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Summary An inversion method for time-lapse seismic data is presented. The input data for the inversion is time-lapse ratios of reflection coefficients and elastic parameters for the subsurface at the time of the reference survey. The output is relative changes in P-wave velocity, S-wave velocity and density. The inversion method is calibrated on a synthetic time-lapse streamer dataset before it is applied to time lapse data from the Troll Field in the North Sea. Introduction In this study, we estimate relative changes in P-wave velocity, S-wave velocity and density due to production directly from a time-lapse streamer data set. The advantage of this approach is that we do not need to estimate the source wavelet in the reference and monitor survey and that the time-lapse data are treated as one single data set rather than two separate ones.
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Sognefjord Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Heather Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Fensfjord Formation (0.99)
- (9 more...)
Summary We present a new method for detecting time-lapse changes directly in prestack seismic surface data. The proposed 4D monitoring algorithm accounts for several important non-repeatability effects so that temporal changes in production are correctly measured. The time-lapse seismic monitoring approach is tested on prestack 4D data from a synthetic marine experiment, as well as from the Troll Field in the North Sea. Introduction A successful time-lapse seismic experiment has two important requirements; 1) The preprocessing time of the 4D data set must be relatively short to image actual production changes and 2) the major problem of non-repeatability effects such as acquisition differences, changes in the overburden function over the producing reservoir and strong noise contribution, must be taken into account.
- Europe > Netherlands (0.50)
- Europe > Norway > North Sea > Northern North Sea (0.25)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Sognefjord Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Heather Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > North Viking Graben > PL 054 > Block 31/6 > Troll Field > Fensfjord Formation (0.99)
- (9 more...)
To construct the finite-frequency Fréchet kernel, I present a theory for the traveltime of transmitted and a given reference velocity model, the source-receiver reflected waves wherein the finite-frequency of waves is geometry and the powerspectrum of the recorded wavefield taken into account. The finite-frequency wave theory is must be known. An example of sensitivity kernels successfully tested by using broadband waveform data for transmitted waves in a crosswell configuration is illustrated from a laboratory experiment that simulates a realistic in Figure 1. These Fréchet kernels are calculated high-resolution crosswell experiment. Lastly, I mention using the physical parameters in the Durham laboratory potential applications of the new approach in exploration experiment that I later in this paper use for verification seismological transmission and reflection experiments. of the presented finite-frequency wave theory. The offset between the vertical array of sources and receivers is 46.5 m, the frequency range of the transmitted waves goes