Skip to main content

OTC

all white logo and text 
 

2026 Technical Program

Subpage Hero

Loading

Advances in Offshore Geotechnics

Wednesday, 6 May
Room 606
Technical Session
Significant advances are being made in offshore geotechnics, in the areas of soil parameter interpretation, foundation design, installation and operation. These advances are driven by a combination of research and operational experience to supplement industry guidance. The session includes topics related to use of machine learning for soil parameter estimation; pipe-soil interaction; pile group effects; pipeline installation by HDD; operational hazard assessment; and monitoring. This session will showcase these advances and provide an opportunity to re-evaluate best practices in offshore geotechnics.
Chairperson(s)
Amir Rahim, Principal Engineer - NGI Inc.
Christopher Hadley, Learning Advisor for Civil, Offshore and Pipelines - Shell
Sponsoring Society:
  • American Society of Civil Engineers (ASCE)
  • 0930-0948 37143
    Numerical Assessment of Tripod Suction Bucket Foundation Group Effect under Combined Design Loads in Sands
    X. Long, A.M. Radwan, Fugro USA Marine, Inc.; C. Aubeny, Texas A&M University; K. Tjok, Fugro USA Marine, Inc.
  • 0950-1008 37156
    ChITA: Chain Induced Trench Alarm - A Low Energy Early Warning Concept for Mooring Integrity
    H. Arslan, B. Tanju, Chevron
  • 1010-1028 36900
    An Updated Database on Pipe-Soil Interaction Element Testing for Assessing Axial Response of Subsea Pipelines in Fine-Grained Soils
    Z. Westgate, University of Massachusetts Amherst; R. Das, NGI Inc.; P. Jeanjean, BP America Inc.; R.B. Gilbert, The University of Texas At Austin; A. Zakeri, BP America Inc.
  • 1030-1048 36959
    Pipeline Flotation in Fluidized Soils: One-Phase Modeling Across Liquefaction and Backfilling Scenarios
    F. Pisanò, Norwegian Geotechnical Institute; F. Cecinato, University of Milan; M. Cremonesi, G. Della Vecchia, Politecnico di Milano
  • 1050-1108 36821
    The Use of Convolution Neural Network to Categorize Sample Photos by Water Content
    M. Paraguassu, G. Baptista, L. Da Silva, F. Simoes, L. Mello, A. Viana, Benthic; F. Macedo, R. Dias Lopes, Petrobras
  • 1110-1128 36971
    Machine Learning-Based Prediction of Shear Modulus Variation in Marine Clay
    V.M. Taboada, S. Pant, A. Singh, K. Gan, Fugro; F.A. Flores Lopez, Ingenieros Geotecnistas Mexicanos; D. Cruz Roque, P. Barrera Nabor, Instituto Mexicano Del Petroleo
  • 1130-1148 37135
    Design and Installation of High-Density Polyethylene (HDPE) Subsea Outfall Pipelines: Bridging Gaps in Standards and Engineering Practice
    P. Jukes, F. Djayaputra, G. Ponweera, 2H Offshore Inc

Countdown to OTC 2026!

Search