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Artykuły w czasopismach na temat "OLGA Simulator"
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Pramana, Astra Agus, and Yusuf Revy Fadillah. "ANALYSIS OF CORROSION IN PRODUCTION TUBING USING OLGA SIMULATOR." PETRO:Jurnal Ilmiah Teknik Perminyakan 11, no. 2 (2022): 47–51. http://dx.doi.org/10.25105/petro.v11i2.13719.
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Corrosion is a problem that occurs in the production system of industrial oil and gas. Control corrosion in tubing production is necessary for maintaining production and well direct as tubing production is the first contact with corrosion fluid and material agent. Corrosion is caused by a chemical reaction between a material and corrosion fluid. A corrosion rate prediction model can be used to predict its rate such as NORSOK and de Waard models. Both methods are used in Olga Simulator software by Schlumberger company that will be used in this paper. Some of the parameters and scenarios that influence corrosion are tested. Evaluation of reservoir pressure 40 bar, 45 bar, 50 bar, temperature 100℃, 125℃, 150℃, mono-ethylene glycol 0%, 20%, and 80% with 66,7%IE and 79,7%IE were used as corrosion inhibitors for looking at the best scenario.
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Shaharun, Azwan. "Integrated modelling of entire production network and topsides facilities for production optimisation of major oil and gas fields." APPEA Journal 53, no. 2 (2013): 474. http://dx.doi.org/10.1071/aj12085.
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An oil company sought to identify bottlenecks in three of their main oil and gas production networks. It was desired to, therefore, develop the entire production network from wells, flowlines, intra-field and inter-field pipelines, and export pipelines up to the onshore terminal first stage separator/slug catcher, all in the transient multi-phase-flow oil and gas (OLGA) simulator. Furthermore, the detailed topsides facilities were separately modelled in a process simulator. The OLGA and process simulator models were subsequently integrated, where the flow simulator model received boundary pressures from the topsides model and pushed through the mass flows of the individual phases into the process simulator. After field-matching and tuning the integrated models to the given field data, optimising the overall fields’ production and performance was carried out, powered by a market-leading optimisation engine. The main optimisation parameters were: wellhead choke openings; gas lift rates and allocations; and topsides operating conditions, facility constraints and control tuning parameters. The network models were used to investigate the dynamic behaviour of wells and pipelines as well as surface process facilities equipment and control systems, with the aim to improve productivity of the entire field networks. The development of the integrated and dynamic well, pipeline and process models is part of company initiatives to facilitate the design and operational support tools for the company’s engineers.
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Sultan, Omar, Wiam Kharouba, and Hasan Eshreaf. "Simulation of the Dispersion of Carbon Dioxide During Accidental Releases from Gas Processing Facilities." مجلة الجامعة الأسمرية: العلوم التطبيقية 6, no. 5 (2021): 764–71. http://dx.doi.org/10.59743/aujas.v6i5.1332.
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Carbon capture and storage (CCS) from oil facilities is an important and effective way to reduce the concentration of carbon dioxide in the atmosphere. Consequently, gas-processing facilities will be dealing with a tremendous quantity of CO2 with high pressure. Therefore, the aim of this study is to simulate the dispersal of CO2 gas leakage from high-pressure pipelines of the gas-processing facilities. The modeling of CO2 leakage from pipelines at CCS process has been problematic because of the lack of appropriate source term models that handle the complex behavior of CO2 correctly during release. In this study, OLGA 7 simulator was utilized for predicting outflow rates and duration of ruptured CO2 pipelines at different leakage scenarios (leakage sizes). OLGA 7 simulator was selected due to its capabilities in simulating gas pipeline leak scenarios in various designs and operating conditions such as Operation Pressure, Isolation valve spacing (IVS), and Emergency response time (ERT). The results of the OLGA 7 simulator provide appropriate source conditions for the selected dispersion models. Gaussian atmospheric dispersion model was chosen to simulate the CO2 gas dispersion behavior within the platform; it is very effective and simple. The effect of operating and design parameters (Operation Pressure, Isolation valve spacing (IVS), and Emergency response time (ERT) on the dispersion behaviors of the released gas in different leak scenarios was studied. The results showed that the emergency response time has the greatest effect on the mass of the accumulated leak (kg) and thus on the level of gas concentrations, and this effect is more pronounced for large leakage sizes. Also, the results showed that the emergency response time had no effect on levels of distance gas concentrations, but it had a significant effect on the duration of the leaking.
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Tang, Hewei, William J. Bailey, Terry Stone, and John Killough. "A Unified Gas/Liquid Drift-Flux Model for All Wellbore Inclinations." SPE Journal 24, no. 06 (2019): 2911–28. http://dx.doi.org/10.2118/197068-pa.
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Summary Implementation of a drift–flux (DF) multiphase–flow model within a fully coupled wellbore/reservoir simulator is nontrivial because it must adhere to a number of strict requirements to ensure numerical robustness and convergence. The existing DF model that meets these requirements is only fully posed from 2° (from the horizontal) to upward vertical. Our work attempts to extend the current DF model such that it is numerically robust, accurate, and applicable to all well inclinations. To gauge accuracy, model parameterization used 5,805 experimental data points from a well–established data set, along with a second data set comprising 13,440 data points extracted from the OLGA–S library (Schlumberger 2017b). Forecast accuracy of the proposed model is compared with that of two state–of–the–art DF models (applicable to all inclinations but unsuited for coupled simulation), and it exhibits equivalent or better performance. More significantly, the model is shown to be numerically smooth, continuous, and stable for cocurrent flow when implemented in a fully implicit and coupled wellbore/reservoir simulator.
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Yerlepessov, Murat U., Oleg I. Zaitsev, Abay A. Yermekov, Sain K. Amirov, and Zhuginis S. Urbisinov. "Testing the functionality of OLGA software for determining optimal oil transport modes to prevent solid particle deposition." Kazakhstan journal for oil & gas industry 6, no. 3 (2024): 82–93. http://dx.doi.org/10.54859/kjogi108728.
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Background: During operation, all mechanical impurities entering the collector through the flow lines settle at the bottom due to a decrease in flow velocity. This leads to a reduction in the capacity of the pipeline network, increased pressure, and premature equipment wear. To address this issue it is essential to understand the dynamics and intensity of sludge formation at the bottom of the pipeline. Aim: Evaluate the functionality and efficiency of the dynamic multiphase flow simulator in addressing challenges related to the transport of borehole fluid containing solid particles. Materials and methods: To build a mathematical simulation of multiphase flow with solid particles using OLGA specialised software, we selected one of the oil gathering lines in field N, with a diameter of 159х10 mm and a length of 1600 m, as the study object. This oil gathering line collects production from 16 wells. The OLGA simulator was used to model the process and measure flow parameters with different particle diameters, predicting the dynamics of variables such as time-varying flow velocities, fluid composition, temperatures, and particulate deposition. For a flow with a particle diameter of 104 µm, active precipitation occurs at flow rates between 200 and 300 m³/day. At flow rates of 400 m³/day and above, the velocity is sufficient to carry the particles without significant accumulation in the pipeline. Results: The software enabled the calculation of the dynamic system for different solid particle diameters in multiphase flow, addressing the challenge of evaluating the dynamics of solid phase accumulation in the pipeline and determining the fluid flow velocity required to prevent sludge formation. The software is suitable for implementing simulation modelling to develop technical solutions that minimise the risks of solid particle deposition in oil gathering pipelines during the operation of on-shore infrastructure facilities. Conclusion: The software enabled the calculation of the dynamic system for different solid particle diameters in multiphase flow, addressing the challenge of evaluating the dynamics of solid phase accumulation in the pipeline and determining the fluid flow velocity required to prevent sludge formation. The software is suitable for implementing simulation modelling to develop technical solutions that minimise the risks of solid particle deposition in oil gathering pipelines during the operation of on-shore infrastructure facilities.
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Oriji, Boniface A., and Raphael Odikpo Okeke. "Optimal Simulation and Mathematical Correlation of Mud Weight for Effective Wellbore Stability Management." European Journal of Engineering Research and Science 5, no. 1 (2020): 96–99. http://dx.doi.org/10.24018/ejers.2020.5.1.1688.
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Wellbore instability is a problem that affects drilling activities. It is therefore important to provide an optimal solution that prevents or reduces the occurrence of wellbore collapse and not compromise the integrity of the well. In this study, work was done to assess the impact of several parameters including tubing pressure, tubing fluid temperature, length of tubing, gas density, liquid density, tubing hold-up and total mass flow on mass fraction of tubing muds were considered. Data points for this investigation were obtained using OLGA multiphase simulator. The results of the simulation (including the trend and plot data) were exported to MATLAB to develop a mud weight model (correlation) using the MATLAB regress function. The correlation was also validated using statistical techniques such as the R square and Significance F values. Comparison of the trend plots of the actual data points from OLGA and the predicted data points was also done to further prove the reliability of the correlation. The correlation predictions agreed with the OLGA results excellently with a relative error of less than 0.001 %. This study revealed that the tubing mud weight is significantly impacted on by variables like tubing holdup, tubing gas density, tubing liquid densities and the total mass flow. Whereas the tubing pressure, fluid temperature, and the tubing length have insignificant effects on the tubing mud weight. From the trend plots of the variables, it was deduced that as the tubing pressure increased, the temperature and the mud weight also increased. While, the total mass and volumetric flows reduced with increased tubing pressure. The effect of input data uncertainties on the developed correlation were also tested by using 22 observation points to predict tubing mud weight and calculating the resulting residual values. Over 90% of the residual values were negative and the percentage difference in mud weight between the first and the last observation points was approximately 4%. Hence, the effect of input data uncertainties on the developed correlation is insignificant. This report will serve as a template for drilling engineers, assisting them with a simple, fast and reliable technique for determining optimum drilling parameters with a lesser engineering exertion and drilling experience.
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Oriji, Boniface A., and Raphael Odikpo Okeke. "Optimal Simulation and Mathematical Correlation of Mud Weight for Effective Wellbore Stability Management." European Journal of Engineering and Technology Research 5, no. 1 (2020): 96–99. http://dx.doi.org/10.24018/ejeng.2020.5.1.1688.
Pełny tekst źródłaStreszczenie:
Wellbore instability is a problem that affects drilling activities. It is therefore important to provide an optimal solution that prevents or reduces the occurrence of wellbore collapse and not compromise the integrity of the well. In this study, work was done to assess the impact of several parameters including tubing pressure, tubing fluid temperature, length of tubing, gas density, liquid density, tubing hold-up and total mass flow on mass fraction of tubing muds were considered. Data points for this investigation were obtained using OLGA multiphase simulator. The results of the simulation (including the trend and plot data) were exported to MATLAB to develop a mud weight model (correlation) using the MATLAB regress function. The correlation was also validated using statistical techniques such as the R square and Significance F values. Comparison of the trend plots of the actual data points from OLGA and the predicted data points was also done to further prove the reliability of the correlation. The correlation predictions agreed with the OLGA results excellently with a relative error of less than 0.001 %. This study revealed that the tubing mud weight is significantly impacted on by variables like tubing holdup, tubing gas density, tubing liquid densities and the total mass flow. Whereas the tubing pressure, fluid temperature, and the tubing length have insignificant effects on the tubing mud weight. From the trend plots of the variables, it was deduced that as the tubing pressure increased, the temperature and the mud weight also increased. While, the total mass and volumetric flows reduced with increased tubing pressure. The effect of input data uncertainties on the developed correlation were also tested by using 22 observation points to predict tubing mud weight and calculating the resulting residual values. Over 90% of the residual values were negative and the percentage difference in mud weight between the first and the last observation points was approximately 4%. Hence, the effect of input data uncertainties on the developed correlation is insignificant. This report will serve as a template for drilling engineers, assisting them with a simple, fast and reliable technique for determining optimum drilling parameters with a lesser engineering exertion and drilling experience.
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Seyfaee, A., M. Lashkarbolooki, F. Esmaeilzadeh, and D. Mowla. "Investigation of the Effect of Insulation on Wax Deposition in an Iranian Crude Oil Pipeline with OLGA Simulator." Journal of Dispersion Science and Technology 33, no. 8 (2012): 1218–24. http://dx.doi.org/10.1080/01932691.2011.605649.
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Pramana, A. A., and M. I. Afif. "Utilization of Rice Straw Extract as Corrosion Inhibitor to Decreasing Effect of Elevation on CS Pipeline using Olga Simulator." IOP Conference Series: Earth and Environmental Science 1187, no. 1 (2023): 012023. http://dx.doi.org/10.1088/1755-1315/1187/1/012023.
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Abstract In many infrastructure of oil and gas industries, corrosion is one of the most problems that often occur, especially in pipelines. Corrosion is caused by an electrochemical reaction between material surface and corrosion fluid. This problem will affect the economy, safety, and conservation. In this case, we should give a solution such as a method or tools to minimize corrosion’s effect so, it can improve safety and minimize the potential problems caused by corrosion and loss more cost. One of the ways is using organic corrosion inhibitors such as biomass agriculture waste and plant extract. A corrosion prediction model can be used to predict the corrosion rate such as NORSOK and de Waard models. Both methods are available in Olga Simulation software by Schlumberger that were used in this paper. Some of the parameters that influence corrosion were also tested: Evaluation of 1°, 2°, 3°, 4 °, and 5° of pipeline elevation to corrosion rate. Meanwhile, 31.71% of rice straw extraction (RSE) with 75% IE was used as a corrosion inhibitor compared with 30% of mono-ethylene glycol with 26% IE and 38.97% of lignin with 61% IE to determine the period of pipeline per year and to design of the pipeline. RSE that contains lignocellulose was able to give higher efficiency to decreasing corrosion. Moreover, this organic inhibitor give low cost. Therefore, this biomass would be potential as an alternative inhibitor rather than a commercial corrosion inhibitor with high cost.
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Pramana, A. A., and Y. R. Fadillah. "Analysis of Corrosion in Production Tubing Using Monoethylene Glycol and Red Ginger as Inhibitors." IOP Conference Series: Earth and Environmental Science 1187, no. 1 (2023): 012039. http://dx.doi.org/10.1088/1755-1315/1187/1/012039.
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Abstract The production system for industrial oil and gas is susceptible to corrosion, which must be controlled in order to sustain production and well direct as the production of tubing is the initial point of contact with the corrosion fluid and material agent. A chemical reaction between corrosive materials and fluids results in corrosion. Due to its mechanical characteristics, stainless steel has a wide range of uses in the building, chemical, and structural sectors. To combat corrosion issues, several chemical inhibitors are used, and numerous studies are actively working to develop organic inhibitors. Rhizome ginger is an organic component that has a high phenol antioxidant content and antioxidant compound, making it useful for corrosion issues. In this study, the effect of monoethylene glycol and ginger extract inhibitors on corrosion was reviewed. The corrosion rate was computed using an olga simulator, and the influence of the inhibitor on the rate of corrosion and the effectiveness of the inhibitors was examined.
Rozprawy doktorskie na temat "OLGA Simulator"
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Moreva, Olga [Verfasser], and Martin [Akademischer Betreuer] Schlather. "Bivariate Gaussian random fields : models, simulation, and inference / Olga Moreva ; Betreuer: Martin Schlather." Mannheim : Universitätsbibliothek Mannheim, 2018. http://d-nb.info/1162840617/34.
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Ali, Shazia Farman. "Two-phase flow in a large diameter vertical riser." Thesis, Cranfield University, 2009. http://hdl.handle.net/1826/4476.
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The rapid depletion of hydrocarbon fields around the world has led the industry to search for these resources in ever increasing water depths. In this context, the large diameter (D > 100mm) vertical riser has become a subject of great interest.
In this research work, a major investigation was undertaken to determine the two phase flow hydrodynamics in a 254mm vertical riser. Two types of experiments were performed for range of air-water superficial velocities. The first experimental campaign addresses the issue of the two gas injector’s performances (conventional vs. novel design gas injector) in the large diameter vertical riser. The experimental results show that the novel design gas injector should be the preferential choice.
The second set of the experimental work investigates the two phase flow hydrodynamics in the vertical riser in detail. The two phase flow patterns and their transitions were identified by combination of visual observations and statistical features. Based on the results, the experimental flow regime map was developed and compared with the existing vertical upflow regime maps/models. None of the flow regime transition models adequately predicted the flow regimes transitions in large diameter vertical risers as a whole. In this regard, the Taitel et al. (1980) bubble to slug flow transition model has been modified for large diameter vertical upflow conditions, based on the physical mechanism observed. The general trends of modified criteria agreed well with the current and other large diameter experimental results.
The effect of upstream conditions on the vertical riser flow behaviour was also investigated in detail by two different inlet configurations (i) near riser base injection and (ii) upstream flowline injection. It was found that no significant differences exist in flow behaviour at low air-water superficial velocities for both the inlet configuration, at high air-water superficial velocities, the intermittent flow behavior in flowline influences the riser flow pattern characteristics and thereby controls the riser dynamics. It is found that liquid slugs from the flowline naturally dissipate to some extent in the riser as a consequence of compression of succeeding bubble that rapidly expands and break through the liquid slug preceding it when it enters the riser. The experimental work corroborates the general consensus that slug flow does not exist in large diameter vertical upflow condition.
Experimental data has been further compared to increase the confidence on the existing two phase flow knowledge on large diameter vertical riser: (a) by comparing with other experimental studies on large diameter vertical upflow in which generally, a good agreement was found, (b) by assessing the predictive capability of void fraction correlations/pressure gradient methods. The important implication of this assessment is that the mechanistic approach based on specific flow regime in determining the void fraction and pressure gradient is more successful than conventional empirical based approaches. The assessment also proposes a proposed set a of flow regime specific correlations that recommends void fraction correlations based on their performances in the individual flow regimes.
Finally, a numerical model to study the hydrodynamic behaviour in the large diameter horizontal flowline-vertical riser system is developed using multiphase flow simulator OLGA. The simulated results show satisfactory agreement for the stable flows while discrepancies were noted for highly intermittent flows. The real time boundary application was partially successful in qualitatively reproducing the trends. The discrepancies between the predicted results and experimental data are likely to be related to the incorrect closure relations used based on incorrect flow regimes predictions. The existence of the multiple roots in the OLGA code is also reported for the first time.
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Larsson, Viktor, and L. Viktor Larsson. "Simulation and Testing of Energy Efficient Hydromechanical Drivlines for Construction Equipment." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107495.
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Increased oil prices and environmental issues have increased a need of loweringthe emissions from and the fuel consumption in heavy construction machines. Anatural solution to these issues is a lowered input power through downsizing ofthe engine. This implies a demand on higher transmission efficiency, in order tominimize the intrusion on vehicle performance. More specifically, alternatives tothe conventional torque converter found in heavier applications today, must beinvestigated. One important part of this is the task of controlling the transmissionwithout jeopardising the advantages associated with the torque converter, such asrobustness and controllability.In this thesis, an alternative transmission concept for a backhoe loader is investigated.The studied concept is referred to as a 2-mode Jarchow power-splittransmission, where a mechanical path is added to a hydrostatic transmission inorder to increase transmission efficiency. The concept is evaluated in computerbased simulations as well as in hardware-in-the-loop simulations, where a physicalhydrostatic transmission is exposed for the loads caused by the vehicle duringvarying conditions. The loads are in turn simulated according to developed modelsof the mechanical parts of the vehicle drive line.In total, the investigated concept can be used instead of the torque converterconcept, if the hydrostatic transmission is properly controlled. The results alsoshow that there is a high possibility that the combustion engine in the backhoeloader can be downsized from 64 kW to 55 kW, which would further increase thefuel savings and reduce the emissions.
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Krupina, Olga [Verfasser]. "NeuroSim: neural simulation system with a client server architecture / Olga Krupina." 2005. http://d-nb.info/97568664X/34.
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Gusʹkova, Olga A. [Verfasser]. "Simulation of nanostructure formation in rigid chain polyelectrolyte solutions / Olga A. Gus'kova." 2008. http://d-nb.info/998520721/34.
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Štěpánek, Martin. "Penzijní systémy ve světě se stagnující populací a tržními nedokonalostmi: srovnání." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-333044.
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Financial unsustainability of pension systems in developed economies looms large on the horizon due to increasing life expectancy and continuous drop in fertility. In spite of a broad discussion, there has been but a little consensus on appropriate remedy. Besides, the theoretical arguments supporting funded pension systems often build upon the unrealistic assumption of stable financial markets and fair transformation of saved funds into retirement benefits. This work provides an insight into performance of various pension systems in real- world conditions using large-scale simulations of an overlapping generations model based on existing pension schemes in the Czech Republic, Sweden, and Chile. Specifically, my model assumes adverse demographics, individual un- certainty, volatile financial markets' returns, and administrative costs to affect social security systems and estimates magnitude of the effects. According to the results, each pension system seems to be partially advantageous - in pro- motion of economic growth, level of retirement benefits, or protection against market risks - but no scheme is dominant or dominated overall. JEL Classification E27, C68, H55 Keywords pension, OLG, simulation Author's e-mail Stepanek.Martin@hotmail.com Supervisor's e-mail Jaromir.Baxa@centrum.cz
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Kunina-Habenicht, Olga [Verfasser]. "Theoretical and practical considerations for implementing diagnostic classification models. insights from simulation-based and applied research / von Olga Kunina-Habenicht." 2010. http://d-nb.info/1010069020/34.
Pełny tekst źródłaCzęści książek na temat "OLGA Simulator"
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Neusser, Klaus. "Savings, Social Security, and Bequests in an OLG Model. A Simulation Exercise for Austria." In Public Pension Economics. Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-6665-9_8.
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Kamaka, Martina Leialoha, Vanessa S. Wong, Dee-Ann Carpenter, C. Malina Kaulukukui, and Gregory G. Maskarinec. "Kākou: Collaborative Cultural Competency." In Ho'i Hou Ka Mauli Ola, edited by Winona K. Mesiona Lee and Mele A. Look. University of Hawai'i Press, 2017. http://dx.doi.org/10.21313/hawaii/9780824872731.003.0006.
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Since 2006, the Department of Native Hawaiian Health at the John A. Burns School of Medicine has worked to develop and implement an innovative, imaginative, and comprehensive cultural competency curriculum for our medical students. Recognizing that understanding culture, society and history is necessary to train future physicians who will work to improve the health of Native Hawaiians and all underserved communities in Hawai'i, our curriculum focuses on self-awareness, traditional healing techniques, effective communication and the social and cultural determinants of health. We expect our students to understand the roots of disparities in health and health care, including cultural historical trauma and colonization. Close consultation with community and cultural experts working with a multidisciplinary teaching team were key to the development of this curriculum, which utilizes didactics, small groups, workshops, simulated patients, service learning, community classrooms and cultural immersion weekends to teach the Native Hawaiian holistic view of wellness to our medical students.
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Soreq, Lilach, and Wael Mohamed. "Computational Analysis of Biological Data: Where Are We?" In Computational Modeling and Simulation in Biomedical Research. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815165463124010005.
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There has been a great development in the field of computational modeling and simulation in biomedical research during the last ten years, in particular, in brain stimulation of Parkinson’s disease (PD) patients and, recently, even in that of Alzheimer’s disease (AD) patients. Computer modeling allows such electrical stimulations using statistics, bioinformatics and advanced machine-learning algorithms. The current book chapter discusses the advantages of computational modeling in studying biomedical research. Using computational modeling, classification algorithms can be applied to microarray and RNA sequencing data (such as hierarchical clustering - HCL, t-SNE and principal component analysis - PCA), and high-resolution images can be generated based on the analyzed data and patient samples. Additionally, genomic data can be analyzed from cancer patient samples carrying mutations or exhibiting aneuploidy chromosomal changes (such as lung cancer, breast cancer, cervical cancer, ovarian cancer, glioblastoma and colon cancer). Also, microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) can be analyzed. We can identify cellular vulnerabilities associated with aneuploid, and assigned aneuploidy scores can generate mushroom plots on the data. Functional network analyses can highlight altered pathways (such as inflammation and alternative splicing) in patient samples, and cellular composition and lineage-specific analyses can highlight the role of specific cell types (e.g., neurons, microglia – MG oligodendrocytes- OLGs, astrocytes, etc.). Computational platforms/tools, such as Matlab, R, Python, SPSS and MySQL, can be used for analysis. The data can be deposited in the Gene Expression Omnibus (GEO). CRISPR/Cas genomic targets can be identified for therapeutic intervention using computer simulations, and patient survival curves can be computed. Further comparison to mice models can be made. Additionally, human and mouse stem cells can be analyzed, and non-parametric gene ontology (GO) analyses using KolmogorovSmirnov (KS) statistical tests can be applied to microarray or RNA sequencing data.
Streszczenia konferencji na temat "OLGA Simulator"
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Khan, Muhammad Sohaib, and Mohammed S. Alqahtani. "Field Study of Corrosion Inhibition Effect on Corrosion of Low Flow Velocity Gas Flowlines under CO2 Environments." In MECC 2023. AMPP, 2023. https://doi.org/10.5006/mecc2023-20102.
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Abstract The effect of flow velocity on corrosion inhibition of low carbon steel gas flowlines was investigated utilizing: corrosion inhibitor injection rates, OLGA1 transient simulation model for water presence identification, historical operational data and in line inspection (ILI) data. The gas flowlines included in the study shared a common condition of producing operations at variable flow velocities below 10 ft/s and continuous chemical treatment in a CO2 environment. The study concluded that CO2 corrosion was effectively mitigated at low flow velocities even at different operating temperature/pressure, variable amount of produced water and different CO2 partial pressure by ensuring that enough corrosion inhibitor was injected, provided there were no operational upset conditions.
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Moradi, Ali, Amaranath S. Kumara, and Britt M. E. Moldestad. "Development Of Dynamic Fully Integrated Well-Reservoir Models For Simulation Of Oil Recovery Through Advanced Wells." In 37th ECMS International Conference on Modelling and Simulation. ECMS, 2023. http://dx.doi.org/10.7148/2023-0229.
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Oil recovery can be enhanced by maximizing the well-reservoir contact using advanced wells. The successful design of such wells requires an appropriate integrated dynamic model of the oil field, well, and production network. In this study, the model of advanced wells developed in the dynamic multiphase flow simulator OLGA® is linked to a reservoir model to develop transient fully-coupled well-reservoir models for the simulation of oil recovery through advanced wells. The obtained results from the developed models in OLGA are compared with the results from the widely used MultiSegment Well (MSW) model. Flow Control Devices (FCDs) are the key component of advanced wells and the functionality of the main types of FCDs is investigated. According to the obtained results, by employing advanced wells with an appropriate completion design, the production of unwanted fluids (water and/or gas) can be highly reduced while the oil recovery is slightly increased compared to using conventional wells. Besides, by comparing the performance of the OLGA and MSW models, it can be concluded that OLGA is a robust tool for conducting an accurate simulation of oil recovery through advanced wells. However, running such simulations with OLGA is relatively slow and may face convergence problems.
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Zhang, Zhenhua, and Longbin Tao. "Multiphase Transient Slugging Flow in Subsea Oil and Gas Production." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-55137.
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Slug flow in horizontal pipelines and riser systems in deep sea has been proved as one of the challenging flow assurance issues. Large and fluctuating gas/liquid rates can severely reduce production and, in the worst case, shut down, depressurization or damage topside equipment, such as separator, vessels and compressors. Previous studies are primarily based on experimental investigations of fluid properties with air/water as working media in considerably scaled down model pipes, and the results cannot be simply extrapolated to full scale due to the significant difference in Reynolds number and other fluid conditions. In this paper, the focus is on utilizing practical shape of pipe, working conditions and fluid data for simulation and data analysis. The study aims to investigate the transient multiphase slug flow in subsea oil and gas production based on the field data, using numerical model developed by simulator OLGA and data analysis. As the first step, cases with field data have been modelled using OLGA and validated by comparing with the results obtained using PIPESYS in steady state analysis. Then, a numerical model to predict slugging flow characteristics under transient state in pipeline and riser system was set up using multiphase flow simulator OLGA. One of the highlights of the present study is the new transient model developed by OLGA with an added capacity of newly developed thermal model programmed with MATLAB in order to represent the large variable temperature distribution of the riser in deep water condition. The slug characteristics in pipelines and temperature distribution of riser are analyzed under the different temperature gradients along the water depth. Finally, the depressurization during a shut-down and then restart procedure considering hydrate formation checking is simulated. Furthermore, slug length, pressure drop and liquid hold up in the riser are predicted under the realistic field development scenarios.
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Afebu, K. O., A. J. Abbas, G. G. Nasr, and A. Kadir. "Integrated Leak Detection in Gas Pipelines Using OLGA Simulator and Artificial Neural Networks." In Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/177459-ms.
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Taghavi, Soheila, Farzan Farsi Madan, Ramesh Timsina, and Britt M. E. Moldestad. "Application of Autonomous Inflow Control Valve for Enhanced Bitumen Recovery by Steam Assisted Gravity Drainage." In 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Trondheim, Norway, September 20-21, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp192009.
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Steam assisted gravity drainage is a thermal method for enhanced bitumen recovery. In this method, steam is injected to bitumen and heavy oil to reduce the viscosity and make the oil mobile. However, early breakthrough of steam in some parts of the well results in loss of the required amount of steam in contact with the cold bitumen, and poor distribution of the steam chamber. This limits the oil production and increases the SAGD operation cost. Autonomous inflow control valve (AICV) is able to prevent the steam breakthrough and restrict the production of steam. The objective of this paper is to investigate the performances of AICV and passive inflow control device (ICD) in a SAGD production well. This is achieved by developing a dynamic wellbore-reservoir model in the OLGA-ROCX simulator. Reservoir and fluid properties have been specified in ROCX, and the wellbore model has been developed in OLGA. Coupling OLGA and ROCX enable the user to simulate the fluid production from the reservoir into the well. The simulation results demonstrate the significant benefit of AICV in steam to oil ratio (SOR) reduction compared to ICD. Indeed, the simulation results show that utilizing AICV in the SAGD production wells will reduce the steam production by 88% after 300 days of production. From environmental aspect, reduction in the steam to oil ratio by utilizing AICV will reduce the energy demand for steam generation. This will eventually improve the economics of SAGD projects. Also, reduction in the steam and energy demand will consequently contribute to lower the intensity of greenhouse gas (GHG) emissions.
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Anuththara, Madhawee, Ali Moradi, Amaranath S. Kumara, and Britt M. E. Moldestad. "Simulation of Oil Recovery Through Advanced Wells Using a Transient Fully Coupled Well-Reservoir Model." In 64th International Conference of Scandinavian Simulation Society, SIMS 2023 Västerås, Sweden, September 25-28, 2023. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp200012.
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Oil recovery can be enhanced by maximizing the well-reservoir contact using long horizontal wells. One of the main challenges of using such wells is the early breakthrough of unwanted fluids due to the heel-toe effect and heterogeneity along the well. To tackle this problem, advanced wells are widely applied today. The successful design of such wells requires an accurate integrated dynamic model of the well and reservoir. This paper aims at developing appropriate integrated well-reservoir models for achieving optimal long-term oil recovery from advanced well models.In this study, OLGA® which is a dynamic multiphase flow simulator is implicitly coupled to ECLIPSETM which is a dynamic reservoir simulator for developing accurate models to simulate oil production from advanced wells under various production/injection strategies. A realistic heterogeneous light oil reservoir with an advanced horizontal well is used as a case study. Flow Control Devices (FCDs) are the key component of advanced wells and the functionality of the main types of FCDs in improving the oil production, minimizing the cost and carbon footprint is investigated.According to the obtained results, by implementation of FCDs the water breakthrough time is delayed by 180 days and the cumulative water production with ICD, AICD, and AICV completions is reduced by 26.8%, 33.1%, and 49.1%, respectively, compared to the open-hole case. Besides, the results show that linking OLGA and ECLIPSE is a numerically stable and accurate approach for modeling the interaction between the dynamic reservoir and dynamic well behavior for simulation oil recovery from advanced wells.
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Ali, Zalina, Astriyana Anuar, Nicolas Grippo, Nurshahrily Emalin Ramli, and Najmi Rahim. "Unifying of Steady State and Transient Simulations Methodologies for Increasing Oil Production of Integrated Network of Wells, Pipeline and Topside Processing Equipment." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207470-ms.
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Abstract Aging facilities and increasing complexity in operations (e.g., increasing water cut, slugging, sand or wax production) continue to widen the gap between actual production and the full potential of the field. To enable production optimization scenarios within an integrated system comprises of reservoirs, wells and surface facilities, the application of an integrated network modelling has been applied. The highlight of this paper is the synergy of Integrated Production Network Modelling (IPNM) utilizing Steady State Simulator (PROSPER-GAP) and the Transient Simulator (OLGA) tools to identify potential quick gains through gaslift optimization as well as mid and long-term system optimization alternatives. The synergy enables significant reduction in transient simulation time and reduced challenges in OLGA well matching, especially in selecting accurate modelling parameters e.g., well inflow performance (validated well (string) production data, reservoir pressure, temperature and fluid properties and the Absolute Open Flow (AOF) of each well). The paper showcased the successful production gain achieved as well as the workflows and methodologies applied for both Steady State Integrated Production Modelling (IPM Steady State) and Integrated Transient Network Modelling (IPM Transient) as tools for production enhancement. Even though IPM Steady State shows promising results in term of field optimization potential, to increase accuracy and reduce uncertainties, IPM Transient is recommended to be performed to mimic the actual transient phenomena happening in the well to facilities
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Afif, M. I., and A. A. Pramana. "Determination of the effect of elevation on internal corrosion and mitigation in Cs pipeline using Olga simulator." In THE 7TH BIOMEDICAL ENGINEERING’S RECENT PROGRESS IN BIOMATERIALS, DRUGS DEVELOPMENT, AND MEDICAL DEVICES: The 15th Asian Congress on Biotechnology in conjunction with the 7th International Symposium on Biomedical Engineering (ACB-ISBE 2022). AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0193631.
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Fernandes, I., A. Gaidhani, and K. Shukla. "Application of a Multiphase Flow Simulator for Production Optimization of Tiebacks Using Subsea Multiphase Pumping." In Offshore Technology Conference. OTC, 2025. https://doi.org/10.4043/35905-ms.
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Abstract The objective of this paper is to optimize oil production of deepwater tiebacks using subsea processing such as multiphase pumping to improve recovery and accelerate production. The Helico-Axial multiphase pumps have been used to evaluate the added production of oil beyond natural production after the early life of the two selected long and short distance tiebacks typical to the deepwater environment using a multiphase flow simulator. A multiphase flow simulator such as OLGA has been used to develop a dynamic model for the assumed hydrocarbon composition, with low API gravity for the cases of two tiebacks: short-distance tiebacks (~1 mile) and long-distance tiebacks (~22 miles) typical to the Gulf-of-Mexico using their respective subsea architectures. The fluid properties used in the model were determined using a PVT simulator. The OLGA model is applied to perform the subsea production analysis to determine the increment in the production capacity of oil with and without the use of a Helico-Axial pump with varying differential pressures and capacities. In this study, the model results are presented for the increments of oil flow rate for the various differential pressures of Helico-Axial multiphase pumps over the life of the selected fields for the two base tieback cases. For both the short-distance and the long-distance tiebacks our results show a significant increase in the oil production rate using subsea pumping, over natural production. We also performed the analysis of Gas Volume Fraction (GVF) of the produced oil to investigate its impact on the performance of the Helico- Axial multiphase pump. Our analysis shows that multiphase pumping can be economical and can mitigate many flow assurance issues to reduce the cost and manage the risks during operations. It may also help reduce the greenhouse gas emissions at the production facility. In conclusion, subsea multiphase pumping appears to be a promising approach to develop the extended tiebacks in the deepwater environment. This paper presents an innovative modeling method to enhance recovery of oil production using one of the subsea processing tools such as multiphase pumping for the realistic cases of subsea tiebacks typical to the Gulf of Mexico. This research demonstrates the knowledge and skill required for subsea multiphase processing and multiphase modeling of critical tieback systems and cost-effective oil production to benefit the practicing engineers.
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Kumar, Avinav, Rajeev Bansal, Avanish Chaubey, et al. "Optimal Design of Downhole Pump, Velocity String and Plunger Lift for Gas Well Deliquification in Tripura using Dynamic Simulator OLGA." In SPE Oil and Gas India Conference and Exhibition. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/194593-ms.
Pełny tekst źródłaRaporty organizacyjne na temat "OLGA Simulator"
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Botros, Geerligs, and Given. L52187 Decompression Response of High-Pressure Natural Gas Pipelines Under Rupture or Blowdown Conditions. Pipeline Research Council International, Inc. (PRCI), 2004. http://dx.doi.org/10.55274/r0010394.
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The Pipeline Research Council International, Inc. found that Scandpower has software that is capable of predicting the transient response of a pipeline segment transporting either conventional or enriched dense phase natural gas mixtures when subjected to a controlled blow down or an uncontrolled rupture event. Consequently PRCI expressed a desire to pursue an experimental work to provide the basis for evaluating the adequacy of the existing software and/or define further development if any. NOVA Research and Technology Corporation (NRTC) was awarded a contract to perform the experimental work and compare results with prediction by the OLGA 2000 software. The existing NPS 2 stainless steel decompression tube test rig at TCPL Gas Dynamic Test Facility (GDTF) in Didsbury, Alberta, Canada, has been expanded specifically for this project. The initial length of 30 meters was extended to 172 meters in order to simulate a longer length to diameter (L/D) ratio. Two sets of tests were conducted: one to simulate pipeline rupture and another to simulate controlled blowdown. Rupture was simulated by a rupture disc located at one end of the tube, while blowdown was affected by a typical blowdown stack and a reduce-bore ball valve. The test scope included three gas mixtures (conventional, medium rich and rich) and three initial pressures: 10, 14 and 20 MPa.