Velocity Analysis and Update with 3D DAS-VSP to Improve Borehole/Surface Seismic Images

Li, Y.; Wu, Han; Wong, Wai-Fan; Hewett, Ben; Liu, Z.; Mateeva, Albena; López, Jorge L.

doi:10.1190/segam2015-5864923.1

Cited by 20 publications

(6 citation statements)

References 5 publications

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“…The results were compared against those from 3D VSP transit-time inversion (Leany, 2008;Li et al, 2015), which represents the current industry standard for model calibration and anisotropic property updates with 3D and WA VSP data. As expected, both solutions explained adequately the VSP data, yielding comparable close-tozero TT misfit.…”

Section: Joint Tomography With Simultaneous Updates and The Production Emb Strategymentioning

confidence: 99%

Improved imaging at Thunder Horse South with joint surface and borehole seismic tomography

Zdraveva¹,

Solano²,

Zaman³

et al. 2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Section: Joint Tomography With Simultaneous Updates and The Production Emb Strategymentioning

confidence: 99%

Improved imaging at Thunder Horse South with joint surface and borehole seismic tomography

Zdraveva¹,

Solano²,

Zaman³

et al. 2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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“…Over the last decade, distributed acoustic sensing (DAS) has proven to be an effective alternative in geophysics sensing technology, especially for vertical seismic profile (VSP), with its dense spatial sampling, large channel counts from a single cable and laser interrogation, therefore potentially offer higher quality data with better access than conventional point measurements. Many applications of fibre optic DAS have been reported, including imaging subsurface structures using borehole and surface data (Li et al ., 2015; Yu et al ., 2020), seismic data acquisition (Daley et al ., 2013; Mateeva et al ., 2013; Daley et al ., 2016, Merry et al, 2020), reservoir monitoring (Mateeva et al ., 2013; Mateeva et al ., 2017), fractures monitoring (Jin & Roy, 2017), flow characterization (Paleja et al ., 2015) and time lapse monitoring (Chavarria et al ., 2019; Zhou et al ., 2019; Chang & Nakata, 2020). In addition to its dense spatial sampling advantage, DAS also has operational cost benefit when the optical fibre is freely accessible (Lim and Sava 2018).…”

Section: Introductionmentioning

confidence: 99%

Frequency‐dependent signal‐to‐noise ratio effect of distributed acoustic sensing vertical seismic profile acquisition

Alzamil

Zhou

et al. 2021

Geophysical Prospecting

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Distributed acoustic sensing provides seismic sensors distributed every few metres over each fibre optic cable of several kilometres in length, serving as an ultra‐dense array for both surface and downhole seismic acquisitions. It is well‐recognized now that distributed acoustic sensing acquisition configuration can have profound effect on data quality, notably the choice of the gauge length and lead‐in cable length on the resulting signal to noise ratio. In this paper, we present a detailed study on how these effects behave differently over various signalling frequency bands. We derive the signal to noise ratio as a function of the peak frequency, gauge length and lead‐in cable length, and demonstrate significantly different 80 SNR samples behaviours over low, middle and high frequency bandwidths, respectively. These results, not only reveal the underlying mechanism for signal and noise variation as function of acquisition parameters, but also help identifying the desired gauge and cable lengths that better serve particular applications, such as inversion and imaging which take information from different frequency bands. A field data has been used to demonstrate these frequency‐dependent behaviours.

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“…Despite the recent technological advances in DAS, multicomponent DAS remains a missing piece of the puzzle to capture the full character of the seismic wavefield. In borehole application specifically, the usage of DAS focuses mainly on reservoir imaging (Mestayer et al 2011;Mateeva et al 2012Mateeva et al , 2013Wu et al 2015;Zhan, Kommedal and Nahm 2015;Jiang et al 2016) and velocity model updates (Li et al 2015;Wu et al 2015). Although, many examples show that DAS has the potential to provide low-cost reservoir monitoring (Hornman et al 2015;Chalenski et al 2016;Dou et al 2016), the conventional single component DAS measurements makes reservoir characterisation challenging.…”

Section: Introductionmentioning

confidence: 99%

High‐resolution multi‐component distributed acoustic sensing

Ning

Sava

2018

Geophysical Prospecting

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Distributed acoustic sensing uses an optical fibre together with an interrogator unit to perform strain measurements. The usage of distributed acoustic sensing in geophysics is attractive due to its dense spatial sampling and low operation cost if the optical fibre is freely accessible. In the borehole environment, optical fibres for distributed acoustic sensing are often readily available as a part of other sensing tools, such as for temperature and pressure. Although the distributed acoustic sensing system promises great potential for reservoir monitoring and surface seismic acquisition, the single axial strain measurement of distributed acoustic sensing along the fibre is inadequate to fully characterise the different wave modes, thus making reservoir characterisation challenging. We propose an acquisition system using five equally spaced helical optical fibres and a straight optical fibre to obtain six different strain projections. This system allows us to reconstruct all components of the 3D strain tensor at any location along the fibre. Analysing the condition number associated with the geometry of the optical fibre, we can systematically search for the optimum design parameters for our configuration. Numerical examples demonstrate the effectiveness of our proposed method to successful reconstruction of the full strain tensor from elastic wavefields of arbitrary complexity.

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Velocity Analysis and Update with 3D DAS-VSP to Improve Borehole/Surface Seismic Images

Cited by 20 publications

References 5 publications

Improved imaging at Thunder Horse South with joint surface and borehole seismic tomography

Improved imaging at Thunder Horse South with joint surface and borehole seismic tomography

Frequency‐dependent signal‐to‐noise ratio effect of distributed acoustic sensing vertical seismic profile acquisition

High‐resolution multi‐component distributed acoustic sensing

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