Seismic inversion as a reliable technique to anticipating of porosity and facies delineation, a case study on Asmari Formation in Hendijan field, southwest part of Iran

Abstract Porosity and facies are two main properties of rock which control the reservoir quality have significant role in petroleum exploration production. Well seismic data most prevalent information for characterization. such as logs prepare adequate vertical resolution but leave a large distance between wells. In comparison, three-dimensional can more detailed characterization inter-well space. Generally, an efficient tool identification structure; however, usable Therefore, these types were incorporated order to obtain including porosity study area. Using Multimin algorithm, petrophysical analysis was carried out estimation porosity. Then, accurate post-stack inversion accomplished acoustic impedance volume. The results showed that Ghar sandstone is characterized by lower compared high Asmari Formation. Because relationship (i.e., porosity), cube calculation performed artificial neural network method popular approach parameter exploration. consequences good agreement log based inversion-derived well cross-plots analyses illustrated member considered zone with 22 32 percent dolomite shows low interval characters 1 6 percent. findings this help better understanding (especially porous delineation) lithology discrimination reservoirs finding productive location Hendijan field.