Quarterly Publication

Document Type : Original Article


1 PhD Candidate, Technology Management, Faculty of Economics and Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Professor, Department of Economics, Faculty of Economics and Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Professor, Faculty of Management , Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.


The economic aspects of technological advances in the drilling industry using the maximum reservoir contact (MRC) method compared to other drilling technologies have been investigated in this study. Field and survey methods from combined implementation research methods have been performed by a dynamic approach using Vensim software. Professors, drilling and reservoir engineering professionals in the oil and gas drilling industry, or equivalent positions, comprised the study’s statistical population. Finally, 120 individuals were chosen by nonprobabilistic sampling (judgment) and the snowball method. In the Vensim dynamic environment, the simulation completion time (based on the 2017 dynamics model) and the initial simulation time (based on the 2013 dynamics model) were adjusted to generate a flow diagram analyzing the economic aspects of technological improvements in this type of drilling industry. According to the causal tree results, the drilling industry’s performance has the highest priority among studies of economic aspects of technological changes in the drilling industry using the MRC method. It has a significant relationship with technological changes in the drilling industry. The sensitivity analysis chart demonstrated that with a change in the variable of indicators of the drilling industry at an average level of 5.25 to 5.5, the target variable, i.e., the performance of the drilling industry, had the least sensitivity and had no particular effect on it. On the other hand, by modifying the effectiveness of the drilling industry, effectiveness indicators at the average level of 6.95, the target variable had the maximum sensitivity and had a very significant effect on it.


Main Subjects

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