Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data.

Area of Science:

• Geophysics and Geomechanics
• Petroleum Engineering
• Sensing Technology

Background:

• Optic fiber downhole sensing is crucial for real-time monitoring of fracture propagation during hydraulic fracturing.
• Existing fracture shape inversion methods struggle with accurately capturing dynamic strain rate and shape changes, and are computationally intensive.

Purpose of the Study:

• To develop a novel full-time-step fitting inversion method for hydraulic fracture monitoring.
• To overcome the limitations of traditional methods in accurately representing fracture dynamics and reducing computational costs.

Main Methods:

• Proposed a full-time-step fitting inversion approach for optic fiber downhole sensing data.
• Implemented precise fitting across all time steps of fracture propagation to enhance accuracy.

Main Results:

• The full-time-step fitting method accurately captures spatiotemporal dynamics of fracture propagation.
• Significantly reduced computational costs compared to conventional single-time-step inversion methods.
• Overcame shape deviation problems and avoided significant errors in fracture shape reconstruction.

Conclusions:

• The proposed inversion method offers a more accurate and computationally efficient solution for monitoring hydraulic fracture propagation.
• This technique has substantial practical value for fracture monitoring and sensing in oil and gas fields.