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2026 Technical Program

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SPE ATCE

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Dynamic Data Acquisition, Connectivity, and Reservoir Diagnosis

Friday, 23 October
Room 371 AD
Technical Session
This session focuses on integrated simulation, history matching, and optimization techniques for complex reservoirs. The papers showcase advances in Bayesian and ensemble-based history matching, physics-informed machine learning, real-time injection optimization, development planning, and well placement, addressing uncertainty, risk, and value maximization across conventional and unconventional systems.
Session Chairpersons
Luis Zerpa - Colorado School of Mines
Maged Fam - Halliburton
  • 0830-0855 234143
    A Multi-Disciplinary Review of Dynamic Data Acquisition in Exploration and Appraisal Wells with Unconsolidated Sands, Offshore Mexico
    M. Gonzalez Quijano Alvarez, J. Oliveira, N. Tran Dinh, L. Villalobos, J. Major, K. Perez, Repsol; F. Dubost, Schlumberger Petrotechnical Services; H. Nguyen, M. Bonora, R. Harb, Repsol
  • 0855-0920 234190
    Integrating Capacitance-Resistance Model Connectivity Analysis With Geological Data In A Waterflooded Multizone Field
    D.P. Dadzie, The University of Texas at Austin; J. Jensen, Bureau of Economic Geology; L. Lake, The University of Texas At Austin; P. Flaig, Bureau of Economic Geology; D. Carr, Bureau of Economic Geology, University of Texas at Austin
  • 0920-0945 234016
    Analysis and Modeling of Vertical and Horizontal Compositional Gradients in Two North Sea Reservoirs
    K. Schou Pedersen, Kapexy ApS; H.P. Hjermstad, DewPoint A/S; K. Eide-Engdahl, Aker BP ASA; C. Burmester, Harbour Energy
  • 1015-1040 233923
    Identification Of Reservoir Compartmentalization Using Integrated Production Data Drainage Volume Analysis And Well Region-based Simulation History Matching
    Y. Alghawi, Texas A & M University; I. Mohamed, Texas A&M University; D. Le, Oxy; M. Khodabakhshi, Oxy Oil & Gas USA; M. King, Texas A&M University
  • 1040-1105 233948
    Chasing Remaining Potential in Brownfields Using Fully Integrated Reservoir Characterization: A Messinian Reservoir Case Study
    I. Yahia, M.M. Abdelrahman, A. Abdel-Salam, Consultant; S. Mohammed, Dana Gas Egypt; M. Abd El-Gwad, S. Kamal, Wasco
  • 1105-1130 234138
    Aggregation-Based Upscaling for Geologically Consistent High-Fidelity Reservoir Simulation with Process-Based Models
    A. Iranshahr, F.O. Alpak, N. Howes, Shell International Exploration and Production Inc.; A. Frascati, Shell Global Solutions International B.V.; C. Zhang, Shell Information Technology International Inc.; A. Cantelli, S. Zamanian, Shell International Exploration and Production Inc.; A. Torlucci, Shell Research Limited
  • Alternate 233853
    Field-Scale Demonstration of Model-Free Reservoir Characterization and Rapid Production Forecasting Using Physics-Informed Machine Learning
    T. Sakai, M. Sawata, Y. Alghawi, Y. Tsuge, A. Datta-gupta, Texas A&M University; F.O. Alpak, Shell International Exploration and Production Inc.
  • Alternate 234158
    The Influence of Impermeable Boundaries in Fractal Reservoirs
    A. Valdes Perez, Kappa Engineering / Johns Hopkins University; V. Artus, Kappa North America, Inc.; T. Blasingame, Texas A&M University
  • Alternate 233814
    Enhancing Electromagnetic (EM) Penetration Depth in Reservoir Rocks: Characterizing Acoustic, Thermal, and EM Frequency Effects
    A. Izbassar, M. Kyei, Bob L. Herd department of Petroleum Engineering at Texas Tech University; V.G. Varela, C. Li, Department of Electrical and Computer Engineering at Texas Tech University; J. Liu, Mechanical Engineering Department at Texas Tech University; J. Dean, Litezon LLC; Q. Yuan, Bob L. Herd department of Petroleum Engineering at Texas Tech University