Multivariate approach to the gas production forecast using early production data for Barnett shale reservoir-Reference-Cited by-同舟云学术

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Multivariate approach to the gas production forecast using early production data for Barnett shale reservoir

Published:2021-03 Issue: Volume:87 Page:103776
ISSN:1875-5100
Container-title:Journal of Natural Gas Science and Engineering
language:en
Short-container-title:Journal of Natural Gas Science and Engineering

Author:

Nguyen-Le Viet^ORCID,Kim Min,Shin Hyundon,Little Edward

Funder

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference39 articles.

1. Analysis of decline curves;Arps;Trans. AIME,1945

2. Shale gas production decline trend comparison over time and basins-revisited;Baihly,2015

3. Feasibility of predicting long-term shale gas production and EURs based on early-time data;Balan,2017

4. Decline curve analysis on the woodford shale and other major shale plays;Bashir,2016

5. A conceptual shale gas field development plan for the lower Jurassic Posidonia shale in The Netherlands;Brouwer,2014

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1. Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China;Applied Energy;2024-03

2. A review of the application of data-driven technology in shale gas production evaluation;Energy Reports;2023-11

3. Optimization of CO2 injection and brine production well placement using a genetic algorithm and artificial neural network-based proxy model;International Journal of Greenhouse Gas Control;2023-07

4. Hybrid Machine Learning-Mathematical Programming Approach for Optimizing Gas Production and Water Management in Shale Gas Fields;ACS Sustainable Chemistry & Engineering;2023-04-06

5. Development and Evaluation of Deep Learning Models for Forecasting Gas Production and Flowback Water in Shale Gas Reservoirs;Industrial & Engineering Chemistry Research;2023-03-29

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