Petroleum Science and Technology
Latest Publications

TOTAL DOCUMENTS

4529

(FIVE YEARS 545)

H-INDEX

(FIVE YEARS 7)

Published By Informa Uk (Taylor & Francis)

1532-2459, 1091-6466

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Efficient passive sampler using copper oxide micro-adsorbent for the detection of volatile sulfur compounds (VSCs) from the small lab-scale spilled crude oil

Petroleum Science and Technology ◽

10.1080/10916466.2022.2025831 ◽

2022 ◽

pp. 1-11

Author(s):

Hozan Jalal Saleem ◽

Yousif Mustafa Salih ◽

Luqman Omar Hamasalih ◽

Khalid M. Omer

Keyword(s):

Copper Oxide ◽

Crude Oil ◽

Sulfur Compounds ◽

Passive Sampler ◽

Volatile Sulfur Compounds ◽

Volatile Sulfur

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Judgment of horizontal well liquid loading in fractured low-permeability gas reservoirs

Petroleum Science and Technology ◽

10.1080/10916466.2021.2024569 ◽

2022 ◽

pp. 1-22

Author(s):

Hongtao Zhang ◽

Tianyue Guo ◽

Yongping Zhang ◽

Fengshan Wang ◽

Cheng Fu ◽

...

Keyword(s):

Horizontal Well ◽

Low Permeability ◽

Gas Reservoirs ◽

Liquid Loading

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Neural network protocol to predict interfacial tension for CO2/CH4/Water-Brine ternary systems under reservoir temperature and pressure ranges

Petroleum Science and Technology ◽

10.1080/10916466.2021.1991375 ◽

2022 ◽

pp. 1-20

Author(s):

Andréa da Silva Pereira ◽

Arthur Reys Carvalho de Oliveira ◽

Pedro F. G. Silvino ◽

Moises Bastos-Neto ◽

Sebastião M. P. Lucena

Keyword(s):

Neural Network ◽

Interfacial Tension ◽

Ternary Systems ◽

Network Protocol ◽

Reservoir Temperature ◽

Temperature And Pressure

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Microbial community diversity and potential bioremediation of drill cuttings in two oil reservoirs

Petroleum Science and Technology ◽

10.1080/10916466.2021.2024228 ◽

2022 ◽

pp. 1-17

Author(s):

Shuyuan Deng ◽

Bo Wang ◽

Sanbao Su ◽

Hao Zeng ◽

Rui Chen ◽

...

Keyword(s):

Microbial Community ◽

Oil Reservoirs ◽

Community Diversity ◽

Drill Cuttings ◽

Microbial Community Diversity

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Fault and fracture study by incorporating borehole image logs and supervised neural network applied to the 3D seismic attributes: a case study of pre-salt carbonate reservoir, Santos Basin, Brazil

Petroleum Science and Technology ◽

10.1080/10916466.2021.2025072 ◽

2022 ◽

pp. 1-20

Author(s):

Amir Abbas Babasafari ◽

Guilherme Furlan Chinelatto ◽

Alexandre Campane Vidal

Keyword(s):

Neural Network ◽

Seismic Attributes ◽

Carbonate Reservoir ◽

3D Seismic ◽

Fracture Study ◽

Borehole Image ◽

Borehole Image Logs

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Application of BWRS equation of state for calculation of fluid density and viscosity

Petroleum Science and Technology ◽

10.1080/10916466.2021.2024227 ◽

2022 ◽

pp. 1-14

Author(s):

Yahui Li ◽

Yihan Feng ◽

Wei Wang ◽

Jibin Zhong ◽

Dandan Zhang

Keyword(s):

Equation Of State ◽

Fluid Density

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Hybrid analysis for excessive water production problem

Petroleum Science and Technology ◽

10.1080/10916466.2021.2023178 ◽

2022 ◽

pp. 1-16

Author(s):

Gaurav Hazarika ◽

Minati Das ◽

Sivakumar Pandian

Keyword(s):

Water Production ◽

Hybrid Analysis ◽

Production Problem ◽

Excessive Water

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A semi-analytical model based on unsteady conductive heat transfer in steam-assisted gravity drainage (SAGD)

Petroleum Science and Technology ◽

10.1080/10916466.2021.2022694 ◽

2022 ◽

pp. 1-17

Author(s):

Wei Xia ◽

Jiejie Liu ◽

Suan Ge ◽

Yongguang Ge ◽

Kang Wang ◽

...

Keyword(s):

Heat Transfer ◽

Analytical Model ◽

Conductive Heat Transfer ◽

Gravity Drainage ◽

Conductive Heat ◽

Steam Assisted Gravity Drainage ◽

Model Based

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Determination of asphalt aging degree: a novel method to determine asphaltene content by centrifugal separation and air stripping technologies

Petroleum Science and Technology ◽

10.1080/10916466.2021.2017456 ◽

2022 ◽

pp. 1-7

Author(s):

Lingfeng Xiao ◽

Ruofei Du ◽

Lishuhong Gong ◽

Haidong Wang ◽

Kang Wang

Keyword(s):

Centrifugal Separation ◽

Air Stripping ◽

Asphaltene Content ◽

Novel Method

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Predictive modeling of drilling rate index using machine learning approaches: LSTM, simple RNN, and RFA

Petroleum Science and Technology ◽

10.1080/10916466.2021.2003386 ◽

2022 ◽

pp. 1-22

Author(s):

Niaz Muhammad Shahani ◽

Muhammad Kamran ◽

Xigui Zheng ◽

Cancan Liu

Keyword(s):

Machine Learning ◽

Predictive Modeling ◽

Learning Approaches ◽

Drilling Rate ◽

Drilling Rate Index

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Petroleum Science and TechnologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Informa Uk (Taylor & Francis)

Efficient passive sampler using copper oxide micro-adsorbent for the detection of volatile sulfur compounds (VSCs) from the small lab-scale spilled crude oil

Judgment of horizontal well liquid loading in fractured low-permeability gas reservoirs

Neural network protocol to predict interfacial tension for CO2/CH4/Water-Brine ternary systems under reservoir temperature and pressure ranges

Microbial community diversity and potential bioremediation of drill cuttings in two oil reservoirs

Fault and fracture study by incorporating borehole image logs and supervised neural network applied to the 3D seismic attributes: a case study of pre-salt carbonate reservoir, Santos Basin, Brazil

Application of BWRS equation of state for calculation of fluid density and viscosity

Hybrid analysis for excessive water production problem

A semi-analytical model based on unsteady conductive heat transfer in steam-assisted gravity drainage (SAGD)

Determination of asphalt aging degree: a novel method to determine asphaltene content by centrifugal separation and air stripping technologies

Predictive modeling of drilling rate index using machine learning approaches: LSTM, simple RNN, and RFA

Petroleum Science and Technology
Latest Publications