Most cited papers in Oil and Gas Production Techniques
What are the most cited papers in Oil and Gas Production Techniques?
The most cited paper in Oil and Gas Production Techniques is "Mechanics Of Hydraulic Fracturing" (M. King Hubbert, David G. Willis, 1957), with 2,132 citations. Next come "A Rapid Method of Predicting Width and Extent of Hydraulically Induced Fractures" (1,292) and "A Survey of Deep Active Learning" (1,096).
Showing 50 of 100 papers. Every paper with more than 231 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Mechanics Of Hydraulic Fracturing M. King Hubbert, David G. Willis · Transactions of the AIME | Dec 1957 | 2,132 |
| 2 | A Rapid Method of Predicting Width and Extent of Hydraulically Induced Fractures J. Geertsma, F. De Klerk · Journal of Petroleum Technology | Dec 1969 | 1,292 |
| 3 | A Survey of Deep Active Learning Pengzhen Ren, Yun Xiao, Xiaojun Chang et al. · ACM Computing Surveys | 8 Oct 2021 | 1,096 |
| 4 | Condition monitoring and fault detection of wind turbines and related algorithms: A review Zafar Hameed, Youngsun Hong, Young-in Cho et al. · Renewable and Sustainable Energy Reviews | 21 Aug 2007 | 999 |
| 5 | Time series forecasting of petroleum production using deep LSTM recurrent networks Alaa Sagheer, Mostafa Kotb · Neurocomputing | 5 Oct 2018 | 971 |
| 6 | INFO: An efficient optimization algorithm based on weighted mean of vectors Iman Ahmadianfar, Ali Asghar Heidari, Saeed Noshadian et al. · Expert Systems with Applications | 15 Jan 2022 | 822 |
| 7 | A review of fracturing fluid systems used for hydraulic fracturing of oil and gas wells Reza Barati, Jenn‐Tai Liang · Journal of Applied Polymer Science | 7 Apr 2014 | 792 |
| 8 | A review of the application of deep learning in intelligent fault diagnosis of rotating machinery Zhiqin Zhu, Yangbo Lei, Guanqiu Qi et al. · Measurement | 12 Dec 2022 | 722 |
| 9 | Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study Zhibin Zhao, Tianfu Li, Jingyao Wu et al. · ISA Transactions | 19 Aug 2020 | 687 |
| 10 | Unsteady-State Pressure Distributions Created by a Well With a Single Infinite-Conductivity Vertical Fracture Alain C. Gringarten, H.J. Ramey, Rajagopal S. Raghavan · Society of Petroleum Engineers Journal | Aug 1974 | 686 |
| 11 | Transportation of heavy and extra-heavy crude oil by pipeline: A review Rafael Martínez‐Palou, M.L. Mosqueira, Beatriz Zapata-Rendón et al. · Journal of Petroleum Science and Engineering | 27 Nov 2010 | 678 |
| 12 | An Investigation of Ejector Design by Analysis and Experiment Joseph H. Keenan, E. P. Neumann, F. Lustwerk · Journal of Applied Mechanics | Sep 1950 | 651 |
| 13 | A Review of Stator Fault Monitoring Techniques of Induction Motors Aftab Siddique, G.S. Yadava, Bhim Singh · IEEE Transactions on Energy Conversion | 22 Feb 2005 | 594 |
| 14 | Experimental Study of Pressure Gradients Occurring During Continuous Two-Phase Flow in Small-Diameter Vertical Conduits Alton R. Hagedorn, Kermit E. Brown · Journal of Petroleum Technology | Apr 1965 | 593 |
| 15 | Application of machine learning and artificial intelligence in oil and gas industry ANIRBID SIRCAR, Kriti Yadav, Kamakshi Rayavarapu et al. · Petroleum Research | 4 Jun 2021 | 548 |
| 16 | Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model Xuanyi Song, Yuetian Liu, Liang Xue et al. · Journal of Petroleum Science and Engineering | 12 Nov 2019 | 539 |
| 17 | Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study Zhibin Zhao, Qiyang Zhang, Xiaolei Yu et al. · IEEE Transactions on Instrumentation and Measurement | 2021 | 528 |
| 18 | Membrane Separation Bioreactors for Wastewater Treatment C. Visvanathan, R. Ben Aïm, K. Parameshwaran · Critical Reviews in Environmental Science and Technology | 2000 | 498 |
| 19 | Correlations for Fluid Physical Property Prediction Michael B. Vasquez, H. D. Beggs · Journal of Petroleum Technology | Jun 1980 | 490 |
| 20 | Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models Daniel Asante Otchere, Tarek Omar Arbi Ganat, Raoof Gholami et al. · Journal of Petroleum Science and Engineering | 3 Dec 2020 | 489 |
| 21 | Active Learning for Convolutional Neural Networks: A Core-Set Approach Ozan Şener, Silvio Savarese · International Conference on Learning Representations | 15 Feb 2018 | 479 |
| 22 | A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems Baoping Cai, Yubin Zhao, Hanlin Liu et al. · IEEE Transactions on Power Electronics | 13 Sep 2016 | 475 |
| 23 | Predicting Two-Phase Pressure Drops in Vertical Pipe J. Orkiszewski · Journal of Petroleum Technology | Jun 1967 | 454 |
| 24 | Using SCADA data for wind turbine condition monitoring – a review J Tautz-Weinert, Simon Watson · IET Renewable Power Generation | 19 Sep 2016 | 453 |
| 25 | AI techniques in induction machines diagnosis including the speed ripple effect Fiorenzo Filippetti, G. Franceschini, Carla Tassoni et al. · IEEE Transactions on Industry Applications | 1998 | 443 |
| 26 | Water hammer with column separation: A historical review Anton Bergant, Angus Ross Simpson, Arris Sieno Tijsseling · Journal of Fluids and Structures | 14 Oct 2005 | 441 |
| 27 | Torque and Drag in Directional Wells-Prediction and Measurement C.A. Johancsik, D.B. Friesen, Rapier Dawson · Journal of Petroleum Technology | Jun 1984 | 440 |
| 28 | Forecasting monthly gas field production based on the CNN-LSTM model Wenshu Zha, Yuping Liu, Yujin Wan et al. · Energy | 8 Aug 2022 | 436 |
| 29 | Production Analysis of Linear Flow Into Fractured Tight Gas Wells Robert A. Wattenbarger, Ahmed H. El-Banbi, Mauricio Eduardo Villegas et al. | 5 Apr 1998 | 435 |
| 30 | Deep Bayesian Active Learning with Image Data Ghahramani, Z, Gal, Y, Islam, R · Apollo (University of Cambridge) | 2017 | 431 |
| 31 | A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network Yalin Wang, Zhuofu Pan, Xiaofeng Yuan et al. · ISA Transactions | 8 Jul 2019 | 407 |
| 32 | An Investigation of Wellbore Storage and Skin Effect in Unsteady Liquid Flow: I. Analytical Treatment Ram G. Agarwal, Rafi Al-Hussainy, H.J. Ramey · Society of Petroleum Engineers Journal | Sep 1970 | 402 |
| 33 | Real-time hybrid experimental system with actuator delay compensation and its application to a piping system with energy absorber Tatsuo Horiuchi, Masahiko Inoue, Takao KONNO et al. · Earthquake Engineering & Structural Dynamics | Oct 1999 | 402 |
| 34 | Factors Affecting Water Blocking and Gas Flow From Hydraulically Fractured Gas Wells Stephen A. Holditch · Journal of Petroleum Technology | Dec 1979 | 396 |
| 35 | Bosch ESP Systems: 5 Years of Experience Anton Th. van Zanten · SAE technical papers on CD-ROM/SAE technical paper series | 15 May 2000 | 396 |
| 36 | Novelty detection and neural network validation Chris M. Bishop · IEE Proceedings - Vision Image and Signal Processing | 1994 | 393 |
| 37 | A neural network methodology for process fault diagnosis Venkat Venkatasubramanian, King Yee Chan · AIChE Journal | Dec 1989 | 393 |
| 38 | Identification and evaluation of well integrity and causes of failure of well integrity barriers (A review) Raj Kiran, Cătălin Teodoriu, Younas Dadmohammadi et al. · Journal of Natural Gas Science and Engineering | 8 Jun 2017 | 392 |
| 39 | A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system V.K. Arun Shankar, Umashankar Subramaniam, S. Paramasivam et al. · Applied Energy | 25 Aug 2016 | 392 |
| 40 | An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks Van Tung Tran, Faisal Althobiani, Andrew D. Ball · Expert Systems with Applications | 3 Jan 2014 | 389 |
| 41 | Remaining useful life prediction using multi-scale deep convolutional neural network Li Han, Wei Zhao, Yuxi Zhang et al. · Applied Soft Computing | 23 Jan 2020 | 386 |
| 42 | A review on different pipeline fault detection methods Shantanu Datta, Shibayan Sarkar · Journal of Loss Prevention in the Process Industries | 15 Mar 2016 | 386 |
| 43 | Well production forecasting based on ARIMA-LSTM model considering manual operations Dongyan Fan, Hai Xia Sun, Jun Ping Yao et al. · Energy | 24 Dec 2020 | 382 |
| 44 | Fault diagnosis of hydro-turbine via the incorporation of bayesian algorithm optimized CNN-LSTM neural network Fang Dao, Yun Zeng, Jing Qian · Energy | 10 Jan 2024 | 367 |
| 45 | Underwater manipulators: A review Satja Sivčev, Joseph Coleman, Edin Omerdić et al. · Ocean Engineering | 15 Jun 2018 | 361 |
| 46 | A comprehensive review on proppant technologies Feng Liang, Mohammed A. Sayed, Ghaithan A. Al‐Muntasheri et al. · Petroleum | 14 Nov 2015 | 360 |
| 47 | Adaptive variational mode decomposition method for signal processing based on mode characteristic Jijian Lian, Zhuo Liu, Haijun Wang et al. · Mechanical Systems and Signal Processing | 2 Feb 2018 | 359 |
| 48 | Evaluation of the Potential for Gas and CO2 Leakage Along Wellbores Theresa L. Watson, Stefan Bachu · SPE Drilling & Completion | Mar 2009 | 355 |
| 49 | Pressure Drop In Wells Producing Oil And Gas Khalid Abdul Aziz, George W. Govier · Journal of Canadian Petroleum Technology | Jul 1972 | 355 |
| 50 | Helical Buckling of Tubing Sealed in Packers Arthur Lubinski, W.S. Althouse · Journal of Petroleum Technology | Jun 1962 | 355 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.