Data-Driven Reservoir Modeling Data-Driven Reservoir Modeling

Data-Driven Reservoir Modeling

    • $189.99
    • $189.99

Publisher Description

Data-Driven Reservoir Modeling is intended to introduce a methodology that is relatively new to upstream petroleum engineers and geoscientists. This new approach is particularly suited to the application of data analytics to physical problems of reservoir engineering for tracking the state of dynamics.  With the help of this new pragmatic approach, data-driven modeling can effectively be used in field planning and development studies.

  • GENRE
    Professional & Technical
    RELEASED
    2017
    June 19
    LANGUAGE
    EN
    English
    LENGTH
    166
    Pages
    PUBLISHER
    Soviety of Petroleum Engineers
    SELLER
    Society of Petroleum Engineers
    SIZE
    22.3
    MB
    Machine Learning in the Oil and Gas Industry Machine Learning in the Oil and Gas Industry
    2020
    Harness Oil and Gas Big Data with Analytics Harness Oil and Gas Big Data with Analytics
    2014
    Artificial Intelligence and Data Analytics for Energy Exploration and Production Artificial Intelligence and Data Analytics for Energy Exploration and Production
    2022
    Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models
    2017
    Supervised Learning with Python Supervised Learning with Python
    2020
    ECML PKDD 2018 Workshops ECML PKDD 2018 Workshops
    2019
    Artificial Intelligence for Science and Engineering Applications Artificial Intelligence for Science and Engineering Applications
    2024
    Smart Proxy Modeling Smart Proxy Modeling
    2022
    Shale Analytics Shale Analytics
    2017