Development of a cuttings migration simulation device based on electrical resistance tomography technology

Shiyan Xing; Daqian Yang; Shuaibin Zhang

doi:10.1117/12.3045781

20 September 2024 Development of a cuttings migration simulation device based on electrical resistance tomography technology

Shiyan Xing, Daqian Yang, Shuaibin Zhang

Author Affiliations +

Proceedings Volume 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024); 132691E (2024) https://doi.org/10.1117/12.3045781
Event: Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Monitoring cuttings migration in boreholes is crucial for ensuring the safety and efficiency of oil drilling operations. This paper details the design of a borehole cuttings migration monitoring simulation system based on Electrical Resistance Tomography (ERT) technology. The system includes a cuttings circulation module that ensures the continuous migration of cuttings within the system, and a cuttings monitoring module that employs ERT technology. By arranging an array of electrodes around the borehole, the monitoring module obtains real-time resistivity data and its variations, processes this data, and generates images on the host computer. The aim is to quantitatively and qualitatively analyze the state of cuttings migration in the borehole through measurement technology. Experimental results demonstrate that the system can accurately and effectively capture the trajectory of cuttings migration, providing reliable data support and a theoretical basis for drilling safety management and cuttings migration research.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shiyan Xing, Daqian Yang, and Shuaibin Zhang "Development of a cuttings migration simulation device based on electrical resistance tomography technology", Proc. SPIE 13269, Fourth International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2024), 132691E (20 September 2024); https://doi.org/10.1117/12.3045781

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