Formation water geochemistry for carbonate reservoirs in Ordos basin, China: Implications for hydrocarbon preservation by machine learning-Reference-Cited by-同舟云学术

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Formation water geochemistry for carbonate reservoirs in Ordos basin, China: Implications for hydrocarbon preservation by machine learning

Published:2020-02 Issue: Volume:185 Page:106673
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Yu Hongyan,Wang Zhenliang,Rezaee Reza,Zhang Yihuai,Nwidee Lezorgia N.,Liu Xi,Verrall Michael,Iglauer Stefan

Funder

National Natural Science Foundation of China

University Association for Science and Technology in Shaanxi, China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference112 articles.

1. Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach;Ahmadi;Fuel,2014

2. Investigating the effect of correlation-based feature selection on the performance of support vector machines in reservoir characterization;Akande;J. Nat. Gas Sci. Eng.,2015

3. A support vector machine algorithm to classify lithofacies and model permeability in heterogeneous reservoirs;Al-Anazi;Eng. Geol.,2010

4. Application of formation water geochemistry to assess seal integrity of the Gotnia Formation, Kuwait;Al-Hajeri;Arab. J. Geosci.,2017

5. Depositional and diagenetic barriers, baffles and conduits: permian–Carboniferous Unayzah reservoir, Nuayyim field, Central Saudi Arabia;Al‐Ramadan;J. Pet. Geol.,2017

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1. Origin and Geochemical Characterization of Groundwater from Coal Seam: A Case Study of Balasu Coalfield, Ordos Basin;ACS Omega;2024-05-16

2. Computerized tomography analysis of potential geochemical reactions of carbonate rocks during underground hydrogen storage;Fuel;2024-04

3. Pore structure analysis of storage rocks during geological hydrogen storage: Investigation of geochemical interactions;Fuel;2024-04

4. Intelligent geochemical interpretation of mass chromatograms: Based on convolution neural network;Petroleum Science;2023-11

5. A comprehensive review of site selection, experiment and numerical simulation for underground hydrogen storage;Gas Science and Engineering;2023-10

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