Recent Advances and Challenges of the Application of Artificial Intelligence to Predict Wellbore Instabilities during Drilling Operations
出版年份 2023 全文链接
标题
Recent Advances and Challenges of the Application of Artificial Intelligence to Predict Wellbore Instabilities during Drilling Operations
作者
关键词
-
出版物
SPE DRILLING & COMPLETION
Volume -, Issue -, Pages 1-18
出版商
Society of Petroleum Engineers (SPE)
发表日期
2023-06-14
DOI
10.2118/215830-pa
参考文献
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。- Digital transformation: a review on artificial intelligence techniques in drilling and production applications
- (2022) Albino Lopes D’Almeida et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A novel approach to pore pressure modeling based on conventional well logs using convolutional neural network
- (2022) Morteza Matinkia et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Robust computational approach to determine the safe mud weight window using well-log data from a large gas reservoir
- (2022) Saeed Beheshtian et al. MARINE AND PETROLEUM GEOLOGY
- Data driven models to predict pore pressure using drilling and petrophysical data
- (2022) Farshad Jafarizadeh et al. Energy Reports
- A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques
- (2022) Guodao Zhang et al. Energy Reports
- Artificial Intelligence Capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance
- (2021) Patrick Mikalef et al. INFORMATION & MANAGEMENT
- Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines
- (2021) Ahmed Alsaihati et al. ACS Omega
- Numerical Investigation of the Influence of the Drill String Vibration Cyclic Loads on the Development of the Wellbore Natural Fracture
- (2021) Arnaud Regis Kamgue Lenwoue et al. Energies
- 3D numerical modeling of the effect of the drill string vibration cyclic loads on the wellbore natural fracture growth
- (2021) A.R. Kamgue Lenwoue et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Research on wellbore temperature control and heat extraction methods while drilling in high-temperature wells
- (2021) Dong Xiao et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Early sign detection for the stuck pipe scenarios using unsupervised deep learning
- (2021) Konda Reddy Mopuri et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Lost circulation prediction based on machine learning
- (2021) Huiwen Pang et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- An integrated geomechanics approach to evaluate and manage wellbore stability in a deep graben formation in Tarim Basin
- (2021) Xiaorong Li et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Wellbore stability in high-temperature granite under true triaxial stress
- (2021) Ryota Goto et al. GEOTHERMICS
- A Field Case Study of Managed Pressure Drilling in Offshore Ultra High-Pressure High-Temperature Exploration Well in the South China Sea
- (2020) Qishuai Yin et al. SPE DRILLING & COMPLETION
- A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning
- (2020) Nima Mohamadian et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Application of artificial intelligence to rock mechanics: An overview
- (2020) Abiodun Ismail Lawal et al. Journal of Rock Mechanics and Geotechnical Engineering
- Machine learning in oil and gas; a SWOT analysis approach
- (2019) Yasin Hajizadeh JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Application of decision tree, artificial neural networks, and adaptive neuro-fuzzy inference system on predicting lost circulation: A case study from Marun oil field
- (2019) Mohammad Sabah et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Improving the performance of oil based mud and water based mud in a high temperature hole using nanosilica nanoparticles
- (2019) Allan Katende et al. COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
- Scalable constraint-based virtual data center allocation
- (2019) Sam Bayless et al. ARTIFICIAL INTELLIGENCE
- A porothermoelastic wellbore stability model for riserless drilling through gas hydrate-bearing sediments in the Shenhu area of the South China Sea
- (2019) Wan Cheng et al. Journal of Natural Gas Science and Engineering
- Artificial intelligence techniques and their applications in drilling fluid engineering: A review
- (2018) Okorie E. Agwu et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Error estimation based on variance analysis of k -fold cross-validation
- (2017) Gaoxia Jiang et al. PATTERN RECOGNITION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started