Integration of Seismic Attributes and Wellbore Data of Ghar Formation in the Hendijan and Bahregansar Oilfields
نویسندگان
1 Professor, Institute of Geophysics, University of Tehran, Tehran, Iran
2 Ph.D. Candidate, Faculty of Earth Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran
3 M.S. Student, Faculty of Mining Engineering, Science and Research Branch, University of Tehran, Tehran, Iran
doi
10.22050/ijogst.2022.336225.1634چکیده
The primary purpose of this paper is to estimate and evaluate the petrophysical properties of the Ghar formation in the Hendijan and Bahregansar oilfields using a combination of seismic and well-log data. This study follows a step-by-step regression approach. First, sonic, density, and porosity well-log data are collected. Second, seismic attributes, including amplitude, phase, frequency, and acoustic impedance, are extracted from the seismic lines intersecting the wellbore locations. Then, using the MFLN and PNN intelligent systems, a relationship between porosity, shale volume, saturation, and seismic attributes is established. Using this relationship, the physical and petrophysical properties of the reservoir in the Ghar formation are estimated and evaluated. We estimated the reservoir porosity to be between 15% and 20%, higher in the Hendijan oilfield than in the Bahregansar oilfield. The water saturation in the Ghar formation varied from 25% to 30%. On the other hand, the clay content and shale volume of the Ghar formation in the Hendijan field were higher than those of the Bahregansar oil field.
