02 Completions I - Materials and Data Analytics

Tuesday, 15 April

0930 - 1130

Area D1

Technical Session

This session covers a wide range of completion such as matrix acidizing, hydraulic fracturing and completion tools. Machine learning techniques are used for optimization of friction reducer, corrosion inhibitor and hydraulic fracturing pressure prediction. Contributing authors come from both service and operating companies.

Session Chairpersons

Byron Cottingham - Cottingham Consulting

Maraden Panjaitan - Liberty Energy

0930-1000 224361
Optimizing Corrosion Inhibitor Package To Mitigate Metal Corrosion And Formation Damage: A Machine-learning Advisory Model

D. Bannikov, M. Voronin, A. Khan, M. Ziauddin, SLB
1000-1030 224331
Hydraulic Fracturing Pressure Prediction With Deep Learning Approach

Y. Xie, Q. Ma, Z. Jia, T. Jin, S. Yang, Y. Dong, PetroChina Changqing Oilfield South Sulige Operation Company; N. Li, J. Wang, K. Cao, Total E&P Chine ; H. Li, Y. Luo, Y. Fu, J. Zhang, G. Wang, T. Bukovac, E. Ugarte, SLB
1030-1100 224388
Friction Reducer Advisor: A Real-time Machine Learning Approach

E. Ugarte, A. Khan, S. Flores, B. Hobbs, S. Menasria, T. Drews, SLB
1100-1130 224371
Proppant Transport And Settling Behavior In Complex Fractures For Slickwater Hydraulic Fracturing

S. Li, Research Institute of Petroleum Exploration and Development; X. Yi, Oil and Gas and New Energy Company; B. Cai, Research Institute of Petroleum Exploration and Development; M. Wang, s. shanzhi, Oil Production Technology Research Institute of Xinjiang Oilfield Company; X. Yan, Research Institute of Petroleum Exploration and Development; L. Jianmin, C. Xi, Oil Production Technology Research Institute of Xinjiang Oilfield Company; H. Zhang, Research Institute of Petroleum Exploration and Development

Technical Program

02 Completions I - Materials and Data Analytics