Author

Xian Shi

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Sep 2026

Lost Circulation Prediction in Deep Naturally Fractured Reservoirs: Integrating Theory Models with Machine Learning Algorithms

Lost circulation is one of the most common incidents during drilling operations in naturally fractured formations. It not only results in significant losses of drilling mud but also increases non-productive time (NPT) and drilling costs. However, predicting lost circulation remains a challenging task, as the lost cir...

Xian Shi, Qi-Long Fang, Xian-Bin Huang et al. · GOTECH · 0 citations

Conference Oct 2026

Real Time Wellbore Stability Prediction for the Natural Fractured Reservoir with Physical-Based Machine Learning Techniques

Wellbore stability remains a persistent and costly drilling challenge, especially in naturally fractured reservoirs, where complex interactions among in-situ stress, geomechanical properties, drilling fluids, and operational parameters govern failure. Traditional analytical and numerical models are time-consuming and...

Xian Shi, Qi-Long Fang, Wei-An Huang et al. · SPE Asia Pacific Oil & G... · 0 citations