Measurement of sound velocity in oil wells based on fast adaptive median filtering

Weı ZHOU; Juan LIU; Lıqun GAN

doi:https://doi.org/10.3906/elk-1904-94

Makale detayları

Measurement of sound velocity in oil wells based on fast adaptive median filtering

Yazarlar:

Weı ZHOU | Juan LIU | Lıqun GAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2020 Vol.28 Issue 2, pp.836-849

Belge Tipi:

Makale

Yayın Tarihi:

2/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000733233

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

DOI:

https://doi.org/10.3906/elk-1904-94

Özet:

 

Measurement of sound velocity in oil wells has long been a challenging industrial issue due to the difficulty  in obtaining clear oil pipe coupling waves in strong noise. In this paper, a novel sound velocity measurement method  is developed for the dynamic liquid level of oil wells based on fast adaptive median filtering. First, to solve the noise  interference problem in the reflected oil pipe coupling wave, a fast adaptive median filtering algorithm is proposed to  obtain an accurate oil pipe coupling wave. Then a curve fitting method based on range discrete coefficient is developed  to estimate the sound velocity in the tubing-casing annular space of oil wells. The fitting sound velocity can reflect the  propagation rule of the real sound velocity. In particular, the sound velocity at any position within the tubing-casing  annular space can be accurately calculated by the fitting function. Finally, the proposed method is applied to the  dynamic liquid level of an oil well. Experimental results show the effectiveness and favorable accuracy in estimating the  sound velocity distribution.

Makale detayları

Measurement of sound velocity in oil wells based on fast adaptive median filtering

Yazarlar: Weı ZHOU | Juan LIU | Lıqun GAN

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2020 Vol.28 Issue 2, pp.836-849

Belge Tipi: Makale

Yayın Tarihi: 2/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000733233

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

DOI: https://doi.org/10.3906/elk-1904-94

Sayı

Yazarlar:

Weı ZHOU | Juan LIU | Lıqun GAN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2020 Vol.28 Issue 2, pp.836-849

Belge Tipi:

Makale

Yayın Tarihi:

2/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000733233

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

DOI:

https://doi.org/10.3906/elk-1904-94