9/12/2023 0 Comments Mtg spike definition![]() 2006 Dossal and Mallat 2005 Maurya and Sarkar 2016 Maurya and Singh 2018). Though, there are several post-stack inversion methods like model-based inversion (MBI), band-limited inversion (BLI), linear programming sparse spike inversion (LPSSI), colored inversion (CI) and maximum likelihood sparse spike inversion (MLSSI) available, but in this study we have adopted maximum likelihood sparse spike inversion method because this is fast and gives better results than other inversion methods (Russell 1988 Russell and Hampson 1991 Helgesen et al. P-impedance provides information about the properties of rock constituting the reservoir (Buxton et al. The P-impedance and the density parameters are derived from these inversions. ![]() These methods produced extraordinary resolution images of the subsurface, which enhanced the seismic interpretation and has significantly reduced the drilling risk. The post-stack inversion methods were developed with the design of wavelet amplitude and phase spectra extraction algorithms (Lindseth 1979 Yilmaz 2001 Maurya and Singh 2015). This study focuses post-stack seismic inversion methods. This study is related to the seismic inversion methods which are classified as pre-stack and post-stack inversion methods. 1984 Cooke and Schneider 1983 Maurya et al. There are two types of integration, the forward modeling and inverse synthetic seismic data modeling which is known as seismic inversion and has been explained by several authors (Lindseth 1979 Oldenburg et al. The process of combining seismic and well log data has been a routine goal of researchers from last few years because of the movement from exploration to growth of existing fields containing several wells in the field. This is preliminarily interpretation however to confirm a reservoir, there is need for more petrophysical parameters to be studied. The analysis shows anomaly in between 600 and 700 ms time interval which corroborates well with the low-impedance zone which may correspond to the reservoir. After getting reasonable results, the whole seismic section is inverted for the P-wave velocity and porosity volume. The method is first applied to the composite traces near to well locations, and results are compared with well log data. ![]() These parameters strengthen the seismic data interpretation which is very crucial step of any exploration and production project. Thereafter, the probabilistic neural network analysis is performed to predict porosity along with multi-attribute transform analysis to estimate P-wave velocity and porosity in inter-well region. The analysis also shows low-impedance anomaly in between 600 and 700 ms time interval which may be due to the presence of sand formation. The correlation between synthetic seismic trace and original seismic trace is found to be 0.93 and the synthetic relative error as 0.369, which indicate good performance of the algorithm. ![]() The analysis shows that the impedance varies from 2500 to 6200 m/s/*g/cc in the region which is relatively low and indicates the presence of loose formation in the area. ![]() In present study, maximum likelihood sparse spike inversion technique is applied to the processed 3D post-stack seismic data from the F-3 block, the Netherlands, for estimation of acoustic impedance in the region between the wells. Maximum likelihood sparse spike inversion (MLSSI) method is commonly used in the seismic industry to estimate petrophysical parameters in inter-well region. ![]()
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