The Department of Electrical and Information Engineering (TEDI) at the Vocational School of UGM, in collaboration with PT Parama Data Unit (PDU), developed computer vision technology to analyze drilling cuttings in the oil and gas industry. Monitoring cuttings — the rock material produced during drilling — provides critical information about subsurface rock characteristics that was previously done manually, slowly, and with risk of human error.
The computer vision system analyzes the percentage of cuttings automatically and in real time from CCTV footage in the shale shaker area. The algorithm detects and quantifies the distributed rock areas during drilling, producing rock-composition visualizations and trend graphs that support operational decision-making.
Aldy’s Contribution
The research involved Dr. Eng. Ir. Ganjar Alfian, S.T., M.Eng. and Aldy Ardiansyah from the D4 Software Engineering Technology (TRPL) program, together with Lalu Hendra Permana Setiawan and Irfan Saputra from PT Parama Data Unit. The collaboration demonstrated that computer vision is viable for adoption as part of digital transformation in the energy and drilling sector, supporting SDG 9: Industry, Innovation, and Infrastructure.
Team
- Dr. Eng. Ir. Ganjar Alfian, S.T., M.Eng.
- Aldy Ardiansyah