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Engineering, Technology & Applied Science Research Vol. 13, No. 4, 2023, 11332-11337 11332  
 

www.etasr.com Ghaly et al.: Diagnosis of Two-Phase Oil/Gas Flow in a Closed Pipe using an 8-Electrode ECT System 

 

Diagnosis of Two-Phase Oil/Gas Flow in a 
Closed Pipe using an 8-Electrode ECT System 

 

Sidi Mohamed Ahmed Ghaly  

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia | Ecole 
Normale Supérieure, Mauritania 
smghaly@imamu.edu.sa 
 
Mohammed Shalaby 

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia 
myshalaby@imamu.edu.sa 
 
Mohammad Obaidullah Khan 

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia 
okkhan@imamu.edu.sa 
 
Khaled Alsnaie 

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia 
kalsnaie@imamu.edu.sa 
 
Asad Ali Mohammed 

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia 
asad207@imamu.edu.sa 
 
Faisal Baloshi 

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia 
fbaloshi@imamu.edu.sa 
 
Abdalmajid Imad 

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia 
aimad@imamu.edu.sa 
 
Majdi Taha Oraiqat 

Electrical Engineering Department, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia 
mtoraiqat@imamu.edu.sa 

Received: 4 May 2023 | Revised: 24 May 2023 and 26 May 2023 | Accepted: 29 May 2023 

Licensed under a CC-BY 4.0 license | Copyright (c) by the authors | DOI: https://doi.org/10.48084/etasr.6011 

ABSTRACT 

Electrical tomography techniques have been developed to monitor the internal behavior of industrial 

processes. Electrical capacitance gives the best benefits over other tomography modalities, as it has no 

radiation, is non-intrusive, and has a low cost. This study investigated the diagnosis of two-phase oil/gas 

flow in a closed pipe, using an image data capture system for an 8 external electrode Electrical Capacitance 

Tomography (ECT) sensor. The system had a high-resolution ratio, a small measurement error, and was 

able to remove the effects of stray capacitance. Experimental measurements were carried out on two 

different materials that filled the space inside the pipe in different proportions to determine the sensitivity 

and accuracy of the measurement. The results showed that the system had fast image data capture time, 

high accuracy, a very small resolution ratio, and a good signal-to-noise ratio and quality factor. 



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Keywords-ECT sensor; imaging; electrode; permittivity; fluid dynamics; sensitivity; accuracy 

I. INTRODUCTION  

Electrical Capacitance Tomography (ECT) is a widely used 
imaging technique in monitoring and diagnosing the internal 
dynamics of the flow mechanism of gaseous or liquid materials 
in the process industry [1-5]. ECT is an economic, non-
interrupting or non-invasive, and fast-responding imaging 
scheme, as it can produce real-time images with an 
approximate speed of 100 fps. Different experimental studies 
showed that the Water-in-Liquid Ratio (WLR) and Gas 
Volume Fraction (GVF) in an oil-gas-water flow can be 
roughly calculated or measured by ECT with suitable 
algorithms [6-7]. Obtaining a high-speed image along with 
quantitative measurements of a multiphase flow system is a 
challenging demand in the petroleum industry and hydraulic 
applications. ECT can also be used to detect corrosion and 
leakage or monitor liquid dynamics in a petroleum/gas pipeline 
network [8-10]. It can also be used to investigate the 
distribution of spatial permittivity in a defined region in the 
interior of a closed pipe. ECT works on the principle of 
measuring capacitances between electrodes located outside the 
sample portion in the region of investigation. In general, the 
specimen region can be a hollow pipe carrying a liquid or gas. 
The data obtained from these electrodes are processed to 
reconstruct the internal image of the pipe. The necessary 
elements of a typical ECT system are a set of multi-electrode 
sensors mounted equidistant around the pipe, a data retrieval or 
acquisition system, and an image reconstruction block, as 
shown in Figure 1 [11-12]. Using N electrodes in the sensor for 
capacitance measurements, there will be M independent 
capacitance measurements as expressed in: 

� = � (���)	      (1) 
In the present case, as shown in Figure 2, an 8-electrode 

sensor needs 28 independent measurements of electrode pairs 
as:1-2, 1-3, ..., 1-8; 2-3, 2-4, ..., 2-8; ..., up to 7-8. 

 

 
Fig. 1.  A typical ECT system with 8 electrodes. 

 
Fig. 2.  Cross section of a typical 8-electrode ECT system. 

In general, ECT systems directly employ the "raw" 
capacitance data obtained from the sensor to develop images 
using Linear Back-Projection (LBP) and recursive or neural 
network algorithms [10]. The LBP algorithm is one of the most 
popular methods due to its simplicity and high rates of image 
reconstruction. An LBP image is obtained by overlaying the 
sensor sensitivity maps for all electrode pairs after weighting 
by the corresponding measured changes in normalized 
capacitance. This can be represented mathematically as: 


(�) =
∑ ∑ �
� �
�(�)���
��

���

��
∑ ∑ ���(�)���
��

���

��

   (2) 

��� =
�
�

���
�
�

�
�
� ��
�

�      (3) 

where N represents the number of electrodes in the ECT sensor, 
X(p) is the fraction of a high permittivity material in the p-th 
pixel, S is the sensitivity of electrode pair i-j at the p-th pixel, 
Cij represents the capacitance of the electrode pair i-j when the 
sensor is filled with low and high permittivity materials, 
respectively, c

m
 is the raw measured capacitance of the 

electrode pair i-j, and λij is the change in normalized 
capacitance of the respective electrode pair. 

II. ELECTRICAL MODELING OF THE ECT SENSOR 
WITHOUT RADIAL SCREEN 

Consider an ECT sensor with eight external electrodes 
without radial screens, as shown in Figure 2. These electrodes 
can be made with a flexible printed circuit board with greater 
precision in size and position. Without radial screens, the 
external capacitances must be considered, as they have 
considerable capacitance. A model of capacitance measured Cm 
with radial screens for one pair of electrodes, that is the 
capacitance between two measurement electrodes through the 
space outside them, can be given as the combination of an 
internal capacitance Cx, two pipe wall capacitances Cw1, Cw2, 
and two stray capacitances Cs1, Cs2, as demonstrated in Figure 
3(a). This can be further simplified as shown in Figure 3(b) 
[13]. The equivalent capacitance Cm can be calculated 
mathematically as: 

�� = ��� ��!�"     (4) 

 
                                  (a)                                                           (b) 

Fig. 3.  Electrical Model of 8-electrode sensing system without radial 
screen: (a) Model with all capacitances, (b) simplified model. 

The unknown capacitances Cw and Cx can be found by 
filling a material of known relative permittivity r1 into the 
sensor. This process is repeated with another material of known 



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relative permittivity of r2 and the air. Thereafter, by finding Cx 
and Cw, the internal capacitance with any fluid existing inside 
the region of interest in the PVC pipe can be calculated from 
the raw capacitance measured using (4). This can be rearranged 
as follows: 

� = �#  �$ /��# & �$ �   (5) 
III. CALCULATION OF THE SENSITIVITY MAP OF 

THE 8-ELECTRODE ECT 

Consider the circular sensor filled with one-phase with air 
dielectric constant and fitted with eight electrodes. The wall 
permittivity is constant. Thus, the domain of the model is the 
unit square Ω on the x-y plane, representing the cross-section 
of the scaled sensor area. The electrodes are placed on the unit 
square x

2
=1, where x is the length of the side and the boundary 

of Ω. Suppose that the relative radial thickness of the wall is t0 
(0<t0<1), and denotes the interior cavity by [14-15]:  

'( = )(*, ,): * 	 . (1 & 0()	1   (6) 
The electric potential u(x, y) on Ω is governed by Poisson’s 

equation derived for the static electric field, which is given by: 

∇(3∇4) = 0'     (7)  
where ε = ε(x, y) > 0 is the relative permittivity distribution in 
Ω. A finite difference method was employed to discretize the 
differential equation for the numerical solution using 
rectangular coordinates. 

The simulation was assumed for a cross-sectional circular 
shape, which can be a cylindrical non-metal container. ECT is 
difficult to perform on metallic cylinders, as the metals leak the 
charge all over their surface and make the theoretic 
assumptions wrong for calculations. On a non-metallic surface, 
the electrodes are attached and a voltage is applied, which 
passes through the non-metallic cylinder from the inside and 
through the fluid or gas. This creates a small charge that 
accumulates in the fluid or gas and creates a small capacitance 
since when a potential is applied to one electrode, the other 7 
electrodes act as ground. The technique of 8-electrode ECT is 
like 7 capacitors along the surface of the cylinder. However, as 
the permittivity and voltage between the plates are very small 
and the distance between the electrodes is greater, a very low 
capacitance is measured. If the permittivity of the fluid or gas 
and their potential breakdown are known, an increase in 
voltage below the breakdown voltage can lead to better 
performance of the ECT technique. The breakdown voltage is 
the voltage at which an arc occurs between the electrodes. 
Figure 4 shows the electric potential between the energized 
electrode 1 and the grounded electrodes 2-8. The sensitivity 
map Sij is obtained on a cylinder object fixed with 8 electrodes. 
Figure 5 shows S12 between the first and second electrodes. 
Electrode 1 is energized at a low voltage of 0.02 V and 
electrode 2 is grounded, which has some stray charge on it, as 
the metal electrodes cannot be charged after applying an 
electric field. Similarly, electrode 1 is energized at a low 
voltage of 0.02 V, and electrode 3 is grounded having some 
stray charge. The potentials for electrodes 1 and 3 are 
illustrated below. This can be demonstrated for all 
combinations of 1-8 electrodes in the ECT sensor, as shown in 

Figure 6. Figure 7 shows S13 between the first and third 
electrodes. 

 
Fig. 4.  Electric Potential between Electrodes 1 and 2. 

 
Fig. 5.  Sensitivity map between electrodes 1 and 2. 

 
Fig. 6.  Electric potential between electrodes 1 and 3 at low intensity. 

 
Fig. 7.  Sensitivity map between electrodes 1 and 3. 



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Figure 8 illustrates the potential distribution from electrode 
1 to electrode 3 when a high voltage of 1000 V is applied. If 
carefully analyzed, there is a continuous decrease in voltage 
until the second electrode is approached. It seems as an 
exponential decrease in voltage, but when applying a higher 
voltage at electrode 1, a more positive expectation of 
capacitance is measured. The application of higher voltage is 
due to the limitation of the medium which is transmitted 
through the cylindrical pipes, and its effect needs to be studied. 

 

 
Fig. 8.  Electric potential between electrodes 1 and 3 at high voltage. 

IV. IMPLEMENTATION FOR SENSITIVITY 
MEASUREMENT 

The AC-ECT system includes hardware and software, in 
particular software drivers and ECTGUI. As shown in Figure 9, 
the hardware has a front-end unit in a 19'' Eurocase, with an 
internal power supply and an NI DAQ board/card operated by a 
host PC. Two NI DAQ units are supported: the NI PCI-6024E 
DAQ board that works with a desktop PC and the NI PCMCIA 
6062E DAQ card that works with a laptop. Both NI DAQ units 
use a 68-way ribbon cable with the same female connectors 
connected to the 19'' Eurocase, but a different female connector 
at the other end to connect to the PC [16]. 

 

 
Fig. 9.  Hardware blueprint. 

This section presents the results of the experiments carried 
out using the 8-electrode ECT sensor, with dimensions 
specified in Table I, to quantify its sensitivity. The accuracy of 
the sensor may also depend on physical specifications and 
assumptions. If the tube wall is made up of a dielectric 
material, electrodes can be installed inside or outside [17-18], 
but if the wall is conductive there is only one choice to design 
the electrode location (external electrode). However, as the 
proposed design used dielectric material, the electrodes were 
put outside the pipe because it is easier to design. The number 

of electrodes depends on capacitance, circuit complexity, and 
data acquisition speed. Using more electrodes provides a better 
image, but they are difficult to measure. In most cases, the 
number of electrodes used is 8 or 12, whereas this study used 8. 
A guard electrode is required to improve measurement 
sensitivity and prevent the electric field from reaching the 
ground and the end of the measuring electrode [19]. They must 
be used if the length of measuring electrodes is less than 
approximately twice the sensor diameter. Finally, it is 
important to add a discharge resistor. The resistor must be 
connected between each electrode and the driven guard and 
earth to avoid a static charge and damage to the measuring 
sensor. Typically, the resistance value is 1 MΩ. If the 
capacitance of the inter-electrodes is around 1 pF, an earthed 
screen is required around the electrodes to avoid unwanted or 
external signals. Figure 10 shows a photo of the typically 
developed prototype. 

 

 
Fig. 10.  A typical 8-electrode ECT sensor. 

TABLE I.  DIMENSIONS OF THE SENSOR PARTS 

Component  Dimensions 

Electrode dimensions= length×width 15×1.7 cm 
Gap between electrodes 0.275 cm 

External circumference of pipe 15.8 cm 
Outer radius of pipe 2.51 cm 

Inner pipe cross section area 19.86 cm2 
Total volume of the ECT section (electrode region): Vtotal= 

19.86×15 
297.9 cm3 

 

V. RESULT AND DISCUSSION 

A. Sensitivity of Measurements 

Two dielectric materials were used to calibrate the 
developed sensor: oil and air. Then, different amounts of oil 
were introduced into the pipe, where the air surrounded the oil. 
Figure 11 shows that the smallest amount to be detected had a 
cross-sectional area of 0.97 cm

2
 (volume = 14.56 cm

3
 and 

quantity = 0.67 L). A minimum detectable value was defined as 
the product of the dielectric constant to describe the POS 
sensitivity of the ECT sensor. The difference between the two 
dielectric materials (air and oil) was multiplied by the 
minimum detectable volume of the object and divided by the 
volume of the sensor section as in (6): 



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678 = ∆3:
;�<

;=>=?� 
 × 100    (6) 

where POS is the percentage of sensitivity [20], Δεr is the 
difference between the dielectric constants of the full and 
empty states, Vmd is the minimum detectable volume of the 
object, and Vtotal is the total volume of the ECT Sensor. In the 
present case of oil Δεr = 6. From Figure 10, the calculated 
sensitivity of the POS measurements was 67.4%. Figure 11 
shows the decrease in the amount of oil gradually searching for 
the minimum detectable volume of the object Vmd. 

 

(a) 

 
 

(b) 

 
Fig. 11.  Sensitivity patterns with variable amounts of different materials. 

B. Accuracy of the Obtained Image 

The accuracy of the measurements [21] was calculated 
from the images obtained. Two different dielectric materials 
were considered, where the empty state was air and the full 
state was lubricating oil (density = 823 kg/m

3
). An amount of 

lubricating oil was introduced so that when the pipe was placed 
horizontally, it was half filled with lubricating oil. Referring to 
Figure 11, it was discovered that the separation line between 
the lubricating oil and the air deviated from being a sharp line. 
The gradual change from blue (air) to red color (lubricating oil) 
indicates that the accuracy of the sensor was not high enough. 
To quantify the accuracy of the ECT sensor, the percentage of 
accuracy (POA) was defined as follows: 

POA = D1 & EFGH IJFKLGHMMNOPQH RFPOHIHST × 100  (7) 

The POA term was introduced to represent the percentage 
of accuracy. In the case of Figure 12, POA was achieved to be 
as high as 82%. 

 

 
Fig. 12.  Illustration of sensitivity pattern with two different materials when 
it is placed horizontally. 

Figure 12 shows the line separation between the two 
different dielectric materials (lubricating oil and air) when the 
pipe is placed horizontally. The results obtained with the 
developed sensor with eight external electrodes show that the 
larger the width of the electrodes, the more accurate the 
measurements. Moreover, the shorter the electrode length, the 
more sensitive the measurements. These observations were 
made while keeping the same gap between the electrodes and 
for the same cross-sectional area. 

VI. CONCLUSION 

This paper presented the modeling, simulation, and 
experimental measurements of an ECT sensor having eight 
external electrodes. In terms of modeling, the potential 
distribution, the electric field, and the sensitivity map were 
obtained to extract the dependence of the sensor characteristics 
in terms of sensitivity and accuracy on the sensor parameters. 
To verify the modeling results, an 8-electrode ECT sensor was 
developed and implemented, and experimental measurements 
were carried out on two different materials filling the pipe with 
different proportions to determine the sensitivity of the 
measurements and the accuracy of the probe. Furthermore, 
definitions of accuracy and sensitivity were developed and 
calculated for the developed sensor to validate the simulation 
results. 

ACKNOWLEDGEMENT 

This project was funded by the National Plan for Sciences, 
Technology, and Innovation (MAARIFAH), King Abdulaziz 
City for Science and Technology, Kingdom of Saudi Arabia 
award number (14-ELE741-08). 

REFERENCES 

[1] K. J. Alme and S. Mylvaganam, "Comparison of Different Measurement 
Protocols in Electrical Capacitance Tomography Using Simulations," 
IEEE Transactions on Instrumentation and Measurement, vol. 56, no. 6, 
pp. 2119–2130, Sep. 2007, https://doi.org/10.1109/TIM.2007.908315. 

[2] R. K. Rasel, S. M. Chowdhury, Q. M. Marashdeh, and F. L. Teixeira, 
"Review of Selected Advances in Electrical Capacitance Volume 
Tomography for Multiphase Flow Monitoring," Energies, vol. 15, no. 
14, Jan. 2022, Art. no. 5285, https://doi.org/10.3390/en15145285. 

[3] J. W. Park, J. M. Ha, H. M. Seung, H. Jang, and W. Choi, "Thickness 
evaluation of Cr coating fuel rod using encircling ECT sensor," Nuclear 
Engineering and Technology, vol. 54, no. 9, pp. 3272–3282, Sep. 2022, 
https://doi.org/10.1016/j.net.2022.03.035. 

[4] Y. Tang, W. Lin, S. Xiao, K. Tang, and X. Lin, "A Measurement 
Compensation Method for Electrical Capacitance Tomography Sensors 
with Inhomogeneous Electrode Parameters," Electronics, vol. 11, no. 18, 
Jan. 2022, Art. no. 2957, https://doi.org/10.3390/electronics11182957. 

[5] Z. Li, S. Xiao, Q. Yue, and T. Wang, "Electrical Capacitance 
Tomography Sensor With House Structure for Assisting Recognition of 
Objects," IEEE Sensors Journal, vol. 22, no. 5, pp. 4534–4544, Mar. 
2022, https://doi.org/10.1109/JSEN.2022.3143709. 

[6] R. Banasiak et al., "Study on two-phase flow regime visualization and 
identification using 3D electrical capacitance tomography and fuzzy-
logic classification," International Journal of Multiphase Flow, vol. 58, 
pp. 1–14, Jan. 2014, https://doi.org/10.1016/j.ijmultiphaseflow.2013. 
07.003. 

[7] D. Chen, Y. Han, J. Huang, L. Wang, and X. Yu, "An Image Data 
Capture System for Electrical Capacitance Tomography of Oil/Water 
Two-Phase Flow," in 2006 IEEE International Conference on 
Information Acquisition, Veihai, China, Dec. 2006, pp. 722–726, 
https://doi.org/10.1109/ICIA.2006.305817. 



Engineering, Technology & Applied Science Research Vol. 13, No. 4, 2023, 11332-11337 11337  
 

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[8] Z. Cui, H. Wang, L. Tang, L. Zhang, X. Chen, and Y. Yan, "A Specific 
Data Acquisition Scheme for Electrical Tomography," in 2008 IEEE 
Instrumentation and Measurement Technology Conference, Feb. 2008, 
pp. 726–729, https://doi.org/10.1109/IMTC.2008.4547132. 

[9] Z. Cui et al., "A review on image reconstruction algorithms for electrical 
capacitance/resistance tomography," Sensor Review, vol. 36, no. 4, pp. 
429–445, Jan. 2016, https://doi.org/10.1108/SR-01-2016-0027. 

[10] X. Dong and S. Guo, "Modelling an electrical capacitance tomography 
sensor with internal plate electrode," in 2009 International Conference 
on Test and Measurement, Hong Kong, China, Sep. 2009, vol. 2, pp. 
160–163, https://doi.org/10.1109/ICTM.2009.5413087. 

[11] Z. Fan and R. X. Gao, "A new sensing method for Electrical Capacitance 
Tomography," in 2010 IEEE Instrumentation & Measurement 
Technology Conference Proceedings, Austin, TX, USA, Feb. 2010, pp. 
48–53, https://doi.org/10.1109/IMTC.2010.5488269. 

[12] S. M. A. Ghaly, "LabVIEW Based Implementation of Resistive 
Temperature Detector Linearization Techniques," Engineering, 
Technology & Applied Science Research, vol. 9, no. 4, pp. 4530–4533, 
Aug. 2019, https://doi.org/10.48084/etasr.2894. 

[13] Z. Guo, "New normalization method of imaging data for electrical 
capacitance tomography," in 2011 International Conference on 
Mechatronic Science, Electric Engineering and Computer (MEC), Jilin, 
China, Dec. 2011, pp. 1126–1130, https://doi.org/10.1109/MEC. 
2011.6025665. 

[14] A. Gupta, M. A. Abdelrahman, and W. A. Deabes, "A feature based 
solution to Forward Problem in Electrical Capacitance Tomography," in 
2009 41st Southeastern Symposium on System Theory, Tullahoma, TN, 
USA, Mar. 2009, pp. 49–53, https://doi.org/10.1109/SSST.2009. 
4806824. 

[15] S. M. A. Ghaly, K. A. Al-Snaie, M. O. Khan, M. Y. Shalaby, and M. T. 
Oraiqat, "Design and Simulation of an 8-Lead Electrical Capacitance 
Tomographic System for Flow Imaging," Engineering, Technology & 
Applied Science Research, vol. 11, no. 4, pp. 7430–7435, Aug. 2021, 
https://doi.org/10.48084/etasr.4122. 

[16] S. Liu, L. Fu, and W. Q. Yang, "Optimization of an iterative image 
reconstruction algorithm for electrical capacitance tomography," 
Measurement Science and Technology, vol. 10, no. 7, Apr. 1999, Art. 
no. L37, https://doi.org/10.1088/0957-0233/10/7/102. 

[17] N. Reinecke and D. Mewes, "Recent developments and 
industrial/research applications of capacitance tomography," 
Measurement Science and Technology, vol. 7, no. 3, Nov. 1996, Art. no. 
233, https://doi.org/10.1088/0957-0233/7/3/004. 

[18] L. Sheng, S. Yijian, and Z. Guibin, "Design of Data Acquisition System 
for 12-Electrode Electrical Capacitance Tomography," in 2007 
International Conference on Mechatronics and Automation, Harbin, 
China, Dec. 2007, pp. 2293–2297, https://doi.org/10.1109/ICMA.2007. 
4303910. 

[19] L. A. Abdulkareem, "Identification of Oil-Gas Two Phase Flow in a 
Vertical Pipe using Advanced Measurement Techniques," Engineering, 
Technology & Applied Science Research, vol. 10, no. 5, pp. 6165–6171, 
Oct. 2020, https://doi.org/10.48084/etasr.3679. 

[20] Y. Yang, J. Jia, and H. McCann, "A faster measurement strategy of 
electrical capacitance tomography using less sensing data," in 2015 
IEEE International Conference on Imaging Systems and Techniques 
(IST), Macau, China, Sep. 2015, pp. 1–5, https://doi.org/10.1109/ 
IST.2015.7294533. 

[21] T. A. York, "Status of electrical tomography in industrial applications," 
Journal of Electronic Imaging, vol. 10, no. 3, pp. 608–619, Jul. 2001, 
https://doi.org/10.1117/1.1377308.