Petroleum Engineering – Exploration
Prediction of Shale Volume and Water Saturation using Pre-Stack Seismic and Well-Log Data in an Oil Field

Ali Jelvegarfilband; Mohammad Ali Riahi; Majid Bagheri

Volume 11, Issue 1 , January 2022

http://dx.doi.org/10.22050/ijogst.2022.338963.1638

Abstract
  The petrophysical parameters of the Ghar Formation are characterized in this study. A combination of pre-stack seismic data gathers and well-log data is used to estimate water saturation and shale volume in the Ghar reservoir. For such a purpose, first, the highest possible correlation between the well ...  Read More

Geophysics
Simplified Automatic Seismic to Well Tying Using Smooth Dynamic Time Warping Technique in R

Afshin Amiri; Majid Bagheri; Mohammad Ali Riahi

Volume 9, Issue 4 , October 2020, , Pages 85-92

http://dx.doi.org/10.22050/ijogst.2020.234641.1552

Abstract
  Seismic well tying is a crucial part of the interpretation phase in exploration seismology. Tying wells usually involves forward modeling a synthetic seismogram from sonic and density logs and then matching the obtained synthetic seismogram to the seismic reflection data. A huge amount of time is required ...  Read More

Geophysics
Using a novel method for random noise reduction of seismic records

Majid Bagheri; Mohammad Ali Riahi

Volume 7, Issue 3 , July 2018, , Pages 65-72

http://dx.doi.org/10.22050/ijogst.2018.75178.1381

Abstract
  Random or incoherent noise is an important type of seismic noise, which can seriously affect the quality of the data. Therefore, decreasing the level of this category of noises is necessary for increasing the signal-to-noise ratio (SNR) of seismic records. Random noises and other events overlap each ...  Read More

Support Vector Machine Based Facies Classification Using Seismic Attributes in an Oil Field of Iran

Majid Bagheri; Mohammad Ali Riahi

Volume 2, Issue 3 , July 2013, , Pages 1-10

http://dx.doi.org/10.22050/ijogst.2013.3640

Abstract
  Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis has ...  Read More