Research and Development of Digital Twin System for Deep In-situ Fidelity Coring
Geological coring technology plays an important role in mineral and energy exploration, engineering geological survey and geoscience research, especially in realizing the sustainable development of energy. With the increase of drilling depth and formation complexity, the traditional coring technology is faced with the problems of core information loss and limited geological value. Conventional fidelity coring usually only considers temperature and pressure, so it shows limited fidelity ability in deep geological exploration, which is difficult to meet the demand. For this reason, the development of deep in-situ fidelity coring technology is necessary. In this paper, digital twinning technology is introduced into this field, and the coring process is innovated by establishing a deep in-situ fidelity coring system. This system significantly improves the digitization, visualization and intelligence of the coring process, promotes the efficiency of equipment research and development, greatly shortens the operation cycle and cost, and improves the accuracy and integrity of geological information acquisition. The application of digital twinning technology not only supports the real-time simulation and data mapping of deep rock samples, but also accurately reflects the geological environmental conditions and ensures the high fidelity geological value of the samples. This study provides technical support for the efficient and low-cost development of deep resources, contributes a lot to the sustainable development of global energy, and promotes the upgrading of intelligent geological exploration equipment. Through system architecture design, functional module division and twin model construction, the research shows the effectiveness and practicability of the digital twin system, which lays a foundation for future research and application in related fields.
Institutions
- Sichuan University (CN)
Publication Details
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1109/uv63228.2024.11189197
- Primary Topic
- Geological Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00