The Evolution of Imaging over Azeri, from TTI Tomography to Anisotropic FWI

Selwood, C.; Shah, H.; Mika, Jim; Baptiste, Dale

doi:10.3997/2214-4609.20130831

Cited by 3 publications

(2 citation statements)

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“…FWI, as it has come to be widely applied across the petroleum industry, uses wide-angle, long-offset, lowfrequency data that are dominated by forward-scattered, refracted, transmitted arrivals (Sirgue 2006;Prieux et al 2011;Vigh et al 2011;Mothi et al 2013;Vigh et al 2013a;Yoon et al 2014). With few exceptions (Guasch et al 2012;Lu et al 2013;Vigh et al 2013b), commercial FWI uses an acoustic approximation to the wave equation (Virieux & Operto 2009;Kapoor et al 2013) and commonly includes the kinematic (traveltime) effects of P-wave anisotropy (Bansal et al 2013;Jones et al 2013;Selwood et al 2013;Warner et al 2013). The clear verifiable success of acoustic inversions is somewhat surprising given that they cannot properly account for viscoelastic and other effects in field data.…”

Section: F U L L -Wav E F O R M I N V E R S I O Nmentioning

confidence: 99%

“…This technology is now commonly used to obtain fine-scale models of P-wave velocity which, when used in pre-stack or reverse-time depth migrations, lead to a significant improvement in reflection images (e.g. Plessix & Perkins 2010;Sirgue et al 2010;Ratcliffe et al 2011;Kapoor et al 2012;Houbiers et al 2013;Jones et al 2013;Selwood et al 2013;Warner et al 2013). To date, 3-D FWI has been predominantly applied to industrial streamer (Jones et al 2013), ocean-bottom-cable (Sirgue et al 2010) and dense oceanbottom-node data (Bansal et al 2013) which more-than-adequately sample the subsurface for FWI applications, meaning there is significant data redundancy and only a subset of the data set is utilized when running inversions (Warner et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Next-generation seismic experiments – II: wide-angle, multi-azimuth, 3-D, full-waveform inversion of sparse field data

Morgan¹,

Warner²,

Arnoux

et al. 2016

Geophys. J. Int.

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S U M M A R Y3-D full-waveform inversion (FWI) is an advanced seismic imaging technique that has been widely adopted by the oil and gas industry to obtain high-fidelity models of P-wave velocity that lead to improvements in migrated images of the reservoir. Most industrial applications of 3-D FWI model the acoustic wavefield, often account for the kinematic effect of anisotropy, and focus on matching the low-frequency component of the early arriving refractions that are most sensitive to P-wave velocity structure. Here, we have adopted the same approach in an application of 3-D acoustic, anisotropic FWI to an ocean-bottom-seismometer (OBS) field data set acquired across the Endeavour oceanic spreading centre in the northeastern Pacific. Starting models for P-wave velocity and anisotropy were obtained from traveltime tomography; during FWI, velocity is updated whereas anisotropy is kept fixed. We demonstrate that, for the Endeavour field data set, 3-D FWI is able to recover fine-scale velocity structure with a resolution that is 2-4 times better than conventional traveltime tomography. Quality assurance procedures have been employed to monitor each step of the workflow; these are time consuming but critical to the development of a successful inversion strategy. Finally, a suite of checkerboard tests has been performed which shows that the full potential resolution of FWI can be obtained if we acquire a 3-D survey with a slightly denser shot and receiver spacing than is usual for an academic experiment. We anticipate that this exciting development will encourage future seismic investigations of earth science targets that would benefit from the superior resolution offered by 3-D FWI.

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Section: F U L L -Wav E F O R M I N V E R S I O Nmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Next-generation seismic experiments – II: wide-angle, multi-azimuth, 3-D, full-waveform inversion of sparse field data

Morgan¹,

Warner²,

Arnoux

et al. 2016

Geophys. J. Int.

View full text Add to dashboard Cite

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Investigating the use of 3-D full-waveform inversion to characterize the host rock at a geological disposal site

Bentham

Morgan

Angus

2018

Geophysical Journal International

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Geomechanical characterization of mud volcanoes using P-wave velocity datasets

Gulmammadov

Covey-Crump²,

Huuse³

2017

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Mud volcanoes occur in many petroliferous basins and are associated with 8 significant drilling hazards. To illustrate the type of information that can be extracted 9 from limited petrophysical datasets in such geomechanically complex settings, we use 10 P-wave velocity data to calculate mechanical properties and stresses on a 2D vertical 11 section across a mud volcano in the Azeri-Chirag-Guneshly field, South Caspian Basin. 12We find (a) that the values of the properties and stresses calculated in this way have eruptions (Lerche & Bagirov 1999; Kopf et al. 2009; Contet & Uterseh 2015; Hill et al. 50 2015), and (e) controls on the geochemistry of the erupted fluids (Azzaro et al. 1993; 51 Mazzini et al 2009; Bristow et al. 2000; Feseker et al. 2010; Oppo et al. 2014). In 52 offshore areas, numerous multi-scale near-surface geological studies have been 53 performed to mitigate the risks to seabed facilities that are associated with mud volcano 54 activity and its accompanying hazardous phenomena, such as the presence of shallow 55 gas, slope failure and pockmarks (Hill et al. 2015; Contet & Unterseh 2015; Unterseh & 56 Contet 2015). Yet the extent to which drilling in such zones has to be avoided because of 57 mud volcano related risks remains unclear. 58Among the challenges posed by the complicated geology in and around mud volcanoes 59 is the prediction of local pore fluid pressures which has significant implications for 60 drilling (e.g. borehole blowouts and instability). Understanding these manifestations of 61 3 localized fluid flow from a geomechanical perspective requires an analysis of the fluid 62 and pressure distribution, the deformation history, the distribution of fractures, and the 63 state of stress around the mud volcano. This, in turn, requires comprehensive 64 petrophysical datasets and sophisticated data analysis. However, within these 65 geomechanically complex areas there remains value in adopting a simpler 66 reconnaissance-type approach in order to identify targets for more detailed 67 investigation and key features that require a better understanding. 68In this paper, we use P-wave velocity data available in the public domain to estimate the 69 mechanical properties and stresses on a 2D vertical section across a mud volcano 70 structure located in the Azeri part of the Azeri-Chirag-Guneshly (ACG) field, South 71Caspian Basin (SCB). The aim of the study is to determine whether useful 72 geomechanical information can be extracted from such a limited dataset. 73 Geological setting 74 Regional geology 75The South Caspian Basin, offshore Azerbaijan (Fig. 1a) (Fig. 84 1b). Along the northern margin of the basin, anticlinal structures developed within the 85 NW-SE trending Absheron-Balkhan deep-seated structural uplift, which is the offshore 86 extension of the Caucasus fold belt (Fig. 1a). 87The sedimentary succession in the basin (Fig. 2) The lacustrine shales act as major pressure seals within the basin (Javanshir et al. 102 2015). 103Within the South Caspian Basin ...

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The Evolution of Imaging over Azeri, from TTI Tomography to Anisotropic FWI

Cited by 3 publications

References 0 publications

Next-generation seismic experiments – II: wide-angle, multi-azimuth, 3-D, full-waveform inversion of sparse field data

Next-generation seismic experiments – II: wide-angle, multi-azimuth, 3-D, full-waveform inversion of sparse field data

Investigating the use of 3-D full-waveform inversion to characterize the host rock at a geological disposal site

Geomechanical characterization of mud volcanoes using P-wave velocity datasets

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