Seismic Amplitude Loss Compensation for Future Reservoir Characterization Studies in Peciko Field - Indonesia

Abstract

U.S.A., This paper describes a post-stack methodology to compensate the amplitude loss prior to commencing further seismic reservoir characterization studies in Peciko field. The available 3D seismic data shows that the high frequency part (25-55 Hz) of the seismic signal contributes more significantly to the variability of extracted wavelet amplitude than the low frequency part (5-25 Hz) and within the high frequency part, the amplitudes of the extracted wavelets correlate positively with the RMS amplitude of seismic traces from which the wavelets have been extracted.This analysis led to the design and testing of a two-step amplitude correction scheme based on maps of RMS amplitude derived from the low and high frequency bands. The first step consists of locating the areas where the seismic signals require correction. The second step respects the defined correction area and uses specific gain maps for the low frequency and high frequency components. These corrections were optimized and controlled under the careful scrutiny of quantitative seismic-towell ties and attribute maps.Application of the methodology has brought significant improvements to the initial seismic dataset, e.g. better preserved amplitudes, less variability of wavelet amplitude and enhanced seismic detection. All of these advantages were successfully obtained while barely influencing the background information. However, it has been shown that the relative added-value resulting from this approach will depend on the quality of the initial dataset itself. Heavily damaged amplitudes under massive shallow gas or anomalously low velocity features will probably be insufficiently compensated. In this perspective, careful control at many well locations and the mapping of QC attributes are very important to assess the method.In our Peciko case, the compensated cube enables refinement of the previous interpretations and optimization of the development plan. Furthermore, these results motivated the application to the existing angle sub-stacks and opened the way to pre-stack seismic inversion for a more extensive reservoir characterization. This workflow has been applied to the other 3D datasets, such as Tunu and Bekapai 3D, which suffer from similar amplitude losses phenomena associated with carbonate or coal masking and shallow gas pockets.

Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models

“…The recent use of seismic technology in reservoir characterization (Brahmantio et al, 2012;Maity and Aminzadeh, 2012) has become increasingly common. It has also been combined with production data for reservoir management (Nalonnil and Marion, 2010;Liang et al, 2011;Suman et al, 2011) as well as history matching (Jin et al, 2011;Kazemi and Stephen, 2010) and stratigraphic trap identification (Lertlamnaphakul et al, 2012).…”