Intelligent hydraulic fracturing under industry 4.0—a survey and future directions
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.
Authors
- Kehui Lei
- Jiaqiang Jing (ORCID: https://orcid.org/0000-0003-4219-0829)
- Qinghu Fan
- Lichang Wang (ORCID: https://orcid.org/0000-0003-4755-8821)
- Jianglu Jing
Institutions
- Central South University (CN)
- Halliburton (United Kingdom) (GB)
- Key Laboratory of Nuclear Radiation and Nuclear Energy Technology (CN)
- Halliburton (United States) (US)
Publication Details
- Journal
- Journal of Petroleum Exploration and Production Technology
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1007/s13202-024-01877-6
- Citations
- 11
- Primary Topic
- Hydraulic Fracturing and Reservoir Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.34
Funders
- National Natural Science Foundation of China
- PetroChina Company Limited
- Natural Science Foundation of Hunan Province
- Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province
- Changsha Science and Technology Project