Intelligent oil field technology maturity level assessment: using the technology readiness level criteria

Hajar Pouran Manjily, Mahmood Alborzi, Turaj Behrouz, Seyed Mohammad Seyed- Hosseini
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Abstract

Purpose This study aims to focused on conducting a comprehensive assessment of the technology readiness level (TRL) of Iran’s oil field intelligence compared to other countries with similar oil reservoirs. The ultimate objective is to optimize oil extraction from this field by leveraging intelligent technology. Incorporating intelligent technology in oil fields can significantly simplify operations, especially in challenging-to-access areas and increase oil production, thereby generating higher income and profits for the field owner. Design/methodology/approach This study evaluates the level of maturity of present oil field technologies from the perspective of an intelligent oil field by using criteria for measuring the readiness of technologies. A questionnaire was designed and distributed to 18 competent oil industry professionals. Using weighted criteria, a mean estimate of oil field technical maturity was derived from the responses of respondents. Researchers evaluated the level of technological readiness for Brunei, Kuwait and Saudi Arabia’s oil fields using scientific studies. Findings None of the respondents believe that the intelligent oil field in Iran is highly developed and has a TRL 9 readiness level. The bulk of experts believed that intelligent technologies in the Iran oil industry have only reached TRL 2 and 1, or are merely in the transfer phase of fundamental and applied research. Clearly, Brunei, Kuwait and Saudi Arabia have the most developed oil fields in the world. In Iran, academics and executive and contracting firms in the field of intelligent oil fields are working to intelligently develop young oil fields. Originality/value This study explores the level of maturity of intelligent technology in one of Iran’s oil fields. It compares it to the level of maturity of intelligent technology in several other intelligent oil fields throughout the globe. Increasing intelligent oil fields TRL enables better reservoir management and causes more profit and oil recovery.
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智能油田技术成熟度水平评价:采用技术成熟度标准
本研究旨在对伊朗油田情报的技术准备水平(TRL)进行全面评估,并与其他具有类似油藏的国家进行比较。最终目标是利用智能技术优化该油田的石油开采。将智能技术应用于油田可以大大简化作业,特别是在难以进入的区域,并增加石油产量,从而为油田所有者带来更高的收入和利润。本研究从智能油田的角度,通过使用衡量技术成熟度的标准来评估当前油田技术的成熟度水平。设计了一份调查表,分发给18名石油工业专业人员。利用加权标准,从受访者的回答中得出油田技术成熟度的平均估计值。研究人员利用科学研究评估了文莱、科威特和沙特阿拉伯油田的技术准备水平。没有一个受访者认为伊朗的智能油田是高度发达的,具有TRL 9准备水平。大多数专家认为,伊朗石油工业的智能技术仅达到TRL 2和TRL 1,或者仅仅处于基础和应用研究的转移阶段。显然,文莱、科威特和沙特阿拉伯拥有世界上最发达的油田。在伊朗,智能油田领域的学者、执行和承包公司正致力于智能开发年轻油田。独创性/价值本研究探讨了伊朗某油田智能技术的成熟程度。并将其与全球其他几个智能油田的智能技术成熟水平进行了比较。智能油田TRL的增加可以更好地管理油藏,提高利润和采收率。
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来源期刊
CiteScore
5.90
自引率
8.70%
发文量
57
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