Comparison of Seismic Reconvolution and Gabor Deconvolution in Improving Seismic Images to Detect Local Fluid Trapping
Year: 2016
Proceedings Title : Proc. Indon. Petrol. Assoc., 40th Ann. Conv., 2016
Overburden and local structure could affect the stationary condition of recorded trace in its seismic section. The deeper the target lies, the bigger attenuation occurs. The bigger loss in wave energy results in lower resolution of recorded trace. The weak zone caused by local structures often couldn’t be recorded due to the small value of its reflection coefficient.
An oil field in the Java Sea has two wells positioned close to each other. In the same level, the shallower well produces water while the deeper well produces oil. Post-Stack Seismic section shows both target level indeed on the same trace. We evaluated this condition by applying both Seismic Reconvolution and Gabor Deconvolution to detect the possible local trap located between these wells. Results show that the enhanced seismic section from both methods could visualize the trace evolution between two wells which couldn’t be detected by Post-Stack Seismic. The enhanced arbitrary shows a small event that blocked the layer of oil-producing well and the water-producing well. This event could be resolved simply with Seismic Reconvolution, but this method could not answer the non-stationary problem of seismic data. Seismic Reconvolution replaces the wavelet formed by source signature in seismic by some more suitable Butterworth wavelet derived from the data itself. Gabor Deconvolution requires more parameters compared to Seismic Reconvolution, but on the positive side, the method addresses the non-stationary problem by using Lamoureux window to factorize a non-stationary seismic trace into smaller packets of stationary trace. To detect local fluid trapping between these wells, Seismic Reconvolution has benefits in fast processing time hence it is good for a quick-look before moving on to the further interpretation, while Gabor Deconvolution, with its lengthy processing time, has a benefit in enhancing the attenuation derived energy loss by addressing the non-stationary problem.
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