Comprehensive Evaluation and Selection of Separators for the Oil and Gas Industry

2014 ◽  
Vol 49 (11-12) ◽  
pp. 727-735
Author(s):  
L. M. Mil’shtein
Author(s):  
Matt Taher ◽  
Cyrus Meher-Homji

Gas turbine driven centrifugal compressors are widely used in the oil and gas industry. In evaluating the optimum selection of gas turbine drivers for centrifugal compressors, one of the main objectives should be to verify proper integration and matching of the centrifugal compressor to its gas turbine driver. Gas turbines are of standard designs, while centrifugal compressors are specifically designed to meet customer requirements. The purchaser should clearly specify process requirements and define possible operating scenarios for the entire life of the gas turbine driven centrifugal compressor train. Process requirements defined by the purchaser, will be used by the compressor designer to shape the aero-thermodynamic behavior of the compressor and characterize compressor performance. When designing a centrifugal compressor to be driven by a specific gas turbine, other design requirements are automatically introduced to centrifugal compressor design. Off-design performance, optimum power turbine speeds at site conditions as well as optimum power margin required for a future-oriented design must all be considered. Design and off-design performance of the selected gas turbine at site conditions influences the final selection of a properly matched centrifugal compressor design. In order to evaluate different designs and select the most technically viable solution, the purchaser should have a clear understanding of the factors influencing a proper match for a centrifugal compressor and its gas turbine driver. This paper discusses criteria for evaluating the most efficient combination of a centrifugal compressor and its gas turbine driver as an integral package from a purchaser’s viewpoint. It also addresses API standard requirements on gas turbine driven centrifugal compressors.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dario Augusto Borges Oliveira ◽  
Daniela Szwarcman ◽  
Rodrigo da Silva Ferreira ◽  
Semen Zaytsev ◽  
Daniil Semin

AbstractCurrent seismic processing workflows in the oil and gas industry involve several interactions between different experts to optimize the overall data quality in various tasks, such as noise attenuation, velocity analysis and horizon picking. While many machine learning-based approaches have been proposed to support each of those steps, most of them disregard expert interactions to guide the overall optimization. This paper presents geocycles, a cyclic learning approach that mimics this iterative process, which can be applied to different pre-stack seismic processing tasks. Our method refactor these processes considering training, testing, and evaluation sub-tasks, which allow the selection of samples for greedy sequential processes targeting an overall optimum quality for very large seismic datasets. We present encouraging results showing that a cyclic structure and efficient quality metrics improved overall outcomes in up to 128% for two different seismic processing tasks in comparison to a 1-cycle machine learning approach.


Author(s):  
Astrid Vamråk Solheim ◽  
Maxime Lesage ◽  
Bjørn Egil Asbjørnslett ◽  
Stein Ove Erikstad

Abstract This paper presents the first steps towards conceptual design for the underwater transportation of minerals from seabed to shore for deep sea mining (DSM). The methodology is based on conceptual design using a systematic approach. Abstraction was used to identify the fundamental entities of the problem, and a function structure containing the overall function and subfunctions was established based on the abstraction. Further, an extensive search for working principles (WP) was conducted in order to find forms associated with the functions. This was done by exploration of solutions within different industries such as the oil and gas industry, subsea industry and dredging industry. The discovered working principles were then listed and categorized based on their physical principles, i.e. classifying criteria. For each function, the working principles were combined into design catalogues with classifying criteria in the rows and columns. Further, compatibility between principles was reviewed. This led to the selection of four working structure sets: one based on ore moved as bulk, and three based on ore moved inside a container. The container-based solutions are different in how the container is moved: inside the cargo hold, carried outside, or towed by underwater vehicle. A completion of the last steps of the conceptual design process is needed to obtain a principle solution.


2021 ◽  
Vol 12 (4) ◽  
pp. 253-261
Author(s):  
Kittisak Jermsittiparsert ◽  
◽  
Marziah Zahar ◽  
Sri Sumarni ◽  
Olga Yuryevna Voronkova ◽  
...  

Author(s):  
Anastasiya V. Chebotareva ◽  
◽  
Irina V. Filimonova ◽  

The work is devoted to the analysis of the capital structure of oil and gas companies. The paper analyzes the capital structure of the oil and gas industry in Russia as a whole and with differentiation by companies. The main trends in the development of company capital are identified. Special attention is paid to the world's largest oil and gas companies. The authors estimated the dynamics of changes in own and borrowed funds of oil and gas companies in the world. The main trends of Russian and foreign companies as part of the selection of funding sources were identified.


Author(s):  
D.R. Musina ◽  
◽  
I.V. Burenina ◽  
R.R. Kazykhanov ◽  
L.S. Nafikova ◽  
...  

The article presents the results of the authors' scientific work aimed at developing a methodology for internal and external benchmarking of procurement activities for companies in the oil and gas industry. The categorization of the types of benchmarking is carried out and those that are applicable for the development of benchmarking methods in the procurement of oil companies are highlighted. In order to develop a methodology for benchmarking procurement activities, the general concept of benchmarking was transformed for industry conditions and functional features of procurement in an oil company. The process for the implementation of external benchmarking of procurement activities has been developed. The key indicators of operational efficiency and labor productivity are proposed for the stage of selection of industry competitors. At the stage of comparison, it was proposed to compare the elements, tools and indicators of the procurement logistics for oil companies. The internal functional benchmarking is recommended for large oil companies and vertically integrated oil companies. In contrast to the external one, this is partner benchmarking, benchmarking for experience exchange. The process of implementation of internal benchmarking of procurement activities is proposed. For the stage named «Selection of subsidiaries-benchmarks», its own set of indicators is proposed. Unlike external benchmarking, the internal benchmarking is focused on borrowing the experience of improving procurement business processes in reference subsidiaries.


2021 ◽  
Author(s):  
Leandro Pereira Basilio ◽  
Priscilla Badega Machado ◽  
Débora Calaza de Sousa ◽  
Rafael Vinicius de Castro ◽  
Diego Russo Juliano ◽  
...  

Abstract The objective of this paper is to present and discuss the philosophy behind the integration of "Model-Based Systems Engineering" (MBSE) with metaheuristic algorithms, referred to as "Model-Based Systems Metaheuristic Engineering" (MBSME), which has demonstrated high potential of techno-economic optimization of large capital projects in oil and gas industry, notably in the automatic and integrated conceptual design and selection of offshore systems architectures. Virtual modeling has always been an important part of systems engineering to support functional, performance and other engineering analysis. The so-called MBSME allows the simulation of several specific System-of-Systems physically addressed in offshore field development, bringing all the benefits of the traditional MBSE approach, and set a stochastic characteristic in the analysis, allowing the project team to focus on a Model-Centric approach, as well as to quickly understand the influence of several combined project strategies and application of different technologies, communicated through a Tradespace exploration map. Due to the characteristics associated with and the countless number of variables of the multidimensional problem addressed in an offshore field development, the integration of "Meta-Heuristic" algorithms with "Model-Based Systems Engineering" has demonstrated a remarkable efficiency and powerful applicability in the search for optimized design solutions in oil and gas industry, especially considering the processes of generation of conceptual alternatives of offshore production systems. This method leads to a reduction of more than 2/3 of the average time currently observed, with an increase in the number of conceptual alternatives evaluated in the order of tens to an order of thousands of options, in an automatic and integrated approach. Although the digital MBSME already developed addresses the combination of all technical disciplines associated with a complete offshore field development, the current work emphasizes the latest R&D achievements, addressing the automatic design and specification of Topside Facilities architecture, combined with the automatic selection of fitting for purpose Production Unit, based on internal requirements, such as the required capacity to support total weight and footprint imposed by the topside facilities’ modules, as well as external requirements, like water depth, surface metocean, type of well completion and oil storage requirements. An example of the MBSME application is presented, demonstrating a three-dimensional Tradespace exploration, relating Net Present Value (NPV), Capital Expenditure (CAPEX) and Breakeven Oil Price, through the application of a computational package in a hypothetical project, reflecting the design conditions of an offshore development in the Brazilian Pre-Salt region. The paper communicates an efficient method to increase the scope and accuracy of conceptual analyses, leading to the identification of the most favorable techno-economic conditions to the particularities of each project, supporting significant increases of return on investments.


1977 ◽  
Vol 1977 (1) ◽  
pp. 91-94
Author(s):  
V. E. Bohme ◽  
E. R. Brushett

ABSTRACT Alberta is a major oil-producing region in North America. In excess of one-half billion barrels per year are produced from 10,000 oil wells. Oil and produced salt water are transported through 20,000 miles of pipelines. More than 600 oil and salt water spills per year occur, generally on land. The Energy Resources Conservation Board is responsible for the administration of the oil and gas industry. The board's policies and regulations relating to spill prevention, oil spill contingency planning, containment and cleanup are broad and flexible to permit industry a relatively high degree of freedom to operate in this area of rapidly-changing technology. While each company is held responsible for containment and cleanup of its own spills, the board supports the oil spill cooperative concept in spill equipment maintenance, contingency plan preparation and spill response training. Careful containment and cleanup of oil and salt spills will minimize soil and vegetation damage. This, followed by comprehensive evaluation of spill effects, enables implementation of more effective rehabilitation programs.


Sign in / Sign up

Export Citation Format

Share Document