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 Suction Pile Group Effect Under Multidirectional Design Loads
    X. Long, A.M. Radwan, K.M. Tjok, Fugro USA Marine, Inc.; C. Aubeny, Texas A&M University
  • 0950-1008 37156
    Chita: Chain Induced Trench Alarm, A Low-energy Early Warning Concept For Mooring Integrity
    H. Arslan, Chevron Technology Centre; B. Tanju, Chevron Corporation
  • 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; R.B. Gilbert, The University of Texas At Austin; A. Zakeri, BP America Inc
  • 1030-1048 36959
    Pipeline Flotation In Fluidized Soils: Rheological Interpretation Across Liquefaction And Backfilling Scenarios
    F. Pisanò, Norwegian Geotechnical Institute
  • 1050-1108 36884
    Pullback Force Sensitivity For 32” Horizontal Directional Drilled (HDD) Pipeline Installation In Clay Soils
    A. Misra, McDermott Intl. Inc.; A. De Medeiros, McDermott Inc.; D. Gonsalez, G. Ganeshan, M. Araujo, McDermott Intl. Inc.; T. Silva, McDermott
  • 1110-1128 36821
    The Use Of Convolution Neural Network To Categorize Sample Photos By Water Content
    M. Paraguassu, G. Baptista, L. Da Silva, L. Mello, F. Simoes, A. Viana, Benthic; A. Sieira, Universidade Do Estado Do Rio De Janeiro; R. Dias Lopes, F. Macedo, Petrobras
  • 1130-1148 36971
    Machine Learning-based Prediction Of Shear Modulus Variation In Marine Clay
    V.M. Taboada, S. Pant, K. Gan, Fugro; D. Cruz Roque, P. Barrera Nabor, Instituto Mexicano Del Petroleo; F.A. Flores Lopez, Ingenieros Geotecnistas Mexicanos
  • Alternate 36863
    The Use Of Ai To Establish A Procedure To Estimate Unit Weight Profile From Ll In Clays
    L. Da Silva, Acteon Group Ltd; L. MELLO, Benthic Geotech; A. Viana, F. Simoes, G. Baptista, M. Paraguassu, Acteon Group Ltd; E.G. Arduino, V. Ochi, Petrobras
  • Alternate 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