The Alba Field OBC seismic survey

MacLeod, M. K.; Hanson, R. A.; Hadley, Mike; Reynolds, K. J.; Lumley, David; McHugo, S.; Probert, T.

doi:10.1190/1.1821128

Cited by 14 publications

(12 citation statements)

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“…However, the success of these studies and the promise of direct images of fluid movements have led researchers to begin monitoring nonthermal reservoir production mechanisms, which typically have a subtler seismic signature (Lumley et al, 1994;Sønneland et al, 1997;Eastwood et al, 1998;Johnston et al, 1998;MacCleod et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Cross‐equalization data processing for time‐lapse seismic reservoir monitoring: A case study from the Gulf of Mexico

2001

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Nonrepeatable noise, caused by differences in vintages of seismic acquisition and processing, can often make comparison and interpretation of time-lapse 3-D seismic data sets for reservoir monitoring misleading or futile. In this Gulf of Mexico case study, the major causes of nonrepeatable noise in the data sets are the result of differences in survey acquisition geometry and binning, temporal and spatial amplitude gain, wavelet bandwidth and phase, differential static time shifts, and relative mispositioning of imaged reflection events. We attenuate these acquisition and processing differences by developing and applying a cross-equalization data processing flow for time-lapse seismic data. The cross-equalization flow consists of regridding the two data sets to a common grid; applying a space and time-variant amplitude envelope balance; applying a first pass of matched filter corrections for global amplitude, bandwidth, phase and static shift corrections, followed by a dynamic warp to align mispositioned events; and, finally, running a second pass of constrained space-variant matched filter operators. Difference sections obtained by subtracting the two data sets after each step of the cross-equalization processing flow show a progressive reduction of nonrepeatable noise and a simultaneous improvement in timelapse reservoir signal.

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Section: Introductionmentioning

confidence: 99%

Cross‐equalization data processing for time‐lapse seismic reservoir monitoring: A case study from the Gulf of Mexico

2001

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“…The use of converted PS-waves to image reservoirs with low P-wave impedance but high S-wave impedance has attracted considerable interest in offshore exploration (e.g., MacLeod et al, 1999;Stewart et al, 2003). There are some cases of shear wave velocity inversion and stratigraphic inversion with PP and PS data (Mace et al, 2005;Wei et al, 2007).…”

Section: Introductionmentioning

confidence: 98%

Detection of gas reservoirs by the joint use of P- and PS-waves: A case study on the Ordos basin, China

Wei

Liu

et al. 2009

Earthq Sci

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We present an example of using converted-waves for characterizing onshore gas reservoirs in the Ordos basin in Northwest China. The Ordos basin is the largest gas province in China. The main gas reservoirs (about 3 300 m in depth) are in upper Paleozoic sandstone that has low or reversed P-wave impedance and is immediately above a coal seam. This makes it very difficult to image the gas reservoirs using conventional P-wave data. Analysis of core, log and VSP data shows a weak PP reflection but a relatively strong PS-converted wave reflection, or both strong PP-and PS-reflections but with opposite polarity from the gas bearing sands, which indicates the potential of using PS-waves to image the gas reservoirs in the Ordos basin. Subsequently, thirteen seismic lines were acquired, processed and interpreted to verify the PP-and PS-responses, and two corresponding attributes (PP-and PS-amplitude ratio and polarity ratio) are used to map the reservoirs through joint PP and PS analysis.

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“…The unique properties of S-waves can provide significant added value over conventional P-wave methods. For example, S-wave velocity contrast of sand channels has recently been found to be a perfect asset in delineating the limits and morphology of the Alba field in the North Sea (MacLeod et al 1999). Additionally, the insensitivity of S-waves to pore fluids has been revealed to be a great help in imaging the structure of the Valhall where P-wave structural could not be very helpful due to presence of a gas chimney (Thomsen et al 1997).…”

Section: Introductionmentioning

confidence: 99%

Shear Wave Splitting Analysis to Estimate Fracture Orientation and Frequency Dependent Anisotropy

et al. 2016

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The Alba Field OBC seismic survey

Cited by 14 publications

References 0 publications

Cross‐equalization data processing for time‐lapse seismic reservoir monitoring: A case study from the Gulf of Mexico

Cross‐equalization data processing for time‐lapse seismic reservoir monitoring: A case study from the Gulf of Mexico

Detection of gas reservoirs by the joint use of P- and PS-waves: A case study on the Ordos basin, China

Shear Wave Splitting Analysis to Estimate Fracture Orientation and Frequency Dependent Anisotropy

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