Automatic Well Refill Control and Forecasting Potential Well Control Loss Through Refill Monitoring

Abstract This paper presents an advanced automatic well refill control system designed to calculate and monitor drilling fluid volumes in real time during tripping operations. The system enhances well control by minimizing risks such as stuck pipe and loss of well control while improving operational efficiency. Utilizing state-of-the-art sensors, sophisticated algorithms, and robust redundancy features, it offers continuous monitoring and predictive capabilities that enable early detection of anomalies such as influxes and fluid losses. Field tests demonstrate compelling results, a 30% reduction in stuck pipe incidents and a 15% improvement in overall operational efficiency, which underscore the system's potential to revolutionize well control practices by shifting from reactive to proactive strategies. In doing so, this technology contributes to the evolution of drilling operations by aligning with the industry's drive toward automation and precision. The system also provides practical tools for drilling engineers to mitigate risks effectively, enhance environmental safety, and reduce non-productive time (NPT).

Authors

Institutions

Publication Details

Published
2025-09-16
DOI
https://doi.org/10.2118/227272-ms
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatic Well Refill Control and Forecasting Potential Well Control Loss Through Refill Monitoring

Dmitry I. Ignatov, S. Rashidi Aghdam
Reservoir Engineering and Simulation Methods
article

Automatic Well Refill Control and Forecasting Potential Well Control Loss Through Refill Monitoring

Dmitry I. Ignatov, S. Rashidi Aghdam
article en

Abstract

Abstract This paper presents an advanced automatic well refill control system designed to calculate and monitor drilling fluid volumes in real time during tripping operations. The system enhances well control by minimizing risks such as stuck pipe and loss of well control while improving operational efficiency. Utilizing state-of-the-art sensors, sophisticated algorithms, and robust redundancy features, it offers continuous monitoring and predictive capabilities that enable early detection of anomalies such as influxes and fluid losses. Field tests demonstrate compelling results, a 30% reduction in stuck pipe incidents and a 15% improvement in overall operational efficiency, which underscore the system's potential to revolutionize well control practices by shifting from reactive to proactive strategies. In doing so, this technology contributes to the evolution of drilling operations by aligning with the industry's drive toward automation and precision. The system also provides practical tools for drilling engineers to mitigate risks effectively, enhance environmental safety, and reduce non-productive time (NPT).

Muscat College (OM)
Openalex Percentile: Top 67%
Reservoir Engineering and Simulation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.