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17 Concepts, Data and Algorithms - Exploring Integrated Approaches in Reservoir Characterization

Tuesday, 17 October
Room 217 D
Technical Session
From Data-driven to deep learning, concepts, data and algorithms, this session which explore approaches in reservoir characterization.
Session Chairperson(s)
Sandeep Mukherjee - Callon Petroleum Co.
Subho Mandal - Core Laboratories
  • 0830-0855 215019
    Seismic Reflectivity Inversion Using A Semi-supervised Learning Approach
    A. Abd Rahman, PETRONAS; A.M. El Sheikh, Heriot-Watt University; M. Jaya, PETRONAS
  • 0855-0920 215133
    Causal Inference for the Characterization of Microseismic Events Induced by Hydraulic Fracturing
    O. Rojas Conde, S. Misra, R. Liu, Texas A&M University
  • 0920-0945 215072
    Deep-learning-based Approach For Optimizing Infill Well Placement
    P. Zhang, T. Gao, B. Fu, R. Li, Variables Intelligence Corporation
  • 1015-1040 214792
    Modeling Heterogeneity Of Glacial Reservoir Using Geostatistical Approach: A Case Study, Southwest Libya.
    F.A. Bergigh, Akakus Oil Operations Libya; W.S. Meddaugh, Midwestern State University; T.M. Alkhemri, Akakus Oil Operations Libya
  • 1040-1105 214789
    Rock Physics Modeling Of Hydrogen-bearing Sandstone: Implications For Natural Hydrogen Exploration And Storage
    M. Ahmad Fuad, H. Zhao, M. Jaya, E. Jones Jr, PETRONAS RESEARCH SDN BHD