Single-Plane Dual-Modality Tomography for Multiphase Flow Imaging by Integrating Electrical Capacitance and Ultrasonic Sensors

Pusppanathan, Jaysuman; Rahim, Ruzairi Abdul; Phang, Fatin Aliah; Mohamad, Elmy Johana; Ayob, Nor Muzakkir Nor; Rahiman, Mohd Hafiz Fazalul; Seong, Chan Kok

doi:10.1109/jsen.2017.2731867

Cited by 51 publications

(9 citation statements)

References 32 publications

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“…By applying Gauss' law, the charge measurement of the inter-electrode capacitances can be determined from equation (1). Further understanding of ECT modelling is explained in [5]. (1)…”

Section: Fig 1 Electric Fields Of a Parallel Plate Electrodesmentioning

confidence: 99%

Sensitivity Mapping for Electrical Tomography Using Finite Element Method

Pusppanathan

Ameran

Hamzah

et al. 2018

IJIE

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This paper presents the construction of sensitivity map (SM) using finite element method for electrical tomography systems that has the soft-field characteristic such as electrical capacitance tomography (ECT). The SM is generated based on a sixteen-channel ECT system on a 110 mm diameter pipe circumference by using COMSOL Multiphysic. Sensitivity mapping is the pivotal element for tomography imaging in solving the forward problem. The obtained sensitivity map for 120 projections forming a sensitivity matrices are presented in this paper.

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“…By applying Gauss' law, the charge measurement of the inter-electrode capacitances can be determined from equation (1). Further understanding of ECT modelling is explained in [5]. (1)…”

Section: Fig 1 Electric Fields Of a Parallel Plate Electrodesmentioning

confidence: 99%

Sensitivity Mapping for Electrical Tomography Using Finite Element Method

Pusppanathan

Ameran

Hamzah

et al. 2018

IJIE

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“…As a result, water and gas phases can be identified in oil-dominated flow. In 2017, a single-plane ECT-UT dualmodality was proposed, an oil-dominated three-phase flow was successfully imaged [21].…”

Section: Introductionmentioning

confidence: 99%

Dual Modality EIT-UTT for Water Dominate Three-Phase Material Imaging

2020

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Three-phase material imaging such as oil, gas and water is a critical problem in many processes. Monitoring and separation of each phase before corresponding process can be a key to realise cost efficiency production. In the oil and gas industry such a tool can generate great environmental benefits. In recent years, several multi-modality imaging systems are being adapted for such an application. It is not possible to gain information on three phase flow using a single imaging modality that can be deployed in production field. For a three-phase flow dominated by water phase, this is more challenging. The capability of the majority of current dual-modality systems was only demonstrated under limited flow regime conditions. This paper presents a novel combined imaging system including electrical impedance tomography (EIT), and ultrasound transmission tomography (UTT) for mapping three-phase flow. In water dominate mode, the EIT is able to image the nonconductive phases of oil and gas in a water dominate background phase, but not able to separate oil and gas. The EIT two-phase imaging then complimented with the speed of sound imaging of the UTT, which can separate liquid (oil and water) and gas. A dual modality EIT-UTT system combining a 32-electrode EIT array and a 32-transducer UTT sensor array is developed to demonstrate this novel three-phase material imaging. The concept was demonstrated using simulation study and then shown with experimental lab tests. Measurement principles and method are described, experiment based on several three-phase flow scenarios are established, and the results show successful distinguishably for all three phases. INDEX TERMS Three phase flow, electrical impedance tomography, ultrasound travel time tomography.

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“…In 2015, Teniou et al proposed an electrical resistance tomography (ERT)/URT dual-modality imaging method to detect the small lesions in biological soft tissue, where the measurements from URT was used as hard constraints during the EIT image reconstruction process [32]. In 2017, Pusppanathan et al proposed an ECT/ultrasound transmission tomography (UTT) dual-modality imaging method for multiphase flow imaging, where the images from the ECT and UTT are fused by the pixel-based fuzzy logic method, and then used to distinguish oil/gas/water three-phase media [33]. In 2018, Liang et al proposed a shape-based EIT/URT dual-modality imaging method, where some accurate boundaries information about the inclusions detected from URT are used to improve the EIT inclusion boundary reconstruction accuracy [34].…”

Section: Introductionmentioning

confidence: 99%

A Lagrange-Newton Method for EIT/UT Dual-Modality Image Reconstruction

Liang

Ren

Zhao

et al. 2019

Sensors

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An image reconstruction method is proposed based on Lagrange-Newton method for electrical impedance tomography (EIT) and ultrasound tomography (UT) dual-modality imaging. Since the change in conductivity distribution is usually accompanied with the change in acoustic impedance distribution, the reconstruction targets of EIT and UT are unified to the conductivity difference using the same mesh model. Some background medium distribution information obtained from ultrasound transmission and reflection measurements can be used to construct a hard constraint about the conductivity difference distribution. Then, the EIT/UT dual-modality inverse problem is constructed by an equality constraint equation, and the Lagrange multiplier method combining Newton-Raphson iteration is used to solve the EIT/UT dual-modality inverse problem. The numerical and experimental results show that the proposed dual-modality image reconstruction method has a better performance than the single-modality EIT method and is more robust to the measurement noise.

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Single-Plane Dual-Modality Tomography for Multiphase Flow Imaging by Integrating Electrical Capacitance and Ultrasonic Sensors

Cited by 51 publications

References 32 publications

Sensitivity Mapping for Electrical Tomography Using Finite Element Method

Sensitivity Mapping for Electrical Tomography Using Finite Element Method

Dual Modality EIT-UTT for Water Dominate Three-Phase Material Imaging

A Lagrange-Newton Method for EIT/UT Dual-Modality Image Reconstruction

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