Alireza Shiri - Birjand University, School of Mining, Birjand, Iran
Yousef Shiri - Shahrood University of Technology, School of Mining, Petroleum and Geophysics, Shahrood, Iran
Ali Moradzadeh - Shahrood University of Technology, School of Mining, Petroleum and Geophysics, Shahrood, Iran
Reza Ghavami-Riabi - Shahrood University of Technology, School of Mining, Petroleum and Geophysics, Shahrood, Iran

Risk evaluation for potential resources is prior to any investments in petroleum development strategy. In this study, integration of all availabledata, detailed three dimensional model, stochastic analysis, Monte Carlosimulation and quantifying uncertainties for realistic decision-making isaddressed. The used methodology was the probability estimation of uncertainreservoir parameters such as porosity, water saturation and net volume bycombination of hard and soft data and performing a statistical risk analysis involving iteration of reserve estimations by generating random numbers and spatial distributions of reservoir parameters.

Seismic Inversion, Petrophysical Evaluation and Modeling, Risk Analysis, Stochastic Evaluation of Gas In-Situ Reserve