Porosity estimation using post-stack seismic inversion method in part of the Qom Formation in the Aran Anticline, Central Iran

Petro-physical parameters of the reservoir (porosity, permeability, water saturation) are the most important parameters of oil and gas reservoirs. Economic appraisals of oil and gas reservoirs, as well as management and planning for the production and development of these reservoirs are not possible without the estimation of petro-physical parameters. Since measurements of these parameters are possible only by digging wells and coring and due to the high costs of well drilling and extensive coverage of seismic data; it is better to estimate petro-physical parameters by discovering the relationship between seismic markers and petro-physical parameters in points far from wells by using seismic data. In this paper, the estimation of the porosity of the Qom structure in one of the oil fields was studied. Data available for this study include three-dimensional seismic data and porosity graphs, densities and compression velocity data in three wells in this area. After producing the sound resistance model to map the porosity changes; the cubic sound resistance and other markers were used by multi-marker method. Finally, it was found that among the five indicators; the sound resistance marker had the least error. As a result, using reversal results, it was possible to estimate porosity more accurately.