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End-to-End High-Quality Geophysics Workflow to Analyze Das-Acquired Induced Seismicity

Description: 

Cost-effective, easy to deploy make distributed acoustic sensors a tool of choice for long-term induce seismic monitoring either independently or in conjunction to 3C sensors. We propose a DAS-based end-to-end workflow for induced seismic monitoring operation.

First, to maximize the rock volume monitored while minimizing assets deployed, we perform a survey modeling leveraging an accurate velocity model while including attenuation and background noise previously gathered. Second, we model the waveforms associated to the various types of failure mechanisms likely to occur considering known geological and geomechanical data so to compare with waveforms issued from the failure locii as seen by the sensors. Third, we use a simulator of DAS-acquired passive seismic data observed in previous similar jobs to output data at real-time speed to verify the viability and effectiveness of the acquisition geometry and the processing system consider to monitor the long-term passive seismic activity. Fourth, knowing that an accurate velocity model is required to properly estimate source location, source parameters, and source mechanism of a detected microseismic event, we use a new method to simultaneously invert for the hypocenter and the velocity model to provide a robust long-term monitoring workflow. Thus, bypassing the repeated use of man-made, man-controlled sources to calibrate the velocity model while including scenarios when the velocity field evolves with time due to induced changes associated with operations. Fifth, we leverage a new real-time processing flow that involves image processing techniques applied to induced seismic datasets. This approach mimics an expert geophysicist's view to identify passive seismic events acquired using DAS data taking advantage of an algorithm integrating both image processing and traditional geophysical processing.

Session: Seismic Monitoring, Modelling and Management Needed for Geothermal Energy and Geologic Carbon Storage [Poster Session]

Type: Poster

Date: 5/2/2024

Presentation Time: 08:00 AM (local time)

Presenting Author: Erkan

Student Presenter: No

Invited Presentation: 

Authors