Identification and illustration of relationships between produced gas and water in marcellus under different spatial and temporal domains through data-driven analytics - Nonparametric model-Reference-Cited by-同舟云学术

Identification and illustration of relationships between produced gas and water in marcellus under different spatial and temporal domains through data-driven analytics - Nonparametric model

Published:2020-01 Issue: Volume:184 Page:106434
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Zhou Qiumei,Wang John Yilin,Xiao Yitian

Funder

State Key Lab of Oil and Gas Reservoir Geology and Exploitation

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference37 articles.

1. Through-drying of porous media;Allerton;Chem. Eng. Process,1949

2. Imbibition and water blockage in unconventional reservoirs: well-management implications during flowback and early production;Bertoncello;SPE Reserv. Eval. Eng.,2014

3. Eagle ford shale: a multi-stage hydraulic fracturing, completion trends and production outcome study using practical data mining techniques;Centurion,2011

4. The Effects and Distribution of Moisture in Gas Shale Reservoir Systems. Poster Presentation at AAPG Annual Convention and Exhibition, Louisiana, New Orleans, USA;Chalmers,2010

5. An enhanced method to correct rate data for variations in bottom-hole pressure;Chaudhary,2016

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