Measuring downhole temperature by combining DAS/DTS data
First Claim
1. A method of measuring temperature variations along a wellbore, the method comprising:
- a) providing one or more fiber optic cables along a length of a wellbore;
b) recording distributed acoustic sensing (DAS) signals along the wellbore well using at least one fiber optic cable;
c) simultaneously recording distributed temperature sensing (DTS) signals from the well using at least one fiber optic cable;
d) low-pass filter and down-sample the DAS signals to obtain low-frequency DAS data;
e) converting the low-frequency DAS data to temperature variation using the following equation (1);
wherein D(x,t) is the low-frequency DAS, μ
is the constant that converts optical phase rate to temperature variation, β
(t) is the drift noise existing in the DAS data;
f) estimating borehole temperature by minimizing the error function c using the following equation (2);
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Abstract
This disclosure describes a method of combining DAS and DTS data to accurately estimate borehole temperature. The described method takes advantage of the thermal sensitivity of DAS signal in the low-frequency band, and combines with the absolute temperature measurement from DTS, to produce a distributed temperature estimation that is up to 10000 more accurate than the current commercial solution. The DAS and DTS data should be record simultaneously at the same well. The DAS data are first low-pass filtered and then converted into temperature variation measurement. Then an accurate temperature estimation is obtained by fitting both DTS and DAS data.
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Citations
8 Claims
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1. A method of measuring temperature variations along a wellbore, the method comprising:
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a) providing one or more fiber optic cables along a length of a wellbore; b) recording distributed acoustic sensing (DAS) signals along the wellbore well using at least one fiber optic cable; c) simultaneously recording distributed temperature sensing (DTS) signals from the well using at least one fiber optic cable; d) low-pass filter and down-sample the DAS signals to obtain low-frequency DAS data; e) converting the low-frequency DAS data to temperature variation using the following equation (1); wherein D(x,t) is the low-frequency DAS, μ
is the constant that converts optical phase rate to temperature variation, β
(t) is the drift noise existing in the DAS data;f) estimating borehole temperature by minimizing the error function c using the following equation (2); - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification