Van Nhu Nguyen, Nhu Tung Truong, Van Thinh Dinh, Viet Anh Nguyen
Climate change and fossil fuel depletion are the main reasons for many countries around the world to develop and implement energy transition strategies. Being a very clean burning fuel (generating steam only), hydrogen will play an important role in the transition from fossil energy to CO2-free energy. The paper introduces recent advances of hydrogen technology applied in transportation, industry, and power generation in the world; challenges regarding hydrogen safety and technology; barriers in social perception; and some recommendations for the development of hydrogen technology and environmentally friendly smart energy systems in Vietnam.
{"title":"Hydrogen application technologies and environmentally friendly smart energy system","authors":"Van Nhu Nguyen, Nhu Tung Truong, Van Thinh Dinh, Viet Anh Nguyen","doi":"10.47800/pvj.2021.12-05","DOIUrl":"https://doi.org/10.47800/pvj.2021.12-05","url":null,"abstract":"Climate change and fossil fuel depletion are the main reasons for many countries around the world to develop and implement energy transition strategies. Being a very clean burning fuel (generating steam only), hydrogen will play an important role in the transition from fossil energy to CO2-free energy. The paper introduces recent advances of hydrogen technology applied in transportation, industry, and power generation in the world; challenges regarding hydrogen safety and technology; barriers in social perception; and some recommendations for the development of hydrogen technology and environmentally friendly smart energy systems in Vietnam.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134103765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hydrogen, accounting for 75% of ordinary matter by mass and over 90% by atomic number, is the third most abundant element on the Earth's surface, mainly in the form of chemical compounds such as water and hydrocarbons. When burned, hydrogen gas (H2) produces heat and water without causing environmental pollution, thus it is expected to be one of the clean energy sources for the future. Industrial hydrogen has so far been mainly produced by thermochemical processes of fossil fuels such as coal and natural gas, and insignificantly by electrolysis of water. Recent natural hydrogen discoveries recorded in the world, especially the exploration and discovery of relatively pure underground hydrogen which was extracted and used as fuel for a local power generator in Bourakebougou (Mali), show the possibility of prospecting for underground natural hydrogen. The article provides an overview of natural hydrogen discoveries over the world and gives recommendations on the prospecting for underground natural hydrogen in Vietnam.
{"title":"Prospecting for underground natural hydrogen - new energy for the future","authors":"Anh Duc Nguyen, Ngoc Trung Phan","doi":"10.47800/pvj.2021.12-01","DOIUrl":"https://doi.org/10.47800/pvj.2021.12-01","url":null,"abstract":"Hydrogen, accounting for 75% of ordinary matter by mass and over 90% by atomic number, is the third most abundant element on the Earth's surface, mainly in the form of chemical compounds such as water and hydrocarbons. When burned, hydrogen gas (H2) produces heat and water without causing environmental pollution, thus it is expected to be one of the clean energy sources for the future. Industrial hydrogen has so far been mainly produced by thermochemical processes of fossil fuels such as coal and natural gas, and insignificantly by electrolysis of water. Recent natural hydrogen discoveries recorded in the world, especially the exploration and discovery of relatively pure underground hydrogen which was extracted and used as fuel for a local power generator in Bourakebougou (Mali), show the possibility of prospecting for underground natural hydrogen. The article provides an overview of natural hydrogen discoveries over the world and gives recommendations on the prospecting for underground natural hydrogen in Vietnam.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131140563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ba Nam Pham, Thi Ngoan Nghiem, Minh Phuong Dao, Thi Lan Oanh Nguyen, Hien Trang Ta, Linh Chi Tran
By 2050, blue hydrogen (produced by SMR method using CCS technology to capture CO2) will make up about 18% of hydrogen supply, whilst green hydrogen from solar power will account for 16%, from onshore wind power 16% and offshore wind power 9%. Global hydrogen demand is forecasted to increase to about 150 million tons by 2040 [1]. The article analyses the objective factors (i.e. size and structure of the economy, technological and social barriers) and policies of countries that affect hydrogen market development.
{"title":"Objective factors and policies of countries affecting hydrogen market development","authors":"Ba Nam Pham, Thi Ngoan Nghiem, Minh Phuong Dao, Thi Lan Oanh Nguyen, Hien Trang Ta, Linh Chi Tran","doi":"10.47800/pvj.2021.12-07","DOIUrl":"https://doi.org/10.47800/pvj.2021.12-07","url":null,"abstract":"By 2050, blue hydrogen (produced by SMR method using CCS technology to capture CO2) will make up about 18% of hydrogen supply, whilst green hydrogen from solar power will account for 16%, from onshore wind power 16% and offshore wind power 9%. Global hydrogen demand is forecasted to increase to about 150 million tons by 2040 [1]. The article analyses the objective factors (i.e. size and structure of the economy, technological and social barriers) and policies of countries that affect hydrogen market development.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130757081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, the oil and gas industry has been facing objections from a public greatly concerned with the severe environmental impact caused by fossil fuels and their infrastructures, and strong demands from policy makers seeking to meet decarbonisation goals. Amidst a global energy transition, the future demand, finance, and social responsibilities of oil and gas companies are increasingly in question. One of the biggest problems of the industry is what are the “green” solutions for the late-life offshore oil and gas assets. Energy integration with reusing or repurposing oil and gas assets for new technologies could be a worthwhile investment strategy helping reduce carbon emission from oil and gas production as well as accelerating carbon capture and storage (CCS) and green hydrogen development to support the global decarbonisation. According to research, the late-life offshore oil and gas assets play an important role in energy integration while helping to have more opportunities to develop the new technologies that are in the early stages of development with high capex, necessary to make them more economically attractive and facilitate maximum energy integration. Reusing or repurposing oil and gas infrastructure can lead to 30% capex saving and million tons of CO2 pa emission reductions. In this paper, potential concepts of energy integration for offshore oil and gas assets are introduced, and some lessons learned and implications for reusing or repurposing late-life offshore assets for Vietnam are also presented.
{"title":"Energy integration: Green future for late-life offshore oil and gas assets","authors":"Thu Hương Nguyễn, Thi Thanh Binh Nguyen","doi":"10.47800/pvj.2021.10-06","DOIUrl":"https://doi.org/10.47800/pvj.2021.10-06","url":null,"abstract":"In recent years, the oil and gas industry has been facing objections from a public greatly concerned with the severe environmental impact caused by fossil fuels and their infrastructures, and strong demands from policy makers seeking to meet decarbonisation goals. Amidst a global energy transition, the future demand, finance, and social responsibilities of oil and gas companies are increasingly in question. One of the biggest problems of the industry is what are the “green” solutions for the late-life offshore oil and gas assets. Energy integration with reusing or repurposing oil and gas assets for new technologies could be a worthwhile investment strategy helping reduce carbon emission from oil and gas production as well as accelerating carbon capture and storage (CCS) and green hydrogen development to support the global decarbonisation. According to research, the late-life offshore oil and gas assets play an important role in energy integration while helping to have more opportunities to develop the new technologies that are in the early stages of development with high capex, necessary to make them more economically attractive and facilitate maximum energy integration. Reusing or repurposing oil and gas infrastructure can lead to 30% capex saving and million tons of CO2 pa emission reductions. \u0000In this paper, potential concepts of energy integration for offshore oil and gas assets are introduced, and some lessons learned and implications for reusing or repurposing late-life offshore assets for Vietnam are also presented.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116913485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ngọc Trung Trần, H. T. Triệu, Vũ Tùng Trần, Hữu Hải Ngô, Quang Khoa Đào
With the rise of industrial artificial intelligence (AI), smart sensing, and the Internet of Things (IoT), companies are learning how to use their data not only for analysing the past but also for predicting the future. Maintenance is a crucial area that can drive significant cost savings and production value around the world. Predictive maintenance (PdM) is a technique that collects, cleans, analyses, and utilises data from various manufacturing and sensing sources like machines usage, operating conditions, and equipment feedback. It applies advanced algorithms to the data, automatically compares the fed data and the information from previous cases to anticipate or predict equipment failure before it happens, thus helping optimise equipment utilisation and maintenance strategies, improve performance and productivity, and extend equipment life. Robust PdM tools enable organisations to leverage and maximise the value of their existing data to stay ahead of potential breakdowns or disruptions in services, and address them proactively instead of reacting to issues as they arise. Therefore, it has attracted more and more attention of specialists in recent years. This paper provides a comprehensive review of the recent advancements of machine learning (ML) techniques widely applied to PdM by classifying the research according to the ML algorithms, machinery and equipment used in data acquisition. Important contributions of the researchers are highlighted, leading to some guidelines and foundation for further studies. Currently, BIENDONG POC is running some pilot PdM projects for critical equipment in Hai Thach - Moc Tinh gas processing plant.
{"title":"An overview of the application of machine learning in predictive maintenance","authors":"Ngọc Trung Trần, H. T. Triệu, Vũ Tùng Trần, Hữu Hải Ngô, Quang Khoa Đào","doi":"10.47800/pvj.2021.10-05","DOIUrl":"https://doi.org/10.47800/pvj.2021.10-05","url":null,"abstract":"With the rise of industrial artificial intelligence (AI), smart sensing, and the Internet of Things (IoT), companies are learning how to use their data not only for analysing the past but also for predicting the future. Maintenance is a crucial area that can drive significant cost savings and production value around the world. \u0000Predictive maintenance (PdM) is a technique that collects, cleans, analyses, and utilises data from various manufacturing and sensing sources like machines usage, operating conditions, and equipment feedback. It applies advanced algorithms to the data, automatically compares the fed data and the information from previous cases to anticipate or predict equipment failure before it happens, thus helping optimise equipment utilisation and maintenance strategies, improve performance and productivity, and extend equipment life. Robust PdM tools enable organisations to leverage and maximise the value of their existing data to stay ahead of potential breakdowns or disruptions in services, and address them proactively instead of reacting to issues as they arise. Therefore, it has attracted more and more attention of specialists in recent years. \u0000This paper provides a comprehensive review of the recent advancements of machine learning (ML) techniques widely applied to PdM by classifying the research according to the ML algorithms, machinery and equipment used in data acquisition. Important contributions of the researchers are highlighted, leading to some guidelines and foundation for further studies. Currently, BIENDONG POC is running some pilot PdM projects for critical equipment in Hai Thach - Moc Tinh gas processing plant.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129560235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thế Hoàng Hà Phạm, Huy Hiên Đoàn, Q. Ta, Thị Lụa Mai, Hoang Anh Tu Nguyen
Velocity model is essential for seismic data processing as it plays an important role in migration processes as well as time depth conversion. There are several techniques to reach that goal, among which tomographic inversion is an efficient one. As an upgrade version of handpicked velocity analysis, the tomography technique is based on the reflection ray tracing and conjugate gradient method to estimate an optimum velocity model and can create an initial high quality model for other intensive imaging and modelling module such as reverse-time migration (RTM) and full-waveform inversion (FWI). For the mentioned benefit, we develop a seismic travel-time reflection tomography (SeisT) module to study the accuracy of the approach along with building the technical capability in seismic processing. The accuracy of the module has been tested by both synthetic and real seismic field data; the efficiency and the accuracy of the model have been proven in terms of development method as well as field data application.
{"title":"Some results of seismic travel-time reflection tomography study","authors":"Thế Hoàng Hà Phạm, Huy Hiên Đoàn, Q. Ta, Thị Lụa Mai, Hoang Anh Tu Nguyen","doi":"10.47800/pvj.2021.10-01","DOIUrl":"https://doi.org/10.47800/pvj.2021.10-01","url":null,"abstract":"Velocity model is essential for seismic data processing as it plays an important role in migration processes as well as time depth conversion. There are several techniques to reach that goal, among which tomographic inversion is an efficient one. As an upgrade version of handpicked velocity analysis, the tomography technique is based on the reflection ray tracing and conjugate gradient method to estimate an optimum velocity model and can create an initial high quality model for other intensive imaging and modelling module such as reverse-time migration (RTM) and full-waveform inversion (FWI). For the mentioned benefit, we develop a seismic travel-time reflection tomography (SeisT) module to study the accuracy of the approach along with building the technical capability in seismic processing. The accuracy of the module has been tested by both synthetic and real seismic field data; the efficiency and the accuracy of the model have been proven in terms of development method as well as field data application.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124993396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The most advanced technique to evaluate different solutions proposed for a field development plan consists of building a numerical model to simulate the production performance of each alternative. Fields covering hundreds of square kilometres frequently require a large number of wells. There are studies and software concerning optimal planning of vertical wells for the development of a field. However, only few studies cover planning of a large number of horizontal wells seeking full population on a regular pattern. One of the criteria for horizontal well planning is selecting the well positions that have the best reservoir properties and certain standoffs from oil/water contact. The wells are then ranked according to their performances. Other criteria include the geometry and spacing of the wells. Placing hundreds of well individually according to these criteria is highly time consuming and can become impossible under time restraints. A method for planning a large number of horizontal wells in a regular pattern in a simulation model significantly reduces the time required for a reservoir production forecast using simulation software. The proposed method is implemented by a computer script and takes into account not only the aforementioned criteria, but also new well requirements concerning existing wells, development area boundaries, and reservoir geological structure features. Some of the conclusions drawn from a study on this method are (1) the new method saves a significant amount of working hours and avoids human errors, especially when many development scenarios need to be considered; (2) a large reservoir with hundreds of wells may have infinite possible solutions, and this approach has the aim of giving the most significant one; and (3) a horizontal well planning module would be a useful tool for commercial simulation software to ease engineers' tasks.
{"title":"A practical method for planning large number of horizontal wells with a reservoir model for a field development plan","authors":"Guido Fava, Việt Anh Đinh","doi":"10.47800/pvj.2021.10-02","DOIUrl":"https://doi.org/10.47800/pvj.2021.10-02","url":null,"abstract":"The most advanced technique to evaluate different solutions proposed for a field development plan consists of building a numerical model to simulate the production performance of each alternative. Fields covering hundreds of square kilometres frequently require a large number of wells. There are studies and software concerning optimal planning of vertical wells for the development of a field. However, only few studies cover planning of a large number of horizontal wells seeking full population on a regular pattern. \u0000One of the criteria for horizontal well planning is selecting the well positions that have the best reservoir properties and certain standoffs from oil/water contact. The wells are then ranked according to their performances. Other criteria include the geometry and spacing of the wells. Placing hundreds of well individually according to these criteria is highly time consuming and can become impossible under time restraints. A method for planning a large number of horizontal wells in a regular pattern in a simulation model significantly reduces the time required for a reservoir production forecast using simulation software. The proposed method is implemented by a computer script and takes into account not only the aforementioned criteria, but also new well requirements concerning existing wells, development area boundaries, and reservoir geological structure features. \u0000Some of the conclusions drawn from a study on this method are (1) the new method saves a significant amount of working hours and avoids human errors, especially when many development scenarios need to be considered; (2) a large reservoir with hundreds of wells may have infinite possible solutions, and this approach has the aim of giving the most significant one; and (3) a horizontal well planning module would be a useful tool for commercial simulation software to ease engineers' tasks.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116877728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sand production is a key issue when selecting and applying completion solutions like open holes, screens or perforated liners. This problem can be seen in several types of reservoirs such as weakly consolidated and non-consolidated carbonates. The paper presents a method to model wellbore failures for sanding prediction. Our study shows that the potential sand risk in this field is defined by the rock strength rather than the in-situ stress. If the rock is sufficiently competent, the potential of sand production is negligible, and the development wells can be completed conventionally without any downhole sand control for the reservoir pressure above 1,280 psi and the maximum drawdown pressure of 2,380 psi.
{"title":"Geomechanical model and sanding onset assessment: A field case study in Vietnam","authors":"V. H. Nguyễn, T. Bui","doi":"10.47800/pvj.2021.10-04","DOIUrl":"https://doi.org/10.47800/pvj.2021.10-04","url":null,"abstract":"Sand production is a key issue when selecting and applying completion solutions like open holes, screens or perforated liners. This problem can be seen in several types of reservoirs such as weakly consolidated and non-consolidated carbonates. The paper presents a method to model wellbore failures for sanding prediction. Our study shows that the potential sand risk in this field is defined by the rock strength rather than the in-situ stress. If the rock is sufficiently competent, the potential of sand production is negligible, and the development wells can be completed conventionally without any downhole sand control for the reservoir pressure above 1,280 psi and the maximum drawdown pressure of 2,380 psi.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122719153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Van Hieu Nguyen, Hồng Minh Nguyễn, Ngọc Quốc Phan, H. G. Phạm
Core data by both routine and special core analysis are required to understand and predict reservoir petrophysical characteristics. In this research, a total number of 50 core plugs taken from an Oligocene sand (T30) in the Nam Con Son basin, offshore southern Vietnam, were tested in the core laboratory of the Vietnam Petroleum Institute (VPI). The results of routine core analysis (RCA) including porosity and permeability measurements were employed to divide the study reservoir into hydraulic flow units (HFUs) using the global hydraulic elements (GHEs) approach. Based on five classified HFUs, 16 samples were selected for special core analysis, i.e., mercury injection capillary pressure (MICP) and grain size analyses for establishing non-linear porosity-permeability model of each HFU based on Kozeny-Carman equation, which provides an improved prediction of permeability (R2 = 0.846) comparing to that by the empirical poro-perm relationship (R2 = 0.633). In addition, another permeability model, namely the Winland R35 method, was applied and gave very satisfactory results (R2 = 0.919). Finally, by integrating the results from MICP and grain size analyses, a good trendline of pore size distribution index (λ) and grain sorting was successfully obtained to help characterise the study reservoir. High λ came with poor sorting, and vice versa, the low λ corresponded to good sorting of grain size.
{"title":"Development of HFU-based permeability prediction models using core data for characterisation of a heterogeneous Oligocene sand in the Nam Con Son basin","authors":"Van Hieu Nguyen, Hồng Minh Nguyễn, Ngọc Quốc Phan, H. G. Phạm","doi":"10.47800/pvj.2021.10-03","DOIUrl":"https://doi.org/10.47800/pvj.2021.10-03","url":null,"abstract":"Core data by both routine and special core analysis are required to understand and predict reservoir petrophysical characteristics. In this research, a total number of 50 core plugs taken from an Oligocene sand (T30) in the Nam Con Son basin, offshore southern Vietnam, were tested in the core laboratory of the Vietnam Petroleum Institute (VPI). \u0000The results of routine core analysis (RCA) including porosity and permeability measurements were employed to divide the study reservoir into hydraulic flow units (HFUs) using the global hydraulic elements (GHEs) approach. Based on five classified HFUs, 16 samples were selected for special core analysis, i.e., mercury injection capillary pressure (MICP) and grain size analyses for establishing non-linear porosity-permeability model of each HFU based on Kozeny-Carman equation, which provides an improved prediction of permeability (R2 = 0.846) comparing to that by the empirical poro-perm relationship (R2 = 0.633). \u0000In addition, another permeability model, namely the Winland R35 method, was applied and gave very satisfactory results (R2 = 0.919). Finally, by integrating the results from MICP and grain size analyses, a good trendline of pore size distribution index (λ) and grain sorting was successfully obtained to help characterise the study reservoir. High λ came with poor sorting, and vice versa, the low λ corresponded to good sorting of grain size.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130427012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. T. Vo, Vinh Loc Tran, Duong Hai Le, Minh Hieu Nguyen, Van-Nhan Truong, Thị Châu Giang Nguyễn, Anh Tuan Nguyen, M. Huỳnh
This paper analyses the possibility for H2SO4 production using sulfur/sulfur-containing feedstocks from Dung Quat Refinery in terms of market, technology and economic efficiency. Domestic production of H2SO4 currently does not meet the domestic demand, the shortfall must therefore be compensated by imports. It is forecast that the domestic market will lack about 464 thousand tons of H2SO4 by 2025. The H2SO4 production project with a capacity of 200 thousand tons per year is proposed to go into operation in 2025. In the case of indirect production of H2SO4 from H2S rich gas through the intermediate sulfur product, the project has an estimated total investment cost of USD 143.2 million, its IRR will be around 3.2%, its NPV@13.2% will be USD 55.1 million and the total payback period will be 14 years and 4 months. In case of using H2S rich gas directly as feedstock, the project has an estimated total investment cost of USD 102.4 million, its IRR will be around 16.3%, its NPV@13.2% will be USD 15.7 million and the total payback period will be 5 years and 5 months.
{"title":"Research on possible sulfuric acid (H2SO4) production using sulfur/sulfur-containing feedstocks from Dung Quat refinery","authors":"T. T. Vo, Vinh Loc Tran, Duong Hai Le, Minh Hieu Nguyen, Van-Nhan Truong, Thị Châu Giang Nguyễn, Anh Tuan Nguyen, M. Huỳnh","doi":"10.47800/pvj.2021.11-05","DOIUrl":"https://doi.org/10.47800/pvj.2021.11-05","url":null,"abstract":"This paper analyses the possibility for H2SO4 production using sulfur/sulfur-containing feedstocks from Dung Quat Refinery in terms of market, technology and economic efficiency. Domestic production of H2SO4 currently does not meet the domestic demand, the shortfall must therefore be compensated by imports. It is forecast that the domestic market will lack about 464 thousand tons of H2SO4 by 2025. The H2SO4 production project with a capacity of 200 thousand tons per year is proposed to go into operation in 2025. In the case of indirect production of H2SO4 from H2S rich gas through the intermediate sulfur product, the project has an estimated total investment cost of USD 143.2 million, its IRR will be around 3.2%, its NPV@13.2% will be USD 55.1 million and the total payback period will be 14 years and 4 months. In case of using H2S rich gas directly as feedstock, the project has an estimated total investment cost of USD 102.4 million, its IRR will be around 16.3%, its NPV@13.2% will be USD 15.7 million and the total payback period will be 5 years and 5 months.","PeriodicalId":294988,"journal":{"name":"Petrovietnam Journal","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114424677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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