The depth of working fluid level of an oil well is one of the critical parameters that reveal the condition of down-hole environment. It should be measured periodically and accurately to stabilize the usual operation of pumping units. Acoustic method is currently the most common and most effective measurement method. This paper discuss a kind of working fluid level measuring equipment, which is based on NI single-board RIO embedded real-time processing system. By combing existing analysis method with wavelet transform theory, this device can automatically calculate the sound speed in wellbore annulus, and recognize the waveform reflected by fluid level. Results show that the device can effectively detect the depth of the working fluid level, meeting the needs of normal production activities in oil field.
목차
Abstract 1. Introduction 2. Measurement Theory and Hardware Design 2.1. Hardware Design 2.2. Measurement Theory 3. Identification of Fluid Level 4. Field Test 5. Conclusion 6. Acknowledgements References
키워드
working fluid levelwavelet transformacoustic methodNI single-board RIO
저자
Bingkun Gao [ Electrical Information & Engineering Academy, Northeast Petroleum University ]
Liyang Jin [ Electrical Information & Engineering Academy, Northeast Petroleum University ]
Running Gao [ 180 w. big springs rd. apt.23, Riverside, California, PC 92507 ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.6