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Intelligent Drilling and Completion: A Review Review
Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,
Engineering 2022, Volume 18, Issue 11, Pages 33-48 doi: 10.1016/j.eng.2022.07.014
Keywords: Intelligent drilling and completion Artificial intelligence Intelligent application scenarios Literature
Guancheng Jiang,Jinsheng Sun,Yinbo He,Kaixiao Cui,Tengfei Dong,Lili Yang,Xukun Yang,Xingxing Wang
Engineering 2022, Volume 18, Issue 11, Pages 129-142 doi: 10.1016/j.eng.2021.11.014
Keywords: Formation protection Wellbore quality Unconventional oil and gas Drilling and completion fluid Bionics
A Review on Shale Gas Development in Fuling
Zhi-gang Wang
Frontiers of Engineering Management 2015, Volume 2, Issue 1, Pages 76-81 doi: 10.15302/J-FEM-2015011
Keywords: Fuling shale gas drilling and completion staged fracturing learning curve capacity building commercial
Oilfield Chemical Additives in Drilling: Current Applications & Development Trend
Liu Rushan,Su Changming
Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 88-92
This paper summarizes the current research and applications of oil field chemical additives in drillingfluids, completion fluids, and reservoir protection, and holds the view that the research and applicationsof the positive ion drilling and completion fluid system should be the development orientation in the
Keywords: oil field additives drilling & completion fluid reservoir protectiori multifunctional polymers
Intelligent Petroleum Engineering Perspective
Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen
Engineering 2022, Volume 18, Issue 11, Pages 27-32 doi: 10.1016/j.eng.2022.06.009
Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.
Keywords: Artificial intelligence Machine learning Intelligent reservoir engineering Text mining Intelligentgeoscience Intelligent drilling engineering
Shen Chen
Strategic Study of CAE 2010, Volume 12, Issue 10, Pages 29-34
Keywords: Northeast Sichuan ultra-deep well high sulfur exploration and development drilling completion
Jiang Wei
Strategic Study of CAE 2011, Volume 13, Issue 5, Pages 58-65
This paper summarizes the key technologies and characteristics of offshore oil field development in China by continuous exploration and practice in the offshore oil field exploration, development and production of CNOOC. At the same time, according to the current development of foreign development technology, combined with CNOOC's own characteristics, according to the specific needs of offshore oil field development.
Keywords: offshore oil offshore oil and gas development technical challenges
Investigation on drilling-grinding of CFRP
Yanming QUAN, Wenwang ZHONG
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 60-63 doi: 10.1007/s11465-009-0008-y
Keywords: composites drilling-grinding cemented/plated diamond tool life machined quality
Key uncertainty events impacting on the completion time of highway construction projects
Alireza MOGHAYEDI, Abimbola WINDAPO
Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 275-298 doi: 10.1007/s42524-019-0022-7
Keywords: ANFIS construction time impact assessment highway project South Africa uncertainty
Calculation and research on deepwater drilling riser flexural equation and natural frequency
Jiang Wei
Strategic Study of CAE 2011, Volume 13, Issue 5, Pages 66-73
Keywords: deepwater drilling drilling riser flexural equation natural frequency shape function
The optimum drilling technique in the northeast area of Sichuan
Han Laiju,Ma Guangjun,Zhao Jinhai
Strategic Study of CAE 2010, Volume 12, Issue 10, Pages 44-49
Keywords: northeast area of Sichuan optimum drilling gas drilling vertical drilling MPD with lower-densitydrilling fluid bit optimization compound drilling
Development Path of Offshore Drilling Equipment in China
Liu Jian
Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 40-48 doi: 10.15302/J-SSCAE-2020.06.006
China has made achievements in offshore drilling equipment, and it cannow develop the shallow-water drilling rigs independently.To accelerate the development of China’s offshore drilling equipment, this study first analyzesmachine, deep-water drilling machine, and new-type marine drilling machine; it then summarizes the development; develop this sector in an innovation-driven mode; and promote diversified, serial, automated, and intelligent
Keywords: offshore drilling rig deep-water drilling rig development of equipment test sea test
Effects of delamination in drilling glass/polyester composite
Mehdi GANJIANI, Majid SAFARABADI, Nabi MEHRI-KHANSARI, Hossein ORUJI
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 552-567 doi: 10.1007/s11709-021-0699-7
Keywords: delamination VCCT ARCAN specimen drilling mode II
Guofeng MA, Renke KANG, Zhigang DONG, Sen YIN, Yan BAO, Dongming GUO
Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4, Pages 538-546 doi: 10.1007/s11465-020-0598-y
Keywords: longitudinal–torsional coupled ultrasonically drilling CFRP thrust force hole quality
Permeability testing of drilling core sample from pavement
WANG Suda, TANG Zhengguang, NING Xiaojun, WU Peiguan, XING Pingyi
Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4, Pages 391-394 doi: 10.1007/s11709-008-0045-3
Keywords: province material feasible permeability coefficient equipment
Title Author Date Type Operation
Intelligent Drilling and Completion: A Review
Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,
Journal Article
Novel Water-Based Drilling and Completion Fluid Technology to Improve Wellbore Quality During Drilling
Guancheng Jiang,Jinsheng Sun,Yinbo He,Kaixiao Cui,Tengfei Dong,Lili Yang,Xukun Yang,Xingxing Wang
Journal Article
Oilfield Chemical Additives in Drilling: Current Applications & Development Trend
Liu Rushan,Su Changming
Journal Article
Intelligent Petroleum Engineering
Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen
Journal Article
The exploration and development engineering technology for ultra deep and high acid gas field in Northeast Sichuan
Shen Chen
Journal Article
Current situation and prospect of drilling and completion technology of CNOOC in offshore oilfield development
Jiang Wei
Journal Article
Key uncertainty events impacting on the completion time of highway construction projects
Alireza MOGHAYEDI, Abimbola WINDAPO
Journal Article
Calculation and research on deepwater drilling riser flexural equation and natural frequency
Jiang Wei
Journal Article
The optimum drilling technique in the northeast area of Sichuan
Han Laiju,Ma Guangjun,Zhao Jinhai
Journal Article
Effects of delamination in drilling glass/polyester composite
Mehdi GANJIANI, Majid SAFARABADI, Nabi MEHRI-KHANSARI, Hossein ORUJI
Journal Article
Hole quality in longitudinal–torsional coupled ultrasonic vibration assisted drilling of carbon fiber
Guofeng MA, Renke KANG, Zhigang DONG, Sen YIN, Yan BAO, Dongming GUO
Journal Article