Drilling Effectively in The Target Zone Using a Smart Alert System to Reduce Non-Productive Time in Geosteering Operations

Authors

  • Yustian Rahanjani
  • Budhi Nugraha Petrolink

Keywords:

geosteering, drilling, smart alert, efficiency, real-time data

Abstract

This paper discusses the benefits of using a smart alert system for the detection of geological boundaries, and how this system enhances decision making during geosteering operations. Monitoring multiple wells in a high operation environment is a big challenge for geosteering operations. Using Managed By Exception (MBE), an integrated smart system that produces an alert when the well deviates from the target zone while drilling is a solution which can greatly improve operations efficiency. Real-time drilling data is processed through the integrated alert system by a set of algorithms that can recognize when the drill-bit goes out of the reservoir. This is based on Logging While Drilling (LWD) characteristics. The smart system can then recommend if an adjustment in inclination is required to keep the best contact with the reservoir. This creates a seamless geosteering workflow. Geologists and petrophysicists can now leverage a comprehensive understanding of real-time data infrastructure, log formats, and data processing. This fosters effective communication about reservoir condition We believe MBE setup significantly improves geosteering efficiency and encourages others to utilize the power of real-time data analysis.

References

A. R., Moazzeni, M., Nabaei, & S., Ghadami Jegarluei., 2011, Non-productive time reduction through a deep rig time analysis: SPE Digital Energy Conference and Exhibition, Woodlands, p. 2-3,8.

Alsanie, F. S., Khudiri, M., Talhah, N. A., Abdulrahman, R. H., Kashif, M., & Ashraf, H. M., 2017, Virtual geosteering: SPE Middle East Oil & Gas Show and Conference 2017, Bahrain, p.3-4.

Benzine, A., El Khair, A., Buiting, S., et al., 2024, AI-Automated Drilling RTOC with ML and Deep Learning Anomaly Detection Approach. SPE ADIPEC 2024, Abu Dhabi.

Elgamal, A., Fouda, M., Chen, Y., et al., 2025, Optimizing Drilling Performance Through Real-Time Automated Data Analytics to Proactively Prevent Premature Wear of Drill Bits While Drilling, SPE/IADC Middle East Drilling Technology Conference and Exhibition 2025, Abu Dhabi.

Calleja, B., Market, J., Pitcher, J., & Bilby, C., 2010, Multi-sensor geosteering: . SPWLA 51st Annual Logging Symposium, Perth, p.1.

Kanfar, M. F., 2012, Real-time integrated petrophysics: geosteering in challenging geology & fluid systems: SPE Saudi Arabia Young Professionals Technical Symposium 2012, Dhahran, p.1.

Purnomo, H., & Tobing, E. M. L., 2007. Pengembangan Simulator Pengendalian Sumur pada Pemboran Vertikal, Berarah, maupun Horizontal. LPMBG Journal, Jakarta, p. 12.

Widarsono, B., Atmoko, H., Saptono, F., Tunggal, T., & Ridwan, R., 2004. Fuzzy Logic As A Tool For Estimating Production Potential Of A Sand Layer. Scientific Contributions Oil and Gas, Lemigas, Jakarta, p. 12.

Rahanjani, Y.E., Nair, Ragesh, Nugraha, Budhi, & Ferianto, Teguh, 2018, Calculating Reservoir Footage in Real-Time: A Way To Reduce Non-Productive Time During Development Drilling, SPWLA Asia Pacific Technical Symposium, Jakarta, p.2,7.

Rahanjani, Y. E., & Nugraha, B., 2020. Real-Time Data Transmission and Visualization as a Powerful Technology to Reduce Non-Productive Time During Drilling Operations: Present Day Capabilities, Limitation, and Future Development. Scientific Contributions Oil and Gas, Lemigas, Jakarta, p. 141.

Published

07-08-2025

Issue

Section

Articles