<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Noise logging is a method to determine the natural noise in a well. In the actual production logging process, it is a common situation that the noise data is not continuous with depth, which can be solved by the cubic spline interpolation method. This method is a piecewise interpolation method, which fits with a three-time polynomial in each segment interval, and adds up the polynomials on all intervals to get the interpolation formula. The interpolated data points are a smooth transition with good stability. In this article, the original noise data is interpolated to continuous noise data by cubic spline interpolation method, and then evaluated by noise imaging logging, which presents good results. The cubic-spline interpolation method ensures the internal connection of noise data, and also realizes the fine description and recognition of the characteristics of the output layer. This method will provide a low-cost and effective logging evaluation method for production logging, which has a wide range of applications.</p>
</abstract>

Noise logging is a method to determine the natural noise in a well. In the actual production logging process, it is a common situation that the noise data is not continuous with depth, which can be solved by the cubic spline interpolation method. This method is a piecewise interpolation method, which fits with a three-time polynomial in each segment interval, and adds up the polynomials on all intervals to get the interpolation formula. The interpolated data points are a smooth transition with good stability. In this article, the original noise data is interpolated to continuous noise data by cubic spline interpolation method, and then evaluated by noise imaging logging, which presents good results. The cubic-spline interpolation method ensures the internal connection of noise data, and also realizes the fine description and recognition of the characteristics of the output layer. This method will provide a low-cost and effective logging evaluation method for production logging, which has a wide range of applications.

Data processing method of noise logging based on cubic spline interpolation

Key Laboratory Technologies for Oil and Gas Resources

Ministry of Education (Yangtze University)

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Data processing method of noise logging based on cubic spline interpolation"}

Noise logging is a method to determine the natural noise in a well. In the actual production logging process, it is a common situation that the noise data is...

No.	Flow type	Frequency range
1	Fluid flow in the well (tubing and casing)	1 kHz
2	Completion tools (perforation, oil and casing perforation)	1–3 kHz
3	Back groove (cement channel, reservoir crack)	3–5 kHz
4	Reservoir flow	10–15 kHz

NTO009
Rated work stress	20000PSI (138 MPa)
Rated working temperature	350°F (150 °C)
Dynamic range	72 dB
Frequency range	From 100 to 12,700 Hz
Resolution	16 bit
Number of spectral channels	128 channels
Diameter	1 in. (43 mm)
Length	2.32 ft. (0.71 mm)
Weight	10 lbs (4.53 kg)
Samples length	10 ms
Sampling length	25.6 Hz
Amplifier gain	22.4–67.8 dB

Data processing method of noise logging based on cubic spline interpolation

Publié en ligne: 22 mars 2021

Pages: 93 - 102

Reçu: 27 nov. 2020

Accepté: 31 janv. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00014

Mots clés
noise logging, noise imaging logging, cubic spline interpolation, piecewise interpolation

© 2020 Wu Hao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Types of noise at different frequencies.

Parameters of NTO009 noise logging tool.

Data processing method of noise logging based on cubic spline interpolation

Publié en ligne: 22 mars 2021

Pages: 93 - 102

Reçu: 27 nov. 2020

Accepté: 31 janv. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00014

Mots clésnoise logging, noise imaging logging, cubic spline interpolation, piecewise interpolation

© 2020 Wu Hao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Types of noise at different frequencies.

Parameters of NTO009 noise logging tool.

Mots clés
noise logging, noise imaging logging, cubic spline interpolation, piecewise interpolation