Investigating the capability of data-driven proxy models as solution for reservoir geological uncertainty quantification

Author:

Amiri Kolajoobi Rasool,Haddadpour Hosein,Emami Niri MohammadORCID

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference25 articles.

1. Developing a robust proxy model of CO2 injection: coupling Box–Behnken design and a connectionist method;Ahmadi;Fuel,2018

2. A data-driven smart proxy model for a comprehensive reservoir simulation;Alenezi,2016

3. Developing a Grid-Based Surrogate Reservoir Model Using Artificial Intelligence;Amini,2015

4. Application of machine learning and artificial intelligence in proxy modeling for fluid flow in porous media;Amini;Fluid,2019

5. Ranking of geostatistical models and uncertainty quantification using Signal Detection Principle (SDP);Ani;J. Petrol. Sci. Eng.,2019

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