Abstract
Time-lapse seismics has a wide range of application in different scales, from near-surface to resource exploration. Crosshole seismics is used to characterize fluid reservoirs and to obtain highly resolved rock/soil-dynamic parameters e.g., elastic moduli and Poisson ratio. Developments in distributed acoustic sensing shows the potential of deploying permanent downhole receivers at low costs. In order to achieve an efficient and accurate time-lapse seismic measurement in such scenarios, we have developed a nonlinear waveform inversion to reconstruct velocity structure between boreholes using VSP data with source located only at the surface, and no downhole sources. The new approach formulates the forward modelling using wavefield representation theorem, which enables directly estimating the velocity structure by minimizing data residuals and calculating the gradient from the adjoint state problem. We test the approach using numerical modelling of time-lapse VSP data to detect layer-specific temporal changes. A heterogeneous shallow vadose zone represents a low-velocity layer. The results show that the new approach provides more stable and more accurate temporal velocity profiles than conventional full waveform inversion, when the initial velocity model does not include the shallow low-velocity layer. The new approach is robust and highly advantageous as it does not require downhole seismic sources.
Original language | English |
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Title of host publication | Near Surface Geoscience Conference & Exhibition 2019 |
Subtitle of host publication | 8-12 September 2019, The Hague, Netherlands |
Publisher | EAGE |
Pages | 1-5 |
Number of pages | 5 |
Publication status | Published - 2019 |
Event | Near Surface Geoscience Conference & Exhibition 2019 - The Hague, Netherlands Duration: 8 Sept 2019 → 12 Sept 2019 https://eage.eventsair.com/near-surface-geoscience-2019/25th-european-meeting |
Conference
Conference | Near Surface Geoscience Conference & Exhibition 2019 |
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Country/Territory | Netherlands |
City | The Hague |
Period | 8/09/19 → 12/09/19 |
Internet address |