Support-vector-regression-based prediction of water holdup in horizontal oil-water flow by using a bicircular conductance probe array

Xu, Lijun; Zhang, Wen; Zhao, Jiayu; Cao, Zhang; Xie, Ronghua; Liu, Xingbin; Hu, Jinhai

doi:10.1016/j.flowmeasinst.2017.08.003

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…As a result, array capacitance, array resistance, and array fiber are frequently used to measure local holdup, while array spinner is frequently used to measure local velocity. These methods more correctly reflect the local flow information in the wellbore [9][10][11][12][13]. For total oil-water flow rate and fractional phase flow rate inversion calculations, among other things, stratified flow models and drift models are frequently created [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Model Based on the Random Forest Algorithm That Predicts the Total Oil–Water Two-Phase Flow Rate in Horizontal Shale Oil Wells

Zhou

Liu

Fei³

et al. 2023

Processes

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Due to variables like wellbore deviation variation and flow rate, the local flow velocity in the output wellbore of horizontal shale oil wells varied significantly at various points in the wellbore cross-section, making it challenging to calculate the total single-layer production with accuracy. The oil–water two-phase flow rate calculation techniques for horizontal wells developed based on particular flow patterns and array spinners had excellent applicability in their respective niches but suffered from poor generalizability and demanding experience levels for logging interpreters. In this study, we employed five spinners in a triangular walled array instrument to create the multi-decision tree after figuring out how many leaf nodes there were and examining the defining characteristics of the observed values gathered under various experimental setups. The construction of the entire oil–water two-phase flow prediction model was made possible when the random forest regression approach was used with it. The total oil–water flow rate at each perforated layer was predicted using the model in sample wells, and the mean square error with the third party’s interpretation conclusion was 1.42, indicating that the model had an excellent application effect. The approach, which offered a new interpretation method for calculating the oil–water two-phase flow rate of horizontal wells based on multi-location local flow rate, required less interpretation knowledge from the interpreter and had a stronger generalization capacity.

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Section: Introductionmentioning

confidence: 99%

A Model Based on the Random Forest Algorithm That Predicts the Total Oil–Water Two-Phase Flow Rate in Horizontal Shale Oil Wells

Zhou

Liu

Fei³

et al. 2023

Processes

View full text Add to dashboard Cite

show abstract

“…Zong et.al [17] proposed using eight annular conductance sensors and five mini conductance probe sensors to study the inclined Oil-water two-phase flow characteristics. Xu et al [18] designed a bicircular conductance probe sensor array for measuring water holdup in simulation horizontal well for Oil-water two-phase flow.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Measuring Water Holdup of Oil-Water Two-Phase Flow in Horizontal Wells

Wang

Han

Hao³

et al. 2022

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The production profile logging technology of Oil-water two-phase flow is an important support technology for efficient development of horizontal oil wells. Moreover, the water holdup of Oil-water two-phase flow is one of the important dynamic measurement parameters for production profile logging technology. Flow patterns in horizontal oil wells are more complex than those in vertical oil wells, making water holdup measurements more difficult. In China, horizontal oil wells are characterized by low liquid production, high water cut and layered development; hence, the concentrating flow logging scheme is adopted to reduce the effects of flow patterns on measurement. In this paper, we proposed a new method of measuring water holdup of Oil-water two-phase flow for the production profile logging in horizontal oil wells. Firstly, the structure of water holdup sensors and the measuring principle of water holdup were introduced. Secondly, the dynamic test research was carried out on the horizontal well simulation facility by using the test prototype of the water holdup measurement method of Oil-water two-phase flow. Additionally, the response characteristics of water holdup sensors at five inclined angles were emphatically discussed. Finally, the measurement error of water holdup was calculated and evaluated in detail. Experimental results show that the absolute values of measurement error of water holdup are less than 5% while the total flow rate ranged from 10 m3/d to 200 m3/d, and the water cut ranged from 30% to 90%, respectively.

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Design of sudden contraction return bend pipe for the measurement of holdup and fouling characteristics: a CFD analysis

kumar,

Sharma

2023

Int J Interact Des Manuf

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Support-vector-regression-based prediction of water holdup in horizontal oil-water flow by using a bicircular conductance probe array

Cited by 5 publications

References 24 publications

A Model Based on the Random Forest Algorithm That Predicts the Total Oil–Water Two-Phase Flow Rate in Horizontal Shale Oil Wells

A Model Based on the Random Forest Algorithm That Predicts the Total Oil–Water Two-Phase Flow Rate in Horizontal Shale Oil Wells

A New Method for Measuring Water Holdup of Oil-Water Two-Phase Flow in Horizontal Wells

Design of sudden contraction return bend pipe for the measurement of holdup and fouling characteristics: a CFD analysis

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