Muhammad Mujtaba Asad, Razali Bin Hassan, Qadir Mehmood Soomro and Fahad Sherwani
Page: 584-594 | Received 21 Sep 2022, Published online: 21 Sep 2022
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In this study, a conceptual framework is presented for development and implementation of an open source knowledge based expert system with novel controlling factors and measures for reducing work place risks and hazards in drilling process at oil and gas industries by using LabVIEW and MySQL software. Execution of this knowledge based expert system is to assist and facilitate the safety engineers and drilling crew to manage the safety protocols according to the health and safety acts and regulations in both domains (on and offshore) and prevent the injuries in hazardous research environments of oil and gas industries because fatality rates are highest during drilling process which demands increased efforts for improved safety plans at drilling sites. As discussed in this conceptual framework, respondent for the data collection for proposed system will be randomly selected health and safety experts and drilling crew of major onshore and offshore oil and gas industries from Malaysia (Petronas), Saudi Arabia (Saudi Aramco) and Pakistan (OGDCL). This conceptual framework will explain about the research methodology that consists of Preliminary and Post research analysis for analyzing the effectiveness and performance of the proposed expert system based on controlling factors. Expected outcome of this study is to implement this proposed conceptual framework for identifying the major controlling factors of accident prevention and effectiveness of proposed expert system for safety training activities in drilling process.
Muhammad Mujtaba Asad, Razali Bin Hassan, Qadir Mehmood Soomro and Fahad Sherwani. Development of KBES with Hazard Controlling Factors and Measures for Contracting
Health and Safety Risk in Oil and Gas Drilling Process: A Conceptual Action Plan.
DOI: https://doi.org/10.36478/sscience.2017.584.594
URL: https://www.makhillpublications.co/view-article/1818-5800/sscience.2017.584.594