Developing grid-based smart proxy model to evaluate various water flooding injection scenarios-Reference-Cited by-同舟云学术

Developing grid-based smart proxy model to evaluate various water flooding injection scenarios

Published:2020-07-27 Issue:17 Volume:38 Page:870-881
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Haghshenas Yousof¹,Emami Niri Mohammad¹,Amini Shahram²,Amiri Kolajoobi Rasool¹

Affiliation:

1. Institute of Petroleum Engineering, Department of Chemical Engineering, College of Engineering, University of Tehran, Tehran, Iran

2. Independent Consultant, Tehran, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2020.1796703

Reference12 articles.

1. Optimization of Waterflooding Strategy Using Artificial Neural Networks

2. Proxy Model Based on Artificial Intelligence Technique for History Matching - Application to Brugge Field

3. Forecasting Smart Well Production via Deep Learning and Data Driven Optimization

4. Full field reservoir modeling of shale assets using advanced data-driven analytics

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