AI Applications in Drilling and Completions II

1600-1620 24135

Deep Learning Real-time Bit-wear Model Approves To Be Robust And Transferable In Hard Drilling Applications

G. Zhan, A. Aljohar, Saudi Aramco PE&D; Y. Qahtani, Saudi Aramco D&WO; X. Huang, T. Luu, T. Furlong, Baker Hughes; J. Bomidi, HCC (Baker Hughes)

1620-1640 24108

Recommendation Engine For Clustering And Identifying Similar Bottom Hole Assemblies

M. Khan, Baker Hughes Co. Saudi Arabia

1640-1700 24176

Application Of ANN-PSO Model For Predicting Fluid Density Of Water-Based, Oil-Based, And Synthetic Drilling Fluids Containing Bio-Additives

Y. Balicaco, J. Arellano, Y. Corpuz, K. Tambiga, Palawan State University

1700-1720 24100

A Data-driven Approach To Infer The Dynamic Linear Swelling Of Shales Treated With Different Water Based Drilling Fluids

M. Khan, SLB; Z. Tariq, KAUST; M. Murtaza, KFUPM

Alternate 24183

Early Warning Method To Detect Mud Motor Stallings Incidents In Drilling Operations Using Machine Learning

B.H. Zomarah, B. Otaibi, M.A. Zahrani, A. Saihati, Saudi Aramco

Alternate 24116

Drilling Anomalies Identification Using Near Bit Vibrations

N. Bukhanov, Aramco Innovations; A. Iufriakova, ITMO University; P. Golikov, A. Bakulin, Saudi Aramco PE&D

Alternate 24114

Application Of Machine Learning In Predicting Cement Properties

A. Shamsan, Halliburton Saudi Arabia; W. Cuello Jimenez, S. Jandhyala, Halliburton Energy Services Group

Alternate 24207

AI-based Sand Screen Selection Via Deep Learning Model: Challenges, Lessons Learned, And Case Studies

S. Ab Rasid, S. Shaffee, Petronas; M. Thant, M. Muhammad, PETRONAS Research Sdn Bhd

2024 Technical Program