Formation Damage Mechanisms and Management

Wednesday, 18 February

1400 - 1700

Salon A

Technical Session

In this session authors will discuss various formation damage mechanisms, including predictive modeling and management, computer vision and deep learning models, laboratory experimental studies along with a few case studies.

Session Chairpersons

Rama Ponnapati - Baker Hughes

Pavel Bedrikovetsky - University of Adelaide

1400-1430 230544
Experimental and Modelling Study of Authigenic Fines Migration with Detachment by Breakage: Formation damage aspects

B. Dang-Le, T.L. Russell, A. Badalyan, P. Bedrikovetsky, University of Adelaide
1430-1500 230514
A Laboratory study to Better Understand the Formation Damage Using Colored and Fluorescent Particles

R. Oughanem, J. Ochi, TotalEnergies; A. Le Beulze, UGIEL; H. Poitrenaud, L. Carillo, TotalEnergies
1500-1530 230535
Coupling Digital Image Correlation and Fourier Transform Infrared Spectroscopy for Identification and Characterization of Swelling Regions in Heterogeneous Shales

M. Chuprin, M. Mokhtari, University of Louisiana At Lafayette; A. Mitra, Premier COREX
1530-1600 230499
Intelligent Formation Integrity and Damage Prevention System (FIDPS): An Integrated AI and Dynamic Simulation Approach for Prediction and Mitigation

M.P. Sohrabi, Parsa International Group
1600-1630 230569
Automated Characterization of Formation Damage Using Computer Vision and Deep Learning

Y. Wu, Southern Methodist University; A. Ghalambor, Oil Center Research International, LLC.; S. Salehi, Southern Methodist University; C. Phillips, Crested Butte Petrophysical Consultants
1630-1700 230546
Analytical Vertical Equilibrium Model Accounting for Fines Migration and CO₂-Brine Partial Miscibility

K.O. Prempeh, University of Adelaide; F. Le-Hussain, University of New South Wales; R. Farajzadeh, Delft University of Technology; P. Bedrikovetsky, University of Adelaide

Technical Program

Formation Damage Mechanisms and Management