Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Environmental and Engineering Geophysical Society ; 2005
    In:  Journal of Environmental and Engineering Geophysics Vol. 10, No. 2 ( 2005-06), p. 203-218
    In: Journal of Environmental and Engineering Geophysics, Environmental and Engineering Geophysical Society, Vol. 10, No. 2 ( 2005-06), p. 203-218
    Abstract: Models of in situ shear-wave velocities of shallow-water marine sediments are of importance for geotechnical applications, sediment characterization, and seismic exploration studies. Here pseudo-2D shear-wave velocity models are inferred from the lateral variation of Scholte-wave dispersion at five different geological sites in the Baltic Sea (northern Germany). To explore Scholte-wave dispersion and the lateral variability of shear-wave velocities, Scholte waves were excited by air gun shots in the water layer and recorded by stationary ocean-bottom-seismometers or buried geophones. We analyze the recorded seismograms in a common-receiver-gather using offset-windowed, multichannel dispersion analysis. The observed local slowness-frequency spectra for the different study sites vary significantly with respect to excitation amplitudes and phase slownesses of different modes, as well as the excited frequency range. The excitation amplitudes are influenced by the local shear-wave velocity structure, absorption, length of Scholte-wave travel path, and the elevation of the source above the sea floor. The inverted shear-wave velocities range from [Formula: see text]. Directly at the sea bottom, shear-wave velocities of [Formula: see text] for fine muddy sand and [Formula: see text] for glacial till were inferred. The maximum vertical gradient was [Formula: see text] (mean [Formula: see text]) within a depth range of [Formula: see text] , and horizontally [Formula: see text] (mean [Formula: see text] ) within [Formula: see text] distance. The layer boundaries in the inverted shear-wave velocity models are in good agreement with high-frequency, zero-offset compressional-wave reflections. However, it was not possible to acquire the fundamental Scholte mode above very soft, unconsolidated sediment with shear-wave velocities smaller [Formula: see text] . The analysis of synthetic data shows that this is due to the elevation of the source and the receiver response function.
    Type of Medium: Online Resource
    ISSN: 1083-1363 , 1943-2658
    Language: English
    Publisher: Environmental and Engineering Geophysical Society
    Publication Date: 2005
    detail.hit.zdb_id: 2252108-2
    SSG: 16,12
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2007
    In:  Geophysical Journal International Vol. 168, No. 2 ( 2007-02), p. 551-570
    In: Geophysical Journal International, Oxford University Press (OUP), Vol. 168, No. 2 ( 2007-02), p. 551-570
    Type of Medium: Online Resource
    ISSN: 0956-540X , 1365-246X
    URL: Issue
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2007
    detail.hit.zdb_id: 3042-9
    detail.hit.zdb_id: 2006420-2
    detail.hit.zdb_id: 1002799-3
    SSG: 16,13
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Society of Exploration Geophysicists ; 2011
    In:  The Leading Edge Vol. 30, No. 5 ( 2011-05), p. 514-524
    In: The Leading Edge, Society of Exploration Geophysicists, Vol. 30, No. 5 ( 2011-05), p. 514-524
    Abstract: By demonstrating offshore ambient-noise surface-wave tomography (ANSWT) at reservoir scale, we add a method to the commercially usable geophysical methods. Analysis of ambient-noise records at 126 locations above a hydrocarbon reservoir offshore Norway proves that the marine environment provides good conditions for 3D estimation of shear-wave velocities at frequencies above 0.1 Hz. The presented results are used to discuss potential application areas.
    Type of Medium: Online Resource
    ISSN: 1070-485X , 1938-3789
    Language: English
    Publisher: Society of Exploration Geophysicists
    Publication Date: 2011
    detail.hit.zdb_id: 1221792-X
    detail.hit.zdb_id: 2083479-2
    SSG: 16,13
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Society of Exploration Geophysicists ; 2017
    In:  GEOPHYSICS Vol. 82, No. 4 ( 2017-07-01), p. KS57-KS70
    In: GEOPHYSICS, Society of Exploration Geophysicists, Vol. 82, No. 4 ( 2017-07-01), p. KS57-KS70
    Abstract: Heterogeneous, nonstationary noise sources can cause traveltime errors in noise-based seismic monitoring. The effect worsens with increasing temporal resolution. This may lead to costly false alarms in response to safety concerns and limit our confidence in the results when these systems are used for quasi-real-time monitoring of subsurface changes. Therefore, we have developed a new method to quantify and correct these traveltime errors to more accurately monitor subsurface conditions at daily or even hourly timescales. It is based on the inversion of noise correlation asymmetries for the time-dependent distribution of noise sources. The source model is then used to simulate time-dependent ambient noise correlations. The comparison with correlations computed for homogeneous noise sources yields traveltime errors that translate into spurious changes of the subsurface. The application of our method to data acquired at Statoil’s SWIM array, a permanent seismic installation at the Oseberg field, demonstrates that fluctuations in the noise source distribution may induce apparent velocity changes of 0.25% within one day. Such biases thereby likely mask realistic subsurface variations expected on these timescales. These errors are systematic, being primarily dependent on the noise source location and strength, and not on the interstation distance. Our method can then be used to correct for source-induced traveltime errors by subtracting these quantified biases in either the data or model space. It can furthermore establish a minimum threshold for which we may reliably attribute traveltime changes to actual subsurface changes, should we not correct for these errors. In addition to the aforementioned real data scenario, we apply our method to a synthetic case for a daily passive monitoring overburden feasibility study. Synthetics and field experiments validated the method’s theory and application.
    Type of Medium: Online Resource
    ISSN: 0016-8033 , 1942-2156
    RVK:
    Language: English
    Publisher: Society of Exploration Geophysicists
    Publication Date: 2017
    detail.hit.zdb_id: 2033021-2
    detail.hit.zdb_id: 2184-2
    SSG: 16,13
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    Society of Petroleum Engineers (SPE) ; 2022
    In:  SPE Drilling & Completion Vol. 37, No. 03 ( 2022-09-14), p. 206-219
    In: SPE Drilling & Completion, Society of Petroleum Engineers (SPE), Vol. 37, No. 03 ( 2022-09-14), p. 206-219
    Abstract: The lateral well position uncertainty of magnetic/gyro measurement-while-drilling (MWD) measurements can often exceed the requirements regarding anticollision, for optimal placement of infill wells between existing producers, or for hitting targets with limited geological extent. The positional uncertainty can be significantly reduced by implementing high-precision drill-bit localization using passive seismic data. Consequently, not only drilling risks can be reduced, but optimal reservoir drainage is ensured as well. By using passive seismic recordings from the seafloor, we can “listen” to the noise generated by the bottomhole assembly (BHA) while drilling. Despite various noise sources in the vicinity (e.g., vessels and rigs), advanced data processing and the combination of hundreds of seafloor receivers spread above the ongoing drilling enable us to detect the drilling signal and locate the drill bit. Whereas the magnetic and gyro MWD tools have errors that accumulate with measured depth (MD), each bit position derived from seismic (usually every 90 seconds) is completely independent. For horizontal sections, the error does not increase with MD and hence can provide improved lateral accuracy. No additional BHA tool is required, and the measurements are neither dependent on the magnetic nor gravitational field. Moreover, the passive seismic measurements can be used to obtain an improved lateral well position estimate. This is done by optimizing the azimuth information of the well trajectory in the minimum curvature method. A lateral uncertainty measure can be derived from the residuals between the passive measurements and the updated well path. Since 2018, we have used the continuous stream of passive data from permanent seafloor sensors at the Grane Field, with its reservoir depth of around 1800 m true vertical depth subsea (TVDSS) to follow all wells with this drill-bit tracking scheme. Lateral deviations from the official well path based on magnetic/gyro measurements are mostly within ±30 m. The lateral position uncertainty can be as low as a couple of meters under optimal conditions.
    Type of Medium: Online Resource
    ISSN: 1064-6671 , 1930-0204
    Language: English
    Publisher: Society of Petroleum Engineers (SPE)
    Publication Date: 2022
    detail.hit.zdb_id: 2374631-2
    SSG: 19,1
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages