ExxonMobil expects a new $1 billion fuel upgrading unit at its Antwerp refinery to be fully operational in the first half of next year, the company said on 28 November. Thai Oil's Refinery To Produce Only Clean Fuels From 2022 Thailand’s largest refiner, Thai Oil, will stop producing fuel oil from 2022 once it completes a $4-billion upgrade that will boost output of clean fuels, officials said.
More than two dozen storage tanks holding crude oil, gasoline, and other contaminants ruptured or otherwise failed when Harvey slammed into the Texas coast, spilling at least 145,000 gal of fuel and spewing toxic pollutants into the air, according to an AP analysis of pollution reports. Measuring product in oilfield storage tanks can pose significant risks to workers if proper precautions are not taken. This video discusses the risks and ways they can be reduced to protect workers. Italian oil major Eni said on 18 April it had decided to temporarily shut down a treatment plant serving its biggest domestic oil field in southern Italy to meet a local order.
The goal of this paper was to examine refinery workers’ personal exposure to benzene and 1,3-butadiene and increase awareness of exposure conditions by collaboration with involved refineries. Exposure to airborne agents needs to be assessed in the personal breathing zone by the use of personal measurement equipment. Specific measurement devices for assessing personal exposure to airborne nanomaterials have only become available in the recent years.
While drug use is a problem among industrial workers nationwide, it raises particular concern in the oil patch as US production surges to record levels in what is already one of the nation’s most dangerous sectors. Inhalation of crystalline silica dust is second only to asbestos as a hazard to construction workers. This video discusses important things to know. Evaluation of Occupational Ocular Trauma: Are We Doing Enough To Promote Eye Safety in the Workplace? The use of eye PPE among workers who sustain an eye injury in the workplace remains low.
Volatile organic compounds (VOCs) present in crude oil can be released to the atmosphere from storage tanks, waste waters, and equipment leaks. A pilot-scale sequential biotrickling/biofiltration unit was designed and tested for removal of VOCs from a wastewater sump. The US EPA’s 2016 New Source Performance Standards updated the 2012 standards by adding requirements for the industry to reduce greenhouse gas emissions, specifically methane. The 2016 NSPS also covers hydraulically fractured oil wells and production, processing, transmission and storage activities.
A new method has been developed to differentiate and quantify the amount of primary amines through a simple chemical process. Colored cyclic adduct compounds are formed by reaction of selective chemicals with primary amine. This adduct formation is preferential to the primary amine, even in the presence of a mixture of secondary and tertiary amines. The adduct shows selective enhanced fluorescence emission at 475-nm wavelength under specific excitation with 420 nm. Due to enhanced fluorescence activity, quantification becomes possible, even below a 1-ppm concentration of specific primary amine. A chemical matrix, formulated with the mixture of different concentrations of primary, secondary and tertiary amines, helps to differentiate and quantify primary amines present in the mixture, even at lower concentrations. This method is validated under synthetic field brine conditions to detect and quantify primary amines towards field applications.
Sengupta, Partha (Oil and Natural Gas Corporation Limited) | Deshpande, Sunil (Oil and Natural Gas Corporation Limited) | G., Sharmila (Oil and Natural Gas Corporation Limited) | Das, Barnali (Oil and Natural Gas Corporation Limited) | Pawar, Anil (Oil and Natural Gas Corporation Limited)
LPG production from a gas processing plant was experiencing gradually decreasing LPG production in spite of having feed gas rich in heavier hydrocarbons. The process involves dehydration of feed gas, cooling the gas in a propane based chiller to condense heavier hydrocarbons, processing the liquid in a De-ethanizer column to separate C3 components and further separate the C3/C4 (LPG) and C5 components in a Debutanizer column. To understand the above phenomenon, a steady state model of the plant was developed using licensed commercial process simulation software. The crucial process parameters required for efficient recovery of LPG are then identified and their optimum values established through simulations. Further experiments were carried out during plant operation to identify the bottlenecks in maintaining the parameters at optimum levels. From simulations it was observed that De-ethanizer pressure, De-butanizer reflux condenser outlet temperature and De-butanizer reboiler temperature have the major effect on LPG components loss. From real time monitoring of operations, it was observed that there was difficulty in maintaining De-ethanizer pressure and De-butanizer temperature profiles at the optimum levels. It was concluded that an ineffective air cooled condenser, a passing manual valve and an improperly tuned temperature controller were the root causes behind sub-optimal operation. Accordingly, recommendations were made for rectifying the problems and the same have been accepted by the plant engineers for implementation which will result in LPG production gain by 20 %.
Tian, Kun (CNPC Research Institute of Safety &Environment Technology) | Yan, Hong-Qiao (CNPC Research Institute of Safety &Environment Technology) | Mao, Ya-Ming (CNPC Research Institute of Safety &Environment Technology) | Wu, Shun-Cheng (CNPC Research Institute of Safety &Environment Technology)
As the adoption of the high-speed development of the information technology and continuous improvement of industrial technology, huge amount of statistical data and statistical documents are accumulated in environment-safe and environment-friendly field. The big data technology drives the attention points in the safety science field turn to the data and the exploration of the security management mode established on analysis of the data. When the big data oriented thinking and mode are used, the safety management knowledge underlines the hidden danger data in production safety is disclosed, and precision application of the safety management will be promoted.
The hidden danger data of safe production is stored in text form, and data mining and machine learning model can’t deal with these non-structured (or half-structured) information directly, so it is necessary to deal with the text data through Natural language processing (NLP), and then use the data mining method to excavate the rules information. First of all, the words in the text are recombined through technologies such as Chinese word segmentation, part-of-speech labeling, named entity recognition and the like, the word of the combined vocabulary is marked, and the named entity is further identified. Secondly, the structured problem disclosing database is constructed through three steps including keyword mapping and extraction, data cleaning and integration, data selection and transformation. What’s more, by using data mining technology such as data stream sliding window model, association analysis and change mining algorithm, this paper constructs the related hidden danger analysis method. By means of mining association rules of the current hidden danger data, releasing the related type, the existence possibility and the change pattern of hidden danger and so on. Finally, the information is visualized and analyzed.
In this paper, the data mining of 10,387 safety hidden danger samples of a refinery enterprise in 2012-2017, obtained 1091 association rules, constructed 5 kinds of associated hidden danger transformation mode: the emerging mode, attenuation mode, relation change mode, result transformation mode, new adding mode. These modes are summed up the following conclusions: (1) in view of the safety hidden danger data of petroleum and petrochemical industry, this paper analyzes the language characteristics of the domain corpus, and first forms a professional dictionary with industry characteristics; (2) using Eclat association analysis algorithm to excavate the association rules between hidden danger data, and classify the rules, which mainly focus on the pipeline, valve, safety valve and other parts; (3) after analysis of the hidden danger, the leakage of the bearing box, blind plate missing, the length of the coupling shield is too short, the discharge port setting height does not meet the requirements, the automatic valve failure, the export pressure gauge real fluctuation are six problems for the second half of 2017 new problems.
By excavating the potential value of the hidden danger data, the hidden danger checking work is further optimized and improved, and the enterprise is guided to carry out targeted hidden danger checking, the centralized optimization of services is realized, the accurate application of safety management is promoted, and the safety and environmental protection management and risk control level are improved.
The objective of the paper is determining the effects of reducing the sulfur content in diesel on its properties, specifically lubricity and electrical conductivity, and the optimal injection rates of lubricity and anti-static chemicals when producing maximum 10 ppm sulfur diesel product from 50/50 Arab Light and Khurais Crude Feed. The optimal injection rates should ensure that the 10 ppm sulfur diesel product will achieve the required product specifications in terms of lubricity and electrical conductivity while maintaining an economically sustainable consumption of the injected chemicals. The test run commenced with collecting a 10 ppm diesel reference sample from the refinery diesel rundown before injecting the chemicals. Then, the chemical injection of both lubricity and antistatic improvers was commenced. The injection rates of the lubricity and antistatic improvers were adjusted via the pump stroke once per day. After that, two samples of the diesel product rundown stream had been collected. The daily samples were analyzed for their lubricity and electrical conductivity by performing the test procedures ASTM-6079 and ASTM D-2624 respectively. the test results for the lubricity test run indicates that the ideal injection rate for the lubricity improver chemical is at 70.0 ppm where the lubricity specification of Max. 460 μm is met with optimal consumption of the chemical. On the other hand, electrical conductivity results were always significantly above the 10 ppm sulfur diesel product minimum specification of 50 μS/m regardless of the conductivity improver chemical injection rate. At the lowest turndown of the pump of 0.49 ppm injection rate, the lab results fluctuated between 280 μS/m and 780 μS/m. Although the product conductivity specification had been met in the test trial, the conductivity improver chemical was stronger than required. Therefore, another alternative chemical that is compatible with the equipment of the injection system may be considered.
OIL & GAS TODAY is a quarterly publication focusing on the latest news and events in the Oil & Gas and Petrochemical industry in Thailand and the ASEAN region. Targeted to provide detailed information to the readers who are made up of senior decision makers from the industry such as CEOs, Technical directors, Engineers, Purchasers, and Maintenance personnel, this magazine would serve as an informative read for professionals in the industry.