Inference of Intermittent Hydraulic Fracture Tip Advancement Through Inversion of Low-Frequency Distributed Acoustic Sensing Data
Characterizing the fluid-driven fracture-tip advancing process presents a significant challenge due to the difficulty of replicating real-world conditions in laboratory experiments and the lack of precise field measurements. However, recent advances in low-frequency distributed acoustic sensing (LF-...
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Veröffentlicht in: | Rock mechanics and rock engineering 2024-08, Vol.57 (8), p.6337-6353 |
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Sprache: | eng |
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Zusammenfassung: | Characterizing the fluid-driven fracture-tip advancing process presents a significant challenge due to the difficulty of replicating real-world conditions in laboratory experiments and the lack of precise field measurements. However, recent advances in low-frequency distributed acoustic sensing (LF-DAS) technology offer new opportunities to investigate the dynamics of propagating hydraulic fractures. In this study, we propose an iterative inversion method to characterize fracture-tip advancing behaviors using LF-DAS data. A forward geomechanical model is developed using the three-dimensional displacement discontinuity method, and the optimization is realized by a conjugate gradient method. The performance of the inversion algorithm is demonstrated using a synthetic case, in which the fracture half-length evolution and propagation velocity match well with the reference solutions. In addition, the averaged fracture cross-section area, fracture volume, and fracturing fluid efficiency can also be estimated, showing good agreements with true values of the synthetic case under reasonable assumptions. Then, a field case with a single-cluster hydraulic fracturing treatment from the Hydraulic Fracturing Test Site 2 project (HFTS-2) is studied. Our analysis of the inversion results reveals that the fracture propagates intermittently, as evidenced by the fracture half-length evolution. This unique field evidence can guide modeling efforts to incorporate this important physical behavior into fracture models, and the secondary information gathered from the study, including fracture cross-section area and volume, can help evaluate and optimize fracturing efficiency.
Highlights
Low-frequency distributed acoustic sensing provides a unique dataset to characterize the fracture propagation process.
A gradient-based inversion algorithm is developed and validated using a synthetic case to estimate the fracture tip advancing process.
In the presented field case, fracture propagates continuously in the beginning, followed by an intermittent advancement pattern |
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ISSN: | 0723-2632 1434-453X |
DOI: | 10.1007/s00603-024-03853-2 |