A comparative study of different types of the inversion algorithms for the reservoir characterization of Mehar Block, Pakistan

摘要: Seismic inversion is a geophysical technique, which converted the seismic data into rock physical properties that can help to design an earth model. Seismic inversion methods are useful to estimate the attributes of p-impedance (Zp), S-impedance (Zs), and density (ρ) that provide information about the reservoir. To fulfil the present research aims some standard seismic post-stack inversion methods has been used for reservoir characterization. The model-based inversion (MBI), colored inversion (CI), linear programming sparse spike (LPSS), maximum likelihood sparse spike (MLSS), and band-limited (BLI) inversions are applied to the given post-stack seismic data of the Mehar Block Lower Indus Basin to evaluate the objective of the current study. Such methods are normally used for the approximation of subsurface properties from seismic data but the problem arises in deciding which technique will provide more …