normalization parameters used in determining the normalized apparent power and drilling parameters used during the drilling of the well; receiving user selections from the display of one or both of the normalization parameters and the drilling parameters; updating, based at least on the user selections, one or more of the normalization parameters used in determining the normalized apparent power and the drilling parameters used during the drilling of the well; measuring, in real time, the rock properties at the drill bit; and applying, in real time using at least the rock properties and the lithology of the rock formations in the well, the updated drilling parameters to drilling operations, including performing, based on lithology boundaries, geo-steering of the drill bit during the drilling operations. 8. The non-transitory, computer-readable medium of claim 7 , wherein the drilling acoustic signals include recorded drill sounds. 9. The non-transitory, computer-readable medium of claim 7 , the operations further comprising generating, from the FFT data, a color-coded plot plotting signal amplitude versus depth and including an adjacent plot plotting drill string rotation in relation to the depth. 10. The non-transitory, computer-readable medium of claim 7 , wherein generating the normalized FFT data includes minimizing effects of drill string rotation rates by reducing amplitudes of the drilling acoustic signals by an amplitude adjustment. 11. The non-transitory, computer-readable medium of claim 7 , wherein the predetermined top percentage of the normalized FFT data are data points with relative high amplitude and containing less background noises. 12. The non-transitory, computer-readable medium of claim 10 , wherein the amplitude adjustment is a function of a drill string rotation rate. 13. A computer-implemented system, comprising: one or more processors; and a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations comprising: measuring, in real time, rock properties at a drill bit during drilling of a well; receiving, in response to the measuring, drilling acoustic signals generated during the drilling of the well, wherein the drilling acoustic signals correspond to a time domain; performing, using the drilling acoustic signals, a fast Fourier transformation (FFT) to generate FFT data; generating normalized FFT data by normalizing the FFT data using normalization parameters corresponding to a drill string rotation rate record of a drill string used during drilling of the well, wherein the drill string rotation rate record of the drill string is received during drilling of the well; determining normalized apparent power from data points of a predetermined top percentage of the normalized FFT data within a lithological significant frequency range, wherein the normalized apparent power measures a power of the drilling acoustic signals and is a function

Assignees

Inventors

Classifications

  • E21B49/003Primary

    by analysing drilling variables or conditions (E21B49/005 takes precedence; systems specially adapted for monitoring a plurality of drilling variables or conditions E21B44/00) · CPC title

  • with optical {or acoustical} auxiliary devices · CPC title

  • Data acquisition · CPC title

  • Analysing data · CPC title

  • Measure-while-drilling or logging-while-drilling · CPC title

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What does patent US11920467B2 cover?
Systems and methods include a computer-implemented method for determining normalized apparent power. Drilling acoustic signals corresponding to a time domain and generated during drilling of a well. A fast Fourier transformation (FFT) is performed using the drilling acoustic signals to generate FFT data. Normalized FFT data is generated using normalization parameters and a drill string rotation…
Who is the assignee on this patent?
Saudi Arabian Oil Co
What technology area does this patent fall under?
Primary CPC classification E21B49/003. Mapped technology areas include Fixed Constructions.
When was this patent published?
Publication date Tue Mar 05 2024 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 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).