Process Safety Progress最新文献_第4页

Dispersion evaluation of hydrogen sulfide inclusion in a cryogenic distillation pilot plant 低温蒸馏试验设备中硫化氢夹杂物的分散评估

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-04-02 DOI: 10.1002/prs.12597

Mohd Syazwan Mohd Shukor, Rozita Omar, Mohamad Rezi Abdul Hamid, Mohd Razif Harun, Mohamad Syazarudin Md Said

{"title":"Dispersion evaluation of hydrogen sulfide inclusion in a cryogenic distillation pilot plant","authors":"Mohd Syazwan Mohd Shukor, Rozita Omar, Mohamad Rezi Abdul Hamid, Mohd Razif Harun, Mohamad Syazarudin Md Said","doi":"10.1002/prs.12597","DOIUrl":"https://doi.org/10.1002/prs.12597","url":null,"abstract":"A risk analysis simulation was completed for a cryogenic distillation (Cryo‐D) pilot operation processing a natural gas feed stream containing H2S. This study placed significant H2S concentration inside the Cryo‐D and evaluated its dispersion after a simulated leak within the pilot plant. Sensitivity analysis using an in‐house process simulation identified the operating conditions that caused the highest surroundings H2S concentration. A computational fluid dynamic (CFD) dispersion simulation assessed H2S leakage at the bottom column section and its effects on operators. A case with 60 bar column pressure, −30°C inlet temperature and 10% H2S input gas had the highest mass flow rate of 4.74 kg/h H2S through a leak. Leaked H2S covers 50% of the building within 60 s. Within 120 s, H2S accumulates toward the column bottom. At 120 s, most operators are exposed to above 1000 ppm H2S, which may cause fatalities instantly. Recommendations include enhancing the ventilation of the building by installing ventilation near the base of the cryogenic column in order to lessen the exposure concentration. In conclusion, H2S leakage from an indoor Cryo‐D pilot plant can cause catastrophic consequences due to its rapid dispersion and accumulation throughout the building.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"9 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140564581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of pre-startup safety review implementation tool for safe operation in process plant 为工艺设备的安全运行开发启动前安全审查实施工具

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-29 DOI: 10.1002/prs.12602

Amiruddin Abu Bakar, Hanida Abdul Aziz

{"title":"Development of pre-startup safety review implementation tool for safe operation in process plant","authors":"Amiruddin Abu Bakar, Hanida Abdul Aziz","doi":"10.1002/prs.12602","DOIUrl":"https://doi.org/10.1002/prs.12602","url":null,"abstract":"A pre-startup safety review (PSSR) is a formal review of a chemical manufacturing process to verify that critical areas of the affected process have been assessed and addressed before using the process. It can be a new process or after modification to an existing process or operating conditions. There is concern about full implementation compliance, including designing the PSSR program, preparing the process to perform PSSR, following PSSR action items, and approving the PSSR report. This study aims to develop a PSSR Implementation Tool (PSSR-IT) via the Microsoft Excel platform. At the end of the self-assessment process, the end users were provided with the value of the percentage of compliance with PSSR requirements and a thorough review process prior to the start-up activities. A safety experts’ content validation index (CVI) was performed to ensure the tool's content was valid and sufficient for the PSSR process, followed by a case study. Feedback from process safety engineers and PSSR leaders as end users has been collected through the System Usability Scale (SUS). A total of 227 questions have been listed under 10 disciplines, including general info, operation, engineering, operational, process safety, health safety and environment (HSE), action log, final walk down, and approval that cover all essential aspects of review process prior to the start-up activities with CVI value of 0.98, k = 0.67. SUS findings demonstrated that all industrial experts and end users believe the tool is suitable and reliable, with a score >85%. Utilizing the PSSR tool will help the industries promote and improve the process safety program at the workplace.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"23 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk assessment method in relation to coal mine gas explosion based on safety information loss 基于安全信息损失的煤矿瓦斯爆炸风险评估方法

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-26 DOI: 10.1002/prs.12601

Huimin Guo, Lianhua Cheng, Shugang Li, Bolin Jiang

{"title":"Risk assessment method in relation to coal mine gas explosion based on safety information loss","authors":"Huimin Guo, Lianhua Cheng, Shugang Li, Bolin Jiang","doi":"10.1002/prs.12601","DOIUrl":"https://doi.org/10.1002/prs.12601","url":null,"abstract":"Considering the uncertainty and fuzziness of the risk assessment index of coal mine gas explosion, a risk assessment model of gas explosion based on combinatorial weighting‐unascertained measure of safety information loss is proposed. First, 20 risk indicators are extracted from the six aspects of supply loss, transformation loss, transmission loss, perceived loss, cognition loss, and response loss in the process of safety information flow. The weight vector is constructed by the G1 method and anti‐entropy weight combination weighting method. Then, the single‐index measurement function is used to process the risk index measure. Based on the classification standard of the gas explosion risk assessment index, the single‐index and multi‐index measurement matrices are constructed. And the grade is judged according to the principle of maximum membership. Finally, a mine is selected for case application. The results show that the evaluation results are consistent with the actual situation and the method has certain feasibility. It provides a new idea and method for advanced control and accident prevention of coal mine gas explosion risk.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"23 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140302051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of ionic liquids toxicity using machine learning models for application to gas hydrate 利用机器学习模型预测离子液体的毒性，并将其应用于天然气水合物

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-23 DOI: 10.1002/prs.12599

Nurul Hannah Abdullah, Dzulkarnain Zaini, Bhajan Lal

{"title":"Prediction of ionic liquids toxicity using machine learning models for application to gas hydrate","authors":"Nurul Hannah Abdullah, Dzulkarnain Zaini, Bhajan Lal","doi":"10.1002/prs.12599","DOIUrl":"https://doi.org/10.1002/prs.12599","url":null,"abstract":"Ionic liquids (ILs) are highly favored in the oil and gas industry as gas hydrate inhibitors due to their dual functionality as thermodynamic inhibitor and kinetic hydrate inhibitor. Though known as the “green alternatives,” concerns about the effects of ILs in the environment are rising such that ILs can stabilize in water systems. Furthermore, there are insufficient data on the toxicity of ILs, limiting the use of ILs for industrial applications. Ridge, LASSO, decision tree, random forest, extra tree, gradient boost, and support vector regressions were used to develop IL toxicity predictive models. Random forest yielded the strongest predictive performance, scoring the highest R2 value of 0.86, with mean absolute error and root mean square error values of 0.32 and 0.43, respectively. Feature selections were conducted to investigate the contributions of the five molecular descriptors involved in developing regression models in this work. Descriptor MSDC was found to contribute the highest at 67% in predicting the toxicity of ILs, followed by SNarA and MAXDPC, demonstrating contributions of 15.2% and 14.1%, respectively. Further quantitative structure–activity relationship model validations were executed; the use of three descriptors resulted in a 2% increase in predictive performance for decision tree regression, whereas R2 values remained the same for random forest, extra tree, and gradient boosting.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"86 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140197752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transportation of hazardous material via railroad: Incident investigation and a case study of derailment in 2023 通过铁路运输危险材料：事故调查和 2023 年脱轨案例研究

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-22 DOI: 10.1002/prs.12598

Sophie Welch, Sungmin Youn, Andrew Nichols, Sukjoon Na, Ruiqing Shen

{"title":"Transportation of hazardous material via railroad: Incident investigation and a case study of derailment in 2023","authors":"Sophie Welch, Sungmin Youn, Andrew Nichols, Sukjoon Na, Ruiqing Shen","doi":"10.1002/prs.12598","DOIUrl":"https://doi.org/10.1002/prs.12598","url":null,"abstract":"Railway transportation of hazardous materials (HAZMAT) is common and is generally considered safe. However, transporting toxic, flammable, and explosive substances via railways carries significant risk due to their high volume, proximity to populated areas, low public awareness, and potential domino effect. Particularly, the practice has come into question after a Norfolk Southern train derailed in Ohio in February of 2023. This derailment continuously reminds the public and the industry that such incidents can profoundly affect a community, critical infrastructure, and the environment. To identify the root cause of the Ohio train derailment and discover the deficiency of the safety system applied, combining the cause mapping approach with the safety triad concept was employed in this study. Based on this approach and the preliminary incident investigation released by the National Transportation Safety Board, the incident sequence is established, and the causal events leading to this incident are identified in the three essential pillars of its safety system: prevention, mitigation, and response, respectively. The study subsequently develops recommendations to improve the safety system of HAZMAT freight trains. This is expected to lower further the probability and consequence of HAZMAT freight train incidents and ultimately result in long‐term changes in railroad transportation.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"163 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140197575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Special Issue Introduction LPA2023 特刊简介 LPA2023

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-22 DOI: 10.1002/prs.12596

Mardhati Zainal Abidin, Risza Rusli

引用次数: 0

Evaluation of risk associated with treatment of fat, oil, and grease: Grease interceptor from food processing industry effluent using bowtie analysis 评估与脂肪、油和油脂处理有关的风险：利用弓形分析从食品加工业污水中拦截油脂

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-20 DOI: 10.1002/prs.12600

Nurul Atikah Azmi, Hanida Abdul Aziz, Syamsul Bahari Abdullah, Norhuda Abdul Manaf, Lian See Tan

{"title":"Evaluation of risk associated with treatment of fat, oil, and grease: Grease interceptor from food processing industry effluent using bowtie analysis","authors":"Nurul Atikah Azmi, Hanida Abdul Aziz, Syamsul Bahari Abdullah, Norhuda Abdul Manaf, Lian See Tan","doi":"10.1002/prs.12600","DOIUrl":"https://doi.org/10.1002/prs.12600","url":null,"abstract":"Fat, oil, and grease (FOG), a deposit in wastewater, develops from any processes in food and processing industries. FOG deposits in wastewater management systems can cause blockages in sewer systems. Grease Interceptor (GI) is one of the control measures to treat and prevent the blockage of FOG deposits in the sewer system. Nevertheless, few studies evaluate the extended hazard of GI application in FOG treatment. This study aims to assess the risk of GI in FOG treatment by using a bowtie technique. The hazard identified is FOG itself, whereas the top event was GI failure. The high contributions of the threats were an unsuitable variation of GI's type and design, no GI cleaning process schedule, and a clogged outflow pipe from GI. GI design according to standard and cleaning FOG deposits in GI by a licensed grease hauler were two suitable preventive barriers. The desludging process is essential to guarantee that the GI operates smoothly and is identified as an excellent recovery barrier. Inter-rater reliability (IRR) analysis to measure the consistency of their ratings on the data provided. The experts had a 75% overall agreement value of IRR risk rating value on assets, while 50% agreement value on people.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"149 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140172680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ammonium nitrate & fertilizer safety. By Kishore D.Shah. Fertilizer & Nitrate Safety. 2022. pp. 294. ISBN: 9781914584213. £80 (hardcover), www.FertilizerAndNitrateSafety.com 硝酸铵与肥料安全。作者：Kishore D.Shah化肥与硝酸盐安全》。2022. pp.ISBN：9781914584213。80英镑（精装），www.FertilizerAndNitrateSafety.com

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-19 DOI: 10.1002/prs.12595

Ronald J. Willey

引用次数: 0

Decision‐making analysis in post‐fire and explosion aftermath assessment tool: A fuzzy cognitive mapping approach 火灾和爆炸后后果评估工具中的决策分析：模糊认知图法

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-11 DOI: 10.1002/prs.12586

Hasnolizar Zakaria, Masdi Muhammad

引用次数: 0

Supporting the transfer of knowledge in high-risk major accident environment 支持高风险重大事故环境中的知识转让

IF 1 4区工程技术

Process Safety Progress Pub Date : 2024-03-11 DOI: 10.1002/prs.12594

David Kryštof, Petr Adamec, Luboš Kotek, Zuzana Tichá, Petr Trávníček

{"title":"Supporting the transfer of knowledge in high-risk major accident environment","authors":"David Kryštof, Petr Adamec, Luboš Kotek, Zuzana Tichá, Petr Trávníček","doi":"10.1002/prs.12594","DOIUrl":"https://doi.org/10.1002/prs.12594","url":null,"abstract":"A key element in learning from accidents is the skill associated with the transfer of knowledge gained by the operator from historical incidents. These incidents can include accidents and near-misses that occurred on site or in similar companies outside the plant. Knowledge transfer within the enterprise can be supported by a suitable framework or model that is easily understood by a wide range of people who are interested in the lessons learned from accidents. The application of some of the knowledge transfer models used so far can be quite time consuming and uncomfortable for the participants. For this reason, this paper aims to propose a simple model designed to support knowledge transfer. This model is proposed based on the widely used PDCA (plan-do-check-act) framework. Its use is demonstrated by the case of a major accident that occurred in the Czech Republic. The model can be used not only for learning from major accidents that occur in the subject company but also for learning from near-misses or events that occurred in the past in similar plants. Thus, the model can easily help in increasing the efficiency of the accident-learning system in particular.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"28 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140107407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0