Formation Damage Mechanisms and Management

Wednesday, 18 February

1400 - 1700

Salon B

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 Study Of Authigenic Fines Detachment By Breakage

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 Quartz Particles

R. Oughanem, J. Ochi, H. Poitrenaud, TotalEnergies; A. Le Beulze, UGIEL
1500-1530 230535
Coupling Digital Image Correlation And Fourier Transform Infrared Spectroscopy To Measure Localized Swelling In Heterogenous Shales

M. Mokhtari, M. Chuprin, University of Louisiana at Lafayette; A. Mitra, Premier COREX
1530-1600 230499
Predictive Modeling And Management Of Formation Damage Through Integrated Ai And 3d Dynamic Simulation

M. 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
1630-1700 230525
Investigating Key Parameters On Formation Damage In Carbonates: From Return Permeability Tests To Micro-CT

G.V. Oliveira, M. Rodrigues, Universidade Federal do Rio Grande do Norte; S. Camargo Jr, Petrobras; G. Mentges Arruda, E. Da Silva, Universidade Federal do Rio Grande do Norte
1630-1700 230493
Innovative Strategies To Address Challenging Emulsion And Formation Damage Issues: A Case Study Of Openhole Standalone Screen (OHSAS) Completions

S. Mohd Jeffry, M.B. Mohd Nizam, Petronas Carigali Sdn Bhd

Technical Program

Formation Damage Mechanisms and Management