相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Uncertainty estimation in deep learning-based property models: Graph neural networks applied to the critical properties
Adem R. N. Aouichaoui et al.
AICHE JOURNAL (2022)
A physics-constrained deep learning model for simulating multiphase flow in 3D heterogeneous porous media
Bicheng Yan et al.
FUEL (2022)
Salinity of flowback fracturing fluid in shale reservoir and its reservoir damage: Experimental and field study
Jiaxin Shao et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
Multiscale and multiphase fractal model considering water reflux in shale gas extraction
Yuhao Hu et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2022)
Ten years of gas shale fracturing in China: Review and prospect
Jinzhou Zhao et al.
NATURAL GAS INDUSTRY B (2022)
Development of shale gas production prediction models based on machine learning using early data
Wente Niu et al.
ENERGY REPORTS (2022)
Effects of fracturing fluid migration with clay damage after different shut-in period on shale gas production performance
Hong Zhou et al.
ENERGY REPORTS (2022)
Investigation of the Factors Influencing the Flowback Ratio in Shale Gas Reservoirs: A Study Based on Experimental Observations and Numerical Simulations
Lin Hun et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2021)
Shale gas well flowback rate prediction for Weiyuan field based on a deep learning algorithm
Liu Yuyang et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)
Deep shale gas in China: Geological characteristics and development strategies
Xinhua Ma et al.
ENERGY REPORTS (2021)
Flowback fracture closure of multi-fractured horizontal wells in shale gas reservoirs
Fengyuan Zhang et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)
Prediction of flowback ratio and production in Sichuan shale gas reservoirs and their relationships with stimulated reservoir volume
Botao Lin et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)
Identification and illustration of relationships between produced gas and water in marcellus under different spatial and temporal domains through data-driven analytics - Nonparametric model
Qiumei Zhou et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)
Two-Phase Transport Characteristic of Shale Gas and Water through Hydrophilic and Hydrophobic Nanopores
HengYu Xu et al.
ENERGY & FUELS (2020)
Effects of mineral composition on the fracture propagation of tight sandstones in the Zizhou area, east Ordos Basin, China
Mi Li et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2020)
Hydraulic fracturing design considerations, water management challenges and insights for Middle Eastern shale gas reservoirs
Abhijith Suboyin et al.
ENERGY REPORTS (2020)
A numerical investigation on the effects of rock brittleness on the hydraulic fractures in the shale reservoir
Zhichao Li et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2018)
Quantity of flowback and produced waters from unconventional oil and gas exploration
Andrew J. Kondash et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
The fate of fracturing water: A field and simulation study
Ebrahim Ghanbari et al.
FUEL (2016)
A modified approach for modeling two-phase flowback from multi-fractured horizontal shale gas wells
J. D. Williams-Kovacs et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)
A model describing flowback chemistry changes with time after Marcellus Shale hydraulic fracturing
Victor N. Balashov et al.
AAPG BULLETIN (2015)
A complementary approach for uncertainty reduction in post-flowback production data analysis
Obinna Daniel Ezulike et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2015)
Spatial and Temporal Correlation of Water Quality Parameters of Produced Waters from Devonian-Age Shale following Hydraulic Fracturing
Elise Barbot et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2013)
Modeling of frac flowback and produced water volume from Wattenberg oil and gas field
Bing Bai et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2013)
Modeling Two-Phase Flowback of Multifractured Horizontal Wells Completed in Shale
C. R. Clarkson et al.
SPE JOURNAL (2013)