Battery-powered downhole tools with a timer
US-2016299253-A1 · Oct 13, 2016 · US
US9903973B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9903973-B2 |
| Application number | US-201414566638-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 10, 2014 |
| Priority date | Dec 23, 2013 |
| Publication date | Feb 27, 2018 |
| Grant date | Feb 27, 2018 |
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Methods and devices for obtaining well log data with reduced coherent noise are provided. One such method may include placing a downhole tool into a well to obtain a set of unfiltered well log data that includes individual measurements obtained at various azimuthal angles within the well. Some of the unfiltered well log data may represent eccentered well log data obtained while the downhole tool is eccentered in the well. The individual measurements of the eccentered well log data may have delays that vary as a function of the azimuthal angle at which they were obtained. By comparing the measurements of the eccentered well log data, a common pattern independent of delay, representing coherent noise, may be identified. The common pattern may be subtracted from the well log data to produce filtered well log data that is less noisy than the unfiltered well log data.
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The invention claimed is: 1. A method comprising: placing a downhole tool into a well to obtain a set of unfiltered well log data, wherein the set of unfiltered well log data comprises a plurality of individual measurements obtained at various azimuthal angles within the well, and wherein at least a subset of the set of unfiltered well log data comprises eccentered well log data obtained while the downhole tool is eccentered in the well, wherein the individual measurements of the eccentered well log data respectively include a waveform wherein the waveforms of each individual measurements have delays that vary as a function of the azimuthal angle at which they were obtained; and using a processor: identifying a common pattern occurring independently of delay in the waveforms of each individual measurement of the eccentered well log data, wherein the common pattern at least partially represents coherent noise of the eccentered well log data; and filtering the coherent noise of the downhole tool from the unfiltered well log data by subtracting the common pattern from the unfiltered well log data to obtain filtered well log data, wherein the filtered well log data is less noisy than the unfiltered well log data. 2. The method of claim 1 , wherein the downhole tool comprises an acoustic downhole tool that obtains each of the plurality of individual measurements of the unfiltered well log data by: emitting an acoustic output signal from a transducer toward a casing at an azimuthal angle of the well; and detecting a return acoustic waveform that occurs after the acoustic output signal interacts with the casing, wherein the return acoustic waveform has the delay that varies as the function of the azimuthal angle at which it was obtained and wherein the return acoustic waveform comprises a main echo portion and a reverberation portion. 3. The method of claim 2 , wherein identifying the common pattern occurring independently of delay in the eccentered well log data comprises, using the processor: building a waveform matrix that comprises a plurality of return acoustic waveforms of the eccentered well log data, wherein each of the return acoustic waveforms of the waveform matrix is offset in time by its respective delay; muting the main echo portion of each of the return acoustic waveforms of the waveform matrix; and stacking the return acoustic waveforms of the waveform matrix to obtain a stacked waveform representative of the common pattern occurring independently of delay in the eccentered well log data. 4. The method of claim 3 , wherein stacking the waveforms comprises performing a mean of the return acoustic waveforms of the waveform matrix. 5. The method of claim 3 , wherein the coherent noise of the downhole tool is filtered from the unfiltered well log data by subtracting the stacked waveform from each return waveform of the unfiltered well log data. 6. The method of claim 1 , wherein placing the downhole tool into the well comprises purposely eccentering the downhole tool in the well to cause the plurality of individual measurements of the eccentered well log data to have respective delays that vary as a function of the azimuthal angle. 7. The method of claim 6 , wherein the downhole tool comprises an acoustic downhole tool and is purposely eccentered in the well by an eccentering distance ecc according to the following relationships: dt>T, where T represents a period of casing resonance and dt represents a difference between a maximum delay and a minimum delay of the eccentered well log data; d t = 4 * ecc Vmud , where ecc represents an eccentering distance and Vmud represents an acoustic velocity in the well fluid; and T ≈ 2 * C t Vsteel , where c t represents a thickness of the casing and V steel represents acoustic velocity in steel, wherein the casing comprises steel. 8. The method of claim 1 , comprising, using the processor, identifying the eccentered well log data from among the unfiltered well log data by identifying cyclical changes in the delays of the measurements having a ratio greater than one of a difference between maximum delay and minimum delay compared to a period of casing resonance. 9. A non-transitory, computer-readable medium comprising instructions executable by a processor to: receive well log data that comprises a plurality of acoustic waveforms obtained at various azimuthal angles by an acoustic downhole tool, wherein a first subset of the well log data comprises acoustic waveform delay characteristics indicative of having been obtained while the downhole tool was eccentered in the well; identify a common pattern in at least a second subset within the first subset of the well log data, wherein the common pattern is substantially independent of delays of the acoustic waveforms of the second subset; and subtract the common pattern from at least one of the plurality of acoustic waveforms of the well log data to obtain a filtered acoustic waveform that has less coherent noise. 10. The computer-readable medium of claim 9 , wherein the second subset of the well log data comprises a fixed window of the well log data. 11. The computer-readable medium of claim 9 , wherein the second subset of the well log data comprises substantially all of the acoustic waveforms obtained over one or more whole 360° cycles of azimuthal angle measurements. 12. The computer-readable medium of claim 9 , wherein the second subset of the well log data comprises a sliding window of the well log data surrounding the at least one of the plurality of acoustic waveforms from which the common pattern is subtracted. 13. The computer-readable medium of claim 9 , wherein the instructions to identify the common pattern comprises instructions to: build a waveform matrix that comprises the plurality of acoustic waveforms of the second subset, wherein each of the return acoustic waveforms of the waveform matrix is offset in time by its respective delay; mute a main echo portion of each of the acoustic waveforms of the waveform matrix; and stack the acoustic waveforms of the waveform matrix to obtain a stacked waveform representative of the common pattern that is substantially independent of the delays of the acoustic waveforms of the second subset. 14. The computer-readable medium of claim 9 , wherein the instructions comprise instructions to identify the second subset of the well log data by identifying cyclical changes in the delays of the measurements having a ratio greater than one of a difference between a maximum delay and a minimum delay compared to a period of casing resonance. 15. The computer-readable medium of claim 9 , wherein the common pattern is identified in the time domain and subtracted from the at l
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