Model-Driven Processing of Passive Seismic While Drilling Data Acquired Using Distributed Acoustic Sensing Without Conventional Drill-Bit Pilot Measurements

  • 0Centre for Exploration Geophysics, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.

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Summary

This summary is machine-generated.

This study introduces a new Seismic While Drilling (SWD) processing workflow using Distributed Acoustic Sensing (DAS) data. The method successfully recovers subsurface velocity and structural information without pilot signals, simplifying passive seismic deployment.

Area Of Science

  • Geophysics
  • Seismology
  • Petroleum Geoscience

Background

  • Conventional Seismic While Drilling (SWD) relies on measured drill bit signatures for processing passive seismic data.
  • Acquiring pilot signals is crucial for correlating passive seismic recordings and determining source trigger times in traditional SWD.
  • Challenges arise in SWD processing when pilot signals are unavailable, necessitating inference of source timing and signature from recorded wavefields.

Purpose Of The Study

  • To present an advanced processing workflow for Distributed Acoustic Sensing (DAS) based SWD data acquired without pilot signals.
  • To transform passive SWD data into active seismic equivalents for simplified subsurface characterization.
  • To demonstrate the recovery of reliable velocity and structural information from DAS-based SWD data in a cross-well setting.

Main Methods

  • Developed a processing workflow guided by travel time and seismic modeling.
  • Transformed passive SWD data into active seismic data equivalents.
  • Applied travel time tomography and cross-well imaging to the transformed data.

Main Results

  • Successfully processed a SWD dataset acquired with DAS in a cross-well setting without pilot signals.
  • Demonstrated the ability to infer source timing and signature from the recorded wavefield.
  • Recovered reliable velocity and structural information from the DAS-based SWD data.

Conclusions

  • The presented workflow enables simplified and scalable deployment of passive seismic while-drilling workflows.
  • Reliable subsurface velocity and structural information can be obtained from DAS-based SWD data even without pilot measurements.
  • The method facilitates advanced subsurface characterization using passive seismic data acquired during drilling operations.

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