A Holistic Approach for Mitigation of H2S from Crude Oil and Gas in an Offshore/Remote Environment

2019 ◽  
Author(s):  
M K Gupta ◽  
J N Sukanandan ◽  
V K Singh ◽  
A S Pawar ◽  
BUDHIN Deuri
Keyword(s):  
Crude Oil ◽  
Oil And Gas ◽  
Holistic Approach ◽  
Remote Environment

A Holistic Approach to Achieve Excellence in Pipeline Security Using "SOLIDS"

2021 ◽  
Author(s):  
M. Rais
Keyword(s):  
Crude Oil ◽  
Asset Management ◽  
Management System ◽  
Oil And Gas ◽  
Detection System ◽  
Holistic Approach ◽  
Integrated System ◽  
Operational Conditions ◽  
Oil Pipeline ◽  
Detection Technology

Indonesian oil and gas transporter, PT Pertamina Gas (Pertagas), has a special task to operate the Tempino to Plaju Crude Oil Pipeline (TPCOP) to deliver 15,000 barrel-oil per day (BOPD) crude oil. Pertagas faced a big challenge and concern in the operation due to the frequent illegal tapping activities and risk of pipeline product theft. In 2012, 748 illegal taps cases or equal to a daily average of 2 cases were reported. The loss from crude oil transportation was approximately 40% per day and loss revenue was more than $20 million a year. Moreover, illegal tapping by cutting into pipelines can cause pipeline ruptures and explosions, leading to human casualties, destruction of property, and damage to the environment. Pertagas reported that illegal taps have increased to 400% from year 2010 to the year 2013. Efforts were taken to minimize the illegal tapping frequency by developing an integrated system that includes supervision and security of assets along the pipeline called “Security and Oil Losses Management with Integrated Detection System (SOLIDS)”. This system consists of Asset Management System (AMS), Liquid Management System (LMS), Leak Detection System (LDS), security patrol, Emergency Response Team (ERT), and is supported by Corporate Social Responsibility (CSR) programs. The implementation of SOLIDS proved to be an effective oil loss detection technology and pipeline security control that detects product thefts quickly and locates illegal tapping points accurately, so protective measures could be applied immediately. The implementation showed a good result. Pertagas has been succeeded in reducing losses from illegal taps from 748 cases in 2012 to zero cases in 2018. Consistent implementation of this system will provide a solution in reducing losses and illegal tapping under all operational conditions.

Local Buckling in end Expansion of Subsea Pipelines

2014 ◽  
Vol 69 (7) ◽  
Author(s):  
Jaswar Koto ◽  
Abd. Khair Junaidi ◽  
M. H. Hashim
Keyword(s):  
Crude Oil ◽  
Axial Force ◽  
Oil And Gas ◽  
Local Buckling ◽  
Offshore Platform ◽  
Offshore Pipeline ◽  
Specific Rule ◽  
Subsea Pipelines ◽  
Study Development

Offshore pipeline is mainly to transport crude oil and gas from offshore to onshore. It is also used to transport crude oil and gas from well to offshore platform and from platform to another platform. The crude oil and gas horizontally flows on the seabed, and then vertically flows inside the riser to the offshore platform. One of current issues of the oil and gas transportation system is an end expansion caused by the axial force. If the end expansion occurs over it limit can cause overstress to riser. This paper explores the effect of axial force toward local buckling in end expansion. In the study, development of programming in visual basic 2010 firstly was constructed using empirical equation. The programming code, then, was validated by comparing simulation result with actual data from company. As case study, the end expansion for various thicknesses of pipes was simulated. In this programming, DNV regulation is included for checking either design complied or not with regulation. However, DNV regulation doesn’t have specific rule regarding the end expansion but it is evaluated under load displacement control under strain condition.

scholarly journals Analisis Jaringan Syaraf Tiruan untuk prediksi volume ekspor dan impor migas di Indonesia

2018 ◽  
Vol 4 (1) ◽  
pp. 30
Author(s):  
Yuli Andriani ◽  
Hotmalina Silitonga ◽  
Anjar Wanto
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Crude Oil ◽  
Oil And Gas ◽  
Oil Products ◽  
Oil Exports ◽  
Directorate General ◽  
Architectural Models ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Analisis pada penelitian penting dilakukan untuk tujuan mengetahui ketepatan dan keakuratan dari penelitian itu sendiri. Begitu juga dalam prediksi volume ekspor dan impor migas di Indonesia. Dilakukannya penelitian ini untuk mengetahui seberapa besar perkembangan ekspor dan impor Indonesia di bidang migas di masa yang akan datang. Penelitian ini menggunakan Jaringan Syaraf Tiruan (JST) atau Artificial Neural Network (ANN) dengan algoritma Backpropagation. Data penelitian ini bersumber dari dokumen kepabeanan Ditjen Bea dan Cukai yaitu Pemberitahuan Ekspor Barang (PEB) dan Pemberitahuan Impor Barang (PIB). Berdasarkan data ini, variabel yang digunakan ada 7, antara lain: Tahun, ekspor minyak mentah, impor minyak mentah, ekspor hasil minyak, impor hasil minyak, ekspor gas dan impor gas. Ada 5 model arsitektur yang digunakan pada penelitian ini, 12-5-1, 12-7-1, 12-8-1, 12-10-1 dan 12-14-1. Dari ke 5 model yang digunakan, yang terbaik adalah 12-5-1 dengan menghasilkan tingkat akurasi 83%, MSE 0,0281641257 dengan tingkat error yang digunakan 0,001-0,05. Sehingga model ini bagus untuk memprediksi volume ekspor dan impor migas di Indonesia, karena akurasianya antara 80% hingga 90%.   Analysis of the research is Imporant used to know precision and accuracy of the research itself. It is also in the prediction of Volume Exports and Impors of Oil and Gas in Indonesia. This research is conducted to find out how much the development of Indonesia's exports and Impors in the field of oil and gas in the future. This research used Artificial Neural Network with Backpropagation algorithm. The data of this research have as a source from custom documents of the Directorate General of Customs and Excise (Declaration Form/PEB and Impor Export Declaration/PIB). Based on this data, there are 7 variables used, among others: Year, Crude oil exports, Crude oil Impors, Exports of oil products, Impored oil products, Gas exports and Gas Impors. There are 5 architectural models used in this study, 12-5-1, 12-7-1, 12-8-1, 12-10-1 and 12-14-1. Of the 5 models has used, the best models is 12-5-1 with an accuracy 83%, MSE 0.0281641257 with error rate 0.001-0.05. So this model is good to predict the Volume of Exports and Impors of Oil and Gas in Indonesia, because its accuracy between 80% to 90%.

Enhanced Method of Estimating Crude Oil Losses in a Unitized Pipeline Supply and Trunk Facilities

2021 ◽  
Author(s):  
Charles Enweugwu ◽  
Aghogho Monorien ◽  
Ikechukwu Mbeledogu ◽  
Adewale Dosunmu ◽  
Omowunmi Illedare
Keyword(s):  
Artificial Intelligence ◽  
Crude Oil ◽  
Measurement Errors ◽  
Oil And Gas ◽  
Equitable Distribution ◽  
Trunk Line ◽  
Wide Range ◽  
Marginal Field ◽  
Oil And Gas Companies ◽  
Two Alternatives

Abstract Most unitized Pipelines in Nigeria are Trunk lines which take crude oil from flow stations to the Terminals. Very few International Oil and Gas Companies own and operate trunk lines in Nigeria. As a result, marginal field owners, independent producers, and some JV partners share the trunk line for the sale of their crude. But because of the use of wide range of non-compliant meters by the injectors into the trunk lines a lot of line losses due to measurement errors are introduced. Another major feature is that trunk lines are exposed to leakages due to sabotage, aged pipeline and valve failures. The issue here is how does the owner of the trunk line back allocate these losses to their respective injectors. The Reverse Mass Balanced Methodology (RMBM) is currently in use having replaced Interim Methodology (IM) in 2017. In RMBM, the crude trunk line losses have been found to be unaccountable and it's proportionate rule for distribution of the losses to the producers are inequitable as the field owners expressed dissatisfaction with unfair deduction from trunk line operators. This study developed a procedure and an algorithm for estimation of crude contributions from each producer at the Terminal and equitable distribution of crude trunk line losses to the producers irrespective of the type of meters, meter factor and leakages and sporadic theft on the trunk lines. This study also identified two alternatives to the RMBM, the use of Artificial Intelligence (AI) and Flow based models. The results showed that flow-based model accounts for both individual and group losses, not accounted for in the RMBM, and allocates and corrects for leak volumes at the point of leak instead of at the terminal. This is a significant improvement from the RMBM.

When Metals and Microbes Meet: Preventing Microbial Corrosion in Crude Oil Transmission Pipelines

2020 ◽  
Author(s):  
Lisa M. Gieg ◽  
Mohita Sharma ◽  
Trevor Place ◽  
Jennifer Sargent ◽  
Yin Shen
Keyword(s):  
Crude Oil ◽  
Oil And Gas ◽  
Combined Treatment ◽  
Oil And Gas Industry ◽  
Test Methods ◽  
Microbial Corrosion ◽  
Gas Industry ◽  
Chemical Treatments ◽  
Transmission Pipeline ◽  
Transmission Pipelines

Abstract Corrosion of carbon steel infrastructure in the oil and gas industry can occur via a variety of chemical, physical, and/or microbiological mechanisms. Although microbial corrosion is known to lead to infrastructure failure in many upstream and downstream operations, predicting when and how microorganisms attack metal surfaces remains a challenge. In crude oil transmission pipelines, a kind of aggressive corrosion known as under deposit corrosion (UDC) can occur, wherein mixtures of solids (sands, clays, inorganic minerals), water, oily hydrocarbons, and microorganisms form discreet, (bio)corrosive sludges on the metal surface. To prevent UDC, operators will use physical cleaning methods (e.g., pigging) combined with chemical treatments such as biocides, corrosion inhibitors, and/or biodispersants. As such, it necessary to evaluate the efficacy of these treatments in preventing UDC by monitoring the sludge characteristics and the microorganisms that are potentially involved in the corrosion process. The efficacies of a biocide, corrosion inhibitor, and biodispersant being used to prevent microbial corrosion in a crude oil transmission pipeline were evaluated. A combination of various microbiological analyses and corrosivity tests were performed using sludge samples collected during pigging operations. The results indicated that the combined treatment using inhibitor, biocide 1 and biodispersant was the most effective in preventing metal damage, and both growth-based and Next-Generation Sequencing approaches provided value towards understanding the effects of the chemical treatments. The efficacy of a different biocide (#2) could be discriminated using these test methods. The results of this study demonstrate the importance of considering and monitoring for microbial corrosion of crucial metal infrastructure in the oil and gas industry, and the value of combining multiple lines of evidence to evaluate the performance of different chemical treatment scenarios.

scholarly journals An Improved CO2-Crude Oil Minimum Miscibility Pressure Correlation

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Hao Zhang ◽  
Dali Hou ◽  
Kai Li
Keyword(s):  
Experimental Data ◽  
Crude Oil ◽  
Relative Error ◽  
Oil And Gas ◽  
Empirical Correlation ◽  
Volatile Components ◽  
Absolute Relative Error ◽  
Minimum Miscibility Pressure ◽  
New Correlation ◽  
Average Absolute Relative Error

Minimum miscibility pressure (MMP), which plays an important role in miscible flooding, is a key parameter in determining whether crude oil and gas are completely miscible. On the basis of 210 groups of CO2-crude oil system minimum miscibility pressure data, an improved CO2-crude oil system minimum miscibility pressure correlation was built by modified conjugate gradient method and global optimizing method. The new correlation is a uniform empirical correlation to calculate the MMP for both thin oil and heavy oil and is expressed as a function of reservoir temperature, C7+molecular weight of crude oil, and mole fractions of volatile components (CH4and N2) and intermediate components (CO2, H2S, and C2~C6) of crude oil. Compared to the eleven most popular and relatively high-accuracy CO2-oil system MMP correlations in the previous literature by other nine groups of CO2-oil MMP experimental data, which have not been used to develop the new correlation, it is found that the new empirical correlation provides the best reproduction of the nine groups of CO2-oil MMP experimental data with a percentage average absolute relative error (%AARE) of 8% and a percentage maximum absolute relative error (%MARE) of 21%, respectively.

Efficient Smoke Suppressant Reduces the Particulate Matter Emissions of Crude Oil Fired Gas Turbines

2019 ◽  
Author(s):  
Matthieu Vierling ◽  
Michel Moliere ◽  
Paul Glaser ◽  
Richard Denolle ◽  
Sathya Nayani ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Natural Gas ◽  
Crude Oil ◽  
Gas Turbines ◽  
Oil And Gas ◽  
Liquid Fuels ◽  
Gas Field ◽  
Associated Gas ◽  
Score Card ◽  
Particulate Matter Emissions

Abstract Gas turbines are often the master pieces of the utilities that power Oil and Gas (O&G) installations as they most often operate in off-grid mode and must reliably deliver the electric power and the steam streams required by all the Exploration/Production (EP) or refining processes. In addition to reliability, fuel flexibility is an important score card of gas turbines since they must permanently accommodate the type of fuel which is available on the particular O&G site. For instance, during the operation of an associated gas field, crude oil comes out from the well heads as the gas reserves are declining or depleted. The utility gas turbine must then be capable to successively burn natural gas and crude oil and often to co-fire both fuels. An important feature of crude oils is that their combustion tends to emit significantly more particulate matter (PM) than do distillate oil and natural gas as they contain some heavier hydrocarbon ends. Taking account of the fact that some alternative liquid fuels emit more particulates matter (PM) than distillate oils, GE has investigated a class of soot suppressant additives that have been previously tested on light distillate oil (No 2 DO). As a continuation of this development, these products have been field-tested at an important refining site where several Frame 6B gas turbines have been converted from natural gas to crude oil with some units running in cofiring mode. This field test showed that proper injections of these fuel additives, at quite moderate concentration levels, enable a substantial abatement of the PM emissions and reduction of flue gas opacity. This paper outlines the main outcomes of this field campaign and consolidates the overall results obtained with this smoke suppression technology.

scholarly journals Drag Reducer Selection for Oil Pipeline Based Laboratory Experiment

2017 ◽  
Vol 12 (1) ◽  
pp. 112 ◽  
Author(s):  
Leksono Mucharam ◽  
Silvya Rahmawati ◽  
Rizki Ramadhani
Keyword(s):  
Crude Oil ◽  
Large Scale ◽  
Oil And Gas ◽  
Energy Requirement ◽  
Pipeline System ◽  
Chemical Application ◽  
Oil Pipeline ◽  
Pipeline Flow ◽  
Oil Transportation ◽  
Pump Stations

Oil and gas industry is one of the most capital-intensive industry in the world. Each step of oil and gas processing starting from exploration, exploitation, up to abandonment of the field, consumes large amount of capital. Optimization in each step of process is essential to reduce expenditure. In this paper, optimization of fluid flow in pipeline during oil transportation will be observed and studied in order to increase pipeline flow performance.This paper concentrates on chemical application into pipeline therefore the chemical can increase overall pipeline throughput or decrease energy requirement for oil transportation. These chemicals are called drag reducing agent, which consist of various chemicals such as surfactants, polymers, nanofluids, fibers, etc. During the application of chemical into pipeline flow system, these chemicals are already proven to decrease pump work for constant flow rate or allow pipeline to transport more oil for same amount of pump work. The first application of drag reducer in large scale oil transportation was in Trans Alaskan Pipeline System which cancel the need to build several pump stations because of the successful application. Since then, more company worldwide started to apply drag reducer to their pipeline system.Several tedious testings on laboratory should be done to examine the effect of drag reducer to crude oil that will be the subject of application. In this paper, one of the testing method is studied and experimented to select the most effective DRA from several proposed additives. For given pipeline system and crude oil type, the most optimum DRA is DRA A for pipeline section S-R and for section R-P is DRA B. Different type of oil and pipeline geometry will require different chemical drag reducer. 

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