Intelligent hydraulic fracturing under industry 4.0—a survey and future directions
Abstract This paper investigates the automation of hydraulic fracturing within the context of Industry 4.0, defining intelligent fracturing systems through three components: surface equipment, downhole sensing, and software control systems. The study addresses major advancements such as real-time op...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-09-01
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| Series: | Journal of Petroleum Exploration and Production Technology |
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| Online Access: | https://doi.org/10.1007/s13202-024-01877-6 |
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| author | Jing Jia Qinghu Fan Jianglu Jing Kehui Lei Lichang Wang |
| author_facet | Jing Jia Qinghu Fan Jianglu Jing Kehui Lei Lichang Wang |
| author_sort | Jing Jia |
| collection | DOAJ |
| description | Abstract This paper investigates the automation of hydraulic fracturing within the context of Industry 4.0, defining intelligent fracturing systems through three components: surface equipment, downhole sensing, and software control systems. The study addresses major advancements such as real-time optimization of fracturing parameters, intelligent allocation of fracturing fluids and materials, risk early warning systems, and fracture monitoring. It identifies four technical challenges: integrating heterogeneous data, developing intelligent decision-making algorithms, adaptive surface equipment adjustments, and multi-machine collaborative control. The paper reviews technological progress, foresees future benchmarks, and predicts the potential for unmanned fracturing operations, including site reconnaissance, autonomous fracturing unit driving, intelligent wellsite layout, fluid mixing, and operation execution. This comprehensive review delineates the developmental framework of intelligent fracturing, outlines key challenges, and forecasts future trends, marking a significant contribution to the field. |
| format | Article |
| id | doaj-art-ab1a1cd76c494af7b647a38fda4f9ba9 |
| institution | Kabale University |
| issn | 2190-0558 2190-0566 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Petroleum Exploration and Production Technology |
| spelling | doaj-art-ab1a1cd76c494af7b647a38fda4f9ba92025-01-05T12:09:13ZengSpringerOpenJournal of Petroleum Exploration and Production Technology2190-05582190-05662024-09-0114123161318110.1007/s13202-024-01877-6Intelligent hydraulic fracturing under industry 4.0—a survey and future directionsJing Jia0Qinghu Fan1Jianglu Jing2Kehui Lei3Lichang Wang4School of Geosciences and Info-physics, Central South UniversityDownhole Service Company of Xibu Drilling Engineering Company LimitedDownhole Service Company of Xibu Drilling Engineering Company LimitedHalliburton Energy Service (China) Company LimitedSchool of Geosciences and Info-physics, Central South UniversityAbstract This paper investigates the automation of hydraulic fracturing within the context of Industry 4.0, defining intelligent fracturing systems through three components: surface equipment, downhole sensing, and software control systems. The study addresses major advancements such as real-time optimization of fracturing parameters, intelligent allocation of fracturing fluids and materials, risk early warning systems, and fracture monitoring. It identifies four technical challenges: integrating heterogeneous data, developing intelligent decision-making algorithms, adaptive surface equipment adjustments, and multi-machine collaborative control. The paper reviews technological progress, foresees future benchmarks, and predicts the potential for unmanned fracturing operations, including site reconnaissance, autonomous fracturing unit driving, intelligent wellsite layout, fluid mixing, and operation execution. This comprehensive review delineates the developmental framework of intelligent fracturing, outlines key challenges, and forecasts future trends, marking a significant contribution to the field.https://doi.org/10.1007/s13202-024-01877-6Intelligent hydraulic fracturingTechnological integrationReal-time optimizationUnmanned operations |
| spellingShingle | Jing Jia Qinghu Fan Jianglu Jing Kehui Lei Lichang Wang Intelligent hydraulic fracturing under industry 4.0—a survey and future directions Journal of Petroleum Exploration and Production Technology Intelligent hydraulic fracturing Technological integration Real-time optimization Unmanned operations |
| title | Intelligent hydraulic fracturing under industry 4.0—a survey and future directions |
| title_full | Intelligent hydraulic fracturing under industry 4.0—a survey and future directions |
| title_fullStr | Intelligent hydraulic fracturing under industry 4.0—a survey and future directions |
| title_full_unstemmed | Intelligent hydraulic fracturing under industry 4.0—a survey and future directions |
| title_short | Intelligent hydraulic fracturing under industry 4.0—a survey and future directions |
| title_sort | intelligent hydraulic fracturing under industry 4 0 a survey and future directions |
| topic | Intelligent hydraulic fracturing Technological integration Real-time optimization Unmanned operations |
| url | https://doi.org/10.1007/s13202-024-01877-6 |
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