February 18, 2026
Reza Azin

Reza Azin

Academic Rank: Professor
Address: -
Degree: Ph.D in -
Phone: -
Faculty: Faculty of Petroleum, Gas and Petrochemical Engineering

Research

Title A fuzzy hierarchical analysis process for priority setting and resource allocation in carbon capture and storage technologies.
Type Article
Keywords
carbon capture and storage; resource allocation; prioritisation of technologies; hierarchical analysis; fuzzy theory
Journal Journal of Oil, Gas and Petrochemical Technology
DOI 10.22034/jogpt.2025.521111.1140
Researchers Fahimeh Fattahipour (First researcher) , Reza Azin (Second researcher)

Abstract

Implementing and developing carbon capture and storage (CCS) technologies can significantly impact the economic and environmental performance of oil and gas companies, creating at the same time various opportunities and threats for them. Given that resources—particularly financial, human, and technical—are indeed limited, it is essential for companies to evaluate the opportunities and threats associated with each CCS technology in order to allocate these resources effectively to research and development (R&D) projects. This research specifically focuses on prioritisation and resource allocation, presenting a fuzzy multi-criteria group decision-making methodology that was successfully applied to assess the development opportunities for CCS technologies at the Pars Special Economic Energy Zone (PSEEZ). In fact, the proposed methodology serves as a systematic and effective decision support tool, thereby enabling decision-makers to prioritise and select the most attractive technologies, where the attractiveness of each technology is defined by the associated opportunities and threats inherent in its acquisition and development.