Research on an Lost Circulation Zone Location Method Based on Transient Pressure Wave

被引:0
作者
Zhang, Ruida [1 ]
Zhu, Zhongxi [1 ]
Wang, Chaofei [2 ]
Guan, Zhigang [3 ]
机构
[1] Yangtze Univ, Leak Resistance & Sealing Technol Res Dept, Natl Engn Lab Petr Drilling Technol, Wuhan 430100, Peoples R China
[2] Xinjiang Oilfield Co, Engn Technol Dept PetroChina, Karamay 834000, Peoples R China
[3] Xinjiang Oilfield Co, Engn Technol Res Inst PetroChina, Karamay 834000, Peoples R China
来源
ACS OMEGA | 2021年 / 6卷 / 39期
基金
中国国家自然科学基金;
关键词
FREQUENCY-DOMAIN ANALYSIS; FUZZY INFERENCE SYSTEM; LEAK DETECTION; MODE DECOMPOSITION; MODULUS MAXIMA; DECISION TREE; PREDICTION; DIAGNOSIS; SPECTRUM; EMD;
D O I
暂无
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Accurately identifying the location of loss zone after lost circulation is the key to subsequent plugging operation. In view of the difficulty of identifying the location of lost circulation zone, a method of identifying the location of loss zone by transient pressure wave signal is proposed. When lost circulation occurs, transient back pressure is applied to the wellhead at the surface choke manifold to produce transient pressure wave. The transient pressure wave propagates downward from the wellhead. The propagation process of transient pressure wave in an annulus system is analyzed, and the position of loss zone is determined according to the change of pressure signal at the choke manifold. Based on the simulation of this method, relevant experiments are also carried out. Aiming at the problem of excessive noise of the pressure wave signal collected in the experiment, variational modal decomposition (VMD) is used to decompose the signal into multiple band-limited intrinsic mode function (BIMF) components. Combined with a Hilbert spectrum, the time-frequency characteristics and energy distribution of each BIMF component are analyzed in turn. The main frequency component is selected to reconstruct the signal to achieve the denoising effect. On this basis, a wavelet modulus maxima method is used to decompose the denoised signal, extract the characteristic points of the signal, identify the loss circulation information in the signal, and then identify the thief zone position by a time-domain method. Through experimental verification, the existence of loss zone will affect the change trend of pressure wave; a VMD-wavelet modulus maxima algorithm can effectively remove the noise of the pressure wave signal and locate the pressure change point. The experimental recognition error range of this method is 0.10-9.22%, which has certain guiding significance for field application.
引用
收藏
页码:25807 / 25818
页数:12
相关论文
共 59 条
  • [1] Intelligent decisions to stop or mitigate lost circulation based on machine learning
    Abbas, Ahmed K.
    Bashikh, Ali A.
    Abbas, Hayder
    Mohammed, Haider Q.
    [J]. ENERGY, 2019, 183 : 1104 - 1113
  • [2] Agin Farough, 2020, [Petroleum, 油气], V6, P423
  • [3] Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors
    Ahmed, Abdulmalek
    Elkatatny, Salaheldin
    Ali, Abdulwahab
    Abughaban, Mahmoud
    Abdulraheem, Abdulazeez
    [J]. JOURNAL OF SENSORS, 2020, 2020 (2020)
  • [4] Aigu D. R., 2007, SOC PET ENG, V1, P241
  • [5] Akamine A. Y, 2003, SPE IADC DRILL C
  • [6] Bogdan A. V, 2016, SPE AS PAC OIL GAS C
  • [7] Numerical study on accuracy of frequency-domain modelling of transients
    Capponi, Caterina
    Zecchin, Aaron C.
    Ferrante, Marco
    Gong, Jinzhe
    [J]. JOURNAL OF HYDRAULIC RESEARCH, 2017, 55 (06) : 813 - 828
  • [8] Caughron D.E., 2002, IADCSPE DRILLING C, DOI [10.2118/74518-MS, DOI 10.2118/74518-MS]
  • [9] Adaptive neuro-fuzzy inference system for prediction of water level in reservoir
    Chang, FJ
    Chang, YT
    [J]. ADVANCES IN WATER RESOURCES, 2006, 29 (01) : 1 - 10
  • [10] Chen Y., 2016, J. Energy Power Eng., V10, P751, DOI [10.17265/1934-8975/2016.12.006, DOI 10.17265/1934-8975/2016.12.006]