A systematic review of data science and machine learning applications to the oil and gas industry
出版年份 2021 全文链接
标题
A systematic review of data science and machine learning applications to the oil and gas industry
作者
关键词
-
出版物
Journal of Petroleum Exploration and Production Technology
Volume 11, Issue 12, Pages 4339-4374
出版商
Springer Science and Business Media LLC
发表日期
2021-09-25
DOI
10.1007/s13202-021-01302-2
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A New Approach To Estimating Ultimate Recovery for Multistage Hydraulically Fractured Horizontal Wells by Utilizing Completion Parameters Using Machine Learning
- (2021) Sulaiman A. Alarifi et al. SPE Production & Operations
- Machine Learning-Based Improved Pressure–Volume–Temperature Correlations for Black Oil Reservoirs
- (2021) Zeeshan Tariq et al. JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
- Deep Reinforcement Learning for Generalizable Field Development Optimization
- (2021) Jincong He et al. SPE JOURNAL
- Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models
- (2020) Masoud Seyyedattar et al. FUEL
- New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling
- (2020) Ahmed Gowida et al. Sustainability
- Experimental Investigation of a Novel, Efficient, and Sustainable Hybrid Silicate System in Oil and Gas Well Cementing
- (2020) Mobeen Murtaza et al. ENERGY & FUELS
- Extracting horizon surfaces from 3D seismic data using deep learning
- (2020) Valentin Tschannen et al. GEOPHYSICS
- Machine Learning Methods for Herschel–Bulkley Fluids in Annulus: Pressure Drop Predictions and Algorithm Performance Evaluation
- (2020) Abhishek Kumar et al. Applied Sciences-Basel
- Effects of Nanoclay and Silica Flour on the Mechanical Properties of Class G Cement
- (2020) Zeeshan Tariq et al. ACS Omega
- Scale-Prediction/Inhibition Design Using Machine-Learning Techniques and Probabilistic Approach
- (2020) Nasser M. Al-Hajri et al. SPE Production & Operations
- Data-Driven Acid Fracture Conductivity Correlations Honoring Different Mineralogy and Etching Patterns
- (2020) Mahmoud Desouky et al. ACS Omega
- Development of New Rheological Models for Class G Cement with Nanoclay as an Additive Using Machine Learning Techniques
- (2020) Zeeshan Tariq et al. ACS Omega
- Developing a new rigorous drilling rate prediction model using a machine learning technique
- (2020) Mohammad Mehrad et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network
- (2020) Augustine Osarogiagbon et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Application of predictive data analytics to model daily hydrocarbon production using petrophysical, geomechanical, fiber-optic, completions, and surface data: A case study from the Marcellus Shale, North America
- (2019) Shuvajit Bhattacharya et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
- (2019) Saroj Kumar Pandey et al. NEURAL PROCESSING LETTERS
- Preferential mineral-microfracture association in intact and deformed shales detected by machine learning object detection
- (2019) Xiao Tian et al. Journal of Natural Gas Science and Engineering
- Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete
- (2019) Dong Dao et al. Materials
- Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction
- (2019) Zeeshan Tariq et al. NEURAL COMPUTING & APPLICATIONS
- A modified Herschel–Bulkley model for rheological properties with temperature response characteristics of poly-sulfonated drilling fluid
- (2019) Yuming Huang et al. Energy Sources Part A-Recovery Utilization and Environmental Effects
- Production-Strategy Insights Using Machine Learning: Application for Bakken Shale
- (2019) Guofan Luo et al. SPE RESERVOIR EVALUATION & ENGINEERING
- The use of machine learning in boron-based geopolymers: Function approximation of compressive strength by ANN and GP
- (2019) Ali Bagheri et al. MEASUREMENT
- A Machine-Learning-Based Approach to Assistive Well-Log Correlation
- (2019) Seth Brazell et al. Petrophysics
- A novel MLP-ANN approach to predict solution gas-oil ratio
- (2019) Alireza Cheshmeh Sefidi et al. PETROLEUM SCIENCE AND TECHNOLOGY
- Screening and optimization of polymer flooding projects using artificial-neural-network (ANN) based proxies
- (2019) Qian Sun et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- New Artificial Neural Networks Model for Predicting Rate of Penetration in Deep Shale Formation
- (2019) Ahmed et al. Sustainability
- Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
- (2019) Hongyu Liu et al. Applied Sciences-Basel
- Fault interpretation using a support vector machine: A study based on 3D seismic mapping of the Zhaozhuang coal mine in the Qinshui Basin, China
- (2019) Guangui Zou et al. JOURNAL OF APPLIED GEOPHYSICS
- Machine learning methods applied to drilling rate of penetration prediction and optimization - A review
- (2019) Luís Felipe F.M. Barbosa et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- An intelligent data-driven model for Dean–Stark water saturation prediction in carbonate rocks
- (2019) Zeeshan Tariq et al. NEURAL COMPUTING & APPLICATIONS
- Predictive modeling of dynamic fracture growth in brittle materials with machine learning
- (2018) Bryan A. Moore et al. COMPUTATIONAL MATERIALS SCIENCE
- Using machine learning to predict soil bulk density on the basis of visual parameters: Tools for in-field and post-field evaluation
- (2018) Giulia Bondi et al. GEODERMA
- SEISMIC FAULT DETECTION WITH CONVOLUTIONAL NEURAL NETWORK
- (2018) Wei Xiong et al. GEOPHYSICS
- Frugal innovation: A review and research agenda
- (2018) Mokter Hossain JOURNAL OF CLEANER PRODUCTION
- Artificial intelligence techniques and their applications in drilling fluid engineering: A review
- (2018) Okorie E. Agwu et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Applications of machine learning for facies and fracture prediction using Bayesian Network Theory and Random Forest: Case studies from the Appalachian basin, USA
- (2018) Shuvajit Bhattacharya et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- An integrated approach for estimating static Young’s modulus using artificial intelligence tools
- (2018) Salaheldin Elkatatny et al. NEURAL COMPUTING & APPLICATIONS
- Numerical methods for hydraulic fracture propagation: A review of recent trends
- (2018) Brice Lecampion et al. Journal of Natural Gas Science and Engineering
- Application of fast analytical approach and AI optimization techniques to hydraulic fracture stage placement in shale gas reservoirs
- (2018) Hamid Rahmanifard et al. Journal of Natural Gas Science and Engineering
- Evaluation of coupled machine learning models for drilling optimization
- (2018) Chiranth Hegde et al. Journal of Natural Gas Science and Engineering
- Designing a robust proppant detection and classification workflow using machine learning for subsurface fractured rock samples post hydraulic fracturing operations
- (2018) Debotyam Maity et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning
- (2018) Gowri Srinivasan et al. Scientific Reports
- Prediction of strength parameters of sedimentary rocks using artificial neural networks and regression analysis
- (2018) Yasin Abdi et al. Arabian Journal of Geosciences
- Time series forecasting of petroleum production using deep LSTM recurrent networks
- (2018) Alaa Sagheer et al. NEUROCOMPUTING
- Insights to fracture stimulation design in unconventional reservoirs based on machine learning modeling
- (2018) Shuhua Wang et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Machine learning technique for the prediction of shear wave velocity using petrophysical logs
- (2018) Mohammad Anemangely et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Rock properties evaluation for carbonate reservoir characterization with multi-scale digital rock images
- (2018) Huafeng Sun et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Applicability of an Artificial Neural Network for Predicting Water-Alternating-CO2 Performance
- (2017) et al. Energies
- Data mining and machine learning for identifying sweet spots in shale reservoirs
- (2017) Pejman Tahmasebi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multiazimuth coherence
- (2017) Jie Qi et al. GEOPHYSICS
- Effective Prediction and Management of a CO2 Flooding Process for Enhancing Oil Recovery Using Artificial Neural Networks
- (2017) Si Le Van et al. JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
- Evaluating the critical performances of a CO 2 –Enhanced oil recovery process using artificial neural network models
- (2017) Si Le Van et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- New correlations to predict fracture conductivity based on the rock strength
- (2017) Mohammadreza Akbari et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Development of an ANN-based soft-sensor to estimate the apparent viscosity of water-based drilling fluids
- (2017) Vitor Diego da Silva Bispo et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Ensemble machine learning: An untapped modeling paradigm for petroleum reservoir characterization
- (2017) Fatai Adesina Anifowose et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network
- (2017) Salaheldin Elkatatny et al. NEURAL COMPUTING & APPLICATIONS
- Intelligent Tool To Design Drilling, Spacer, Cement Slurry, and Fracturing Fluids by Use of Machine-Learning Algorithms
- (2017) Arash Shadravan et al. SPE DRILLING & COMPLETION
- Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest
- (2017) S.S. Matin et al. APPLIED SOFT COMPUTING
- Improved estimates of seismic curvature and flexure based on 3D surface rotation in the presence of structure dip
- (2016) Haibin Di et al. GEOPHYSICS
- Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)
- (2016) Salaheldin Elkatatny et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Modeling of Compressive Strength for Self-Consolidating High-Strength Concrete Incorporating Palm Oil Fuel Ash
- (2016) Md. Safiuddin et al. Materials
- Artificial neural networks to support petrographic classification of carbonate-siliciclastic rocks using well logs and textural information
- (2015) Adrielle A. Silva et al. JOURNAL OF APPLIED GEOPHYSICS
- Application of neural network and fuzzy mathematic theory in evaluating the adaptability of inflow control device in horizontal well
- (2015) Chen Feifei et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Empirical relations between strength and static and dynamic elastic properties of Asmari and Sarvak limestones, two main oil reservoirs in Iran
- (2015) Ali Reza Najibi et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Lithology prediction by support vector classifiers using inverted seismic attributes data and petrophysical logs as a new approach and investigation of training data set size effect on its performance in a heterogeneous carbonate reservoir
- (2015) Mohammad Ali Sebtosheikh et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- On accurate determination of PVT properties in crude oil systems: Committee machine intelligent system modeling approach
- (2015) Amin Shokrollahi et al. Journal of the Taiwan Institute of Chemical Engineers
- Prediction of compressive strength of geopolymer composites using an artificial neural network
- (2015) M. M. Yadollahi et al. MATERIALS RESEARCH INNOVATIONS
- Water saturation estimation in tight shaly gas sandstones by application of Progressive Quasi-Static (PQS) algorithm – A case study
- (2015) Morteza Amiri et al. Journal of Natural Gas Science and Engineering
- A comparison of classification techniques for seismic facies recognition
- (2015) Tao Zhao et al. Interpretation-A Journal of Subsurface Characterization
- Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement
- (2014) Haibin Di et al. COMPUTERS & GEOSCIENCES
- Modeling pressure and saturation distribution in a CO2storage project using a Surrogate Reservoir Model (SRM)
- (2014) Alireza Shahkarami et al. Greenhouse Gases-Science and Technology
- Adaptive neuro-fuzzy approach for reservoir oil bubble point pressure estimation
- (2014) Mohammad-Javad Shojaei et al. Journal of Natural Gas Science and Engineering
- Reservoir fluid PVT properties modeling using Adaptive Neuro-Fuzzy Inference Systems
- (2014) Ehsan Ganji-Azad et al. Journal of Natural Gas Science and Engineering
- Applications of neuro fuzzy systems: A brief review and future outline
- (2013) Samarjit Kar et al. APPLIED SOFT COMPUTING
- Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density
- (2013) Hasan A. Nooruddin et al. COMPUTERS & GEOSCIENCES
- Reservoir oil viscosity determination using a rigorous approach
- (2013) Abdolhossein Hemmati-Sarapardeh et al. FUEL
- Methods to compute fault images, extract fault surfaces, and estimate fault throws from 3D seismic images
- (2013) Dave Hale GEOPHYSICS
- Application of neural network technique for prediction of uniaxial compressive strength using reservoir formation properties
- (2013) E. Rabbani et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Artificial Neural Network Modeling of Plastic Viscosity, Yield Point, and Apparent Viscosity for Water-Based Drilling Fluids
- (2013) Meisam Mirarab Razi et al. JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY
- Robust committee machine for water saturation prediction
- (2013) Seyed Ali Jafari Kenari et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Building Bayesian networks from basin-modelling scenarios for improved geological decision making
- (2013) Gabriele Martinelli et al. PETROLEUM GEOSCIENCE
- Prediction of terminal velocity of solid spheres falling through Newtonian and non-Newtonian pseudoplastic power law fluid using artificial neural network
- (2012) R. Rooki et al. INTERNATIONAL JOURNAL OF MINERAL PROCESSING
- Texture attributes for detection of salt
- (2012) Angélique Berthelot et al. JOURNAL OF APPLIED GEOPHYSICS
- Modeling Rheological Properties of Oil Well Cement Slurries Using Artificial Neural Networks
- (2011) Anjuman Shahriar et al. JOURNAL OF MATERIALS IN CIVIL ENGINEERING
- Modeling and Optimizing Rate of Penetration Using Intelligent Systems in an Iranian Southern Oil Field (Ahwaz Oil Field)
- (2011) R. Arabjamaloei et al. PETROLEUM SCIENCE AND TECHNOLOGY
- Using an Artificial Neural Network for Predicting Water Saturation in an Iranian Oil Reservoir
- (2011) K. Kamalyar et al. PETROLEUM SCIENCE AND TECHNOLOGY
- A Water Saturation Prediction Using Artificial Neural Networks and an Investigation on Cementation Factors and Saturation Exponent Variations in an Iranian Oil Well
- (2011) M. Mardi et al. PETROLEUM SCIENCE AND TECHNOLOGY
- Predicting effective viscosity of magnetite ore slurries by using artificial neural network
- (2011) Manik P. Deosarkar et al. POWDER TECHNOLOGY
- Intelligent Production Modeling Using Full Field Pattern Recognition
- (2011) Yasaman Khazaeni et al. SPE RESERVOIR EVALUATION & ENGINEERING
- Analysis of Data From the Barnett Shale Using Conventional Statistical and Virtual Intelligence Techniques
- (2011) Obadare Awoleke et al. SPE RESERVOIR EVALUATION & ENGINEERING
- Reservoir simulation and modeling based on artificial intelligence and data mining (AI&DM)
- (2011) Shahab Dean Mohaghegh Journal of Natural Gas Science and Engineering
- Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization
- (2011) Fatai Anifowose et al. Journal of Natural Gas Science and Engineering
- Iris recognition using artificial neural networks
- (2010) Fadi N. Sibai et al. EXPERT SYSTEMS WITH APPLICATIONS
- A 3D Analytical Model for Wellbore Friction
- (2010) Bernt S. Aadnoy et al. JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY
- Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques
- (2010) Jui-Sheng Chou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Empirical relationship between strength and geophysical properties for weakly cemented formations
- (2010) M.S. Ravi Sharma et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Artificial neural networks workflow and its application in the petroleum industry
- (2010) N. I. Al-Bulushi et al. NEURAL COMPUTING & APPLICATIONS
- On the Capability of Support Vector Machines to Classify Lithology from Well Logs
- (2010) A. Al-Anazi et al. Natural Resources Research
- Predicting rock mechanical properties of carbonates from wireline logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia)
- (2009) Mohammed S. Ameen et al. MARINE AND PETROLEUM GEOLOGY
- Using artificial neural networks to generate synthetic well logs
- (2009) Luisa Rolon et al. Journal of Natural Gas Science and Engineering
- Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme
- (2008) Emad A. El-Sebakhy JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Finite element model updating of a small steel frame using neural networks
- (2008) J L Zapico et al. Smart Materials and Structures
- Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks
- (2008) Gregor Trtnik et al. ULTRASONICS
- Bottomhole assembly analysis by finite difference differential method
- (2007) Dongquan Yang et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
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