journal article·2024-12-18Open access

Research on Key Technologies of 260 °C/210 MPa Ultra-Deep Logging Equipment

Zhanglong Chen, Wenhui Chen, Zhanhua You, Shuihang Wang, Xiao Liu, Dan Wu, Rui Deng

Applied Sciences· Volume 14· Issue 24

Abstract

Deep and ultra-deep oil, which are unconventional oil reservoirs have become an important field for increasing reserves and production in China’s oil and gas exploration and development, and pose higher requirements for ultra-deep logging technology and equipment. For addressing the technical challenges faced in the development of 260 °C/210 MPa ultra-high temperature and high-pressure logging equipment, based on the CPLog fast and imaging series instruments, this article originally proposes key core technologies and solutions such as 260 °C/210 MPa electromechanical sensors, 13,000 m cable communication, and large borehole correction processing. Through the design indoor testing of a BS-PT-based ultra-high temperature acoustic transducer, 260 °C/210 MPa instrument pressure-bearing housing components, and field testing of large borehole environment testing and 13,000-m cable 8000-m deep well data transmission, it will help develop a prototype of 260 °C/210 MPa ultra-high temperature and high pressure logging equipment. The key technology research of 260 °C/210 MPa logging equipment has laid the foundation for the development of ultra-deep logging equipment and provided technical support for the exploration and development of ultra-deep oil and gas at a depth of 10,000 m.
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Research context

OpenAlex topics: Iterative Learning Control Systems · Belt Conveyor Systems Engineering · Metallurgy and Material Forming

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Oil and Gas Resources and Exploration Technology of Ministry of Education, Yangtze University, Wuhan 430100, China

China National Logging Corporation, Xi’an 710077, China

Funding

China National Petroleum Corporation · China National Logging Corporation

References (19)

Show source-provided references
1. Unconventional Oil and Gas Resources and Exploration and Development Prospects in China10.1016/S1876-3804(12)60026-3 ↗
2. Current Status and Suggestions for Tackling the Challenges of Onshore Deep and Ultra-Deep Well Drilling and Completion Technology in China
3. Advances in Theories and Key Technologies of Onshore Ultra-Deep Oil and Gas Exploration10.1016/j.eng.2019.01.012 ↗
4. Geological Understanding and Favorable Exploration Areas of Ultra-Deep Oil and Gas in the Tarim Basin
5. New Advances and Prospects in Research on Deep and Ultra-Deep Oil and Gas Accumulation
6. Editorial Committee of “Brief History of Logging in China’s Petroleum Industry” (2022). Brief History of Logging in China’s Petroleum Industry, Petroleum Industry Press.
7. Luan, G., Zhang, J., and Wang, R. (2004). Piezoelectric Transducers and Transducer Arrays, Peking University Press.
8. BS-PT Based High-Temperature Piezoelectric Materials: Opportunities and Challenges
9. Revealing the Origin of Thermal Depolarization in Piezoceramics by Combined Multiple In-Situ Techniques10.1016/j.matlet.2018.11.032 ↗
10. (1999). Testmethods for the Properties of Piezoelectric Ceramics—Static Test for Piezoelectric Strain Constant d33 (Standard No. GB/T3389.2-1999).
11. (2008). Test Methods for the Properties of Piezoelectric Ceramics—Test for the Performance Parameter (Standard No. GB/T 3389-2008).
12. Xu, H. (1995). Mechanical Design Handbook, Machinery Industry Press.
13. A High-Speed Well Logging Telemetry System Based on Low-Power FPGA
14. Shi, M., Sha, K., and Liu, Y. (2014). Principles and Applications of Wireless Communication, People’s Posts and Telecommunications Press.
15. An Overview of OFDM Variants and Their Application
16. An Investigation of Dynamic Subcarrier Allocation in MIMO–OFDMA Systems10.1109/TVT.2007.899951 ↗
17. Shi, Z., and Hong, S. (2009). Baseband Design of OFDM Communication System Based on XILINX FPGA, Zhejiang University Press.
18. Numerical simulation and evaluation of residual oil saturation in waterflooded reservoirs10.1016/j.fuel.2024.134018 ↗
19. Hu, C., Deng, R., Hu, X., He, M., Zhao, H., and Jiang, X. (2024). An automatic methodology for lithology identification in a tight sandstone reservoir using a bidirectional long short-term memory network combined with Borderline-SMOTE. Acta Geophys.10.1007/s11600-024-01492-3 ↗