DO BUSINESS ETHICS REALLY MATTER?

2003 ◽  
Vol 43 (1) ◽  
pp. 705
Author(s):  
A. Lagan

There are few people today who would dare to say that business and ethics are incompatible forces. This was not the case so very long ago. Despite this shift, the recent spate of spectacular business collapses would seem to suggest that there is still a lag between the values being espoused by today’s business leaders, and the resources allocated to ensuring the ethical imperative is embedded in day-to-day decision-making.This paper seeks to present an overview of where the business ethics debate sits today and how this relates to the current state of ethical play in the oil and gas industry. It reviews the major forces pushing ethics up the corporate agenda and seeks to build the business case for why attention to business ethics will improve overall organisational performance. It does this by reviewing the new business philosophies of sustainability and corporate social responsibility (CSR) and argues that these new business doctrines can be seen as essentially applied ethical practices and present the greatest opportunity to date for embedding the ethical imperative in organisational life.The author argues that historically it has been the oil and gas industries that have been the first to recognise the interdependence of business ethics and organisational performance and that it is these industries have now moved into stage two phase of sustainability development where they are focussing their efforts on embedding the ethical perspective into their day-to-day performance management systems.

Author(s):  
Ca Tran Ngoc

The paper examines the process of technology transfer from British industrial companies to Vietnamese companies, to look at the obstacles of this process, especially in dealing with different business culture environments. The study uses the case studies method, conducting interviews with about ten companies working in oil and gas service industry. Since this is only a first stage of the longer term project, only preliminary results were discussed. Therefore, a company in civil engineering consulting has been examined for comparison. The paper argues that the differences in perception of the same operation activity like service in oil and gas industry are crucial factors to take into account if the transfer process is to be successful. Also, the transferor and the recipient may have different behaviour in negotiating, in communicating with each other. Thus, the preparation of background information, to do "home work", patience and pro-active attitudes in trying to understand partners are important for transferring technology into different business environment.   In addition, the factors, sometime not very technology-related, such as internal political motives and organisational issues of the firms involved can be very influential in the success of technology transfer process.


Author(s):  
Jun Zhou ◽  
Tao Deng ◽  
Guangchuan Liang ◽  
Jinghong Peng ◽  
Tian Meng ◽  
...  

Abstract Pigging techniques are widely used in the oil and gas industry. The unsteady motion of the PIG in an undulating pipe section during the pigging process after a water pressure test affects the stable operation of the pipeline and also causes a pipe rupture accident in serious cases. First, an experimental study was conducted to investigate the pigging process of air–water two phase pipe flows, and the PIG reverse movement and hydraulic pulse phenomenon were observed. Subsequently, a hydraulic transient model of the pigging process after a water pressure test was established in a dual-grid system. The model combined mass and motion equations of gas and liquid and PIG dynamic equations, considered three types of PIG motion states, namely positive movement, reverse movement and still, and used the method of characteristics to solve the equations. The model exhibits the ability for PIG tracing and hydraulic pulse prediction. It can be used to obtain the position and speed of the PIG. Finally, the field data and simulation results were compared, and the results indicated that they are essentially identical. This verified the accuracy of the model that is established in this study and the reliability of computed results and provided a reliable and effective theoretical basis for the development of field pigging plans.


Author(s):  
Diana Marcela Martinez Ricardo ◽  
German Efrain Castañeda Jiménez ◽  
Janito Vaqueiro Ferreira ◽  
Pablo Siqueira Meirelles

Various artificial lifting systems are used in the oil and gas industry. An example is the Electrical Submersible Pump (ESP). When the gas flow is high, ESPs usually fail prematurely because of a lack of information about the two-phase flow during pumping operations. Here, we develop models to estimate the gas flow in a two-phase mixture being pumped through an ESP. Using these models and experimental system response data, the pump operating point can be controlled. The models are based on nonparametric identification using a support vector machine learning algorithm. The learning machine’s hidden parameters are determined with a genetic algorithm. The results obtained with each model are validated and compared in terms of estimation error. The models are able to successfully identify the gas flow in the liquid-gas mixture transported by an ESP.


Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3733
Author(s):  
Rasmus Thy Jørgensen ◽  
Gunvor Rossen Tonnesen ◽  
Matthias Mandø ◽  
Simon Pedersen

The goal of this study is to compare mainstream Computational Fluid Dynamics (CFD) with the widely used 1D transient model LedaFlow in their ability to predict riser induced slug flow and to determine if it is relevant for the offshore oil and gas industry to consider making the switch from LedaFlow to CFD. Presently, the industry use relatively simple 1D-models, such as LedaFlow, to predict flow patterns in pipelines. The reduction in cost of computational power in recent years have made it relevant to compare the performance of these codes with high fidelity CFD simulations. A laboratory test facility was used to obtain data for pressure and mass flow rates for the two-phase flow of air and water. A benchmark case of slug flow served for evaluation of the numerical models. A 3D unsteady CFD simulation was performed based on Reynolds-Averaged Navier-Stokes (RANS) formulation and the Volume of Fluid (VOF) model using the open-source CFD code OpenFOAM. Unsteady simulations using the commercial 1D LedaFlow solver were performed using the same boundary conditions and fluid properties as the CFD simulation. Both the CFD and LedaFlow model underpredicted the experimentally determined slug frequency by 22% and 16% respectively. Both models predicted a classical blowout, in which the riser is completely evacuated of water, while only a partial evacuation of the riser was observed experimentally. The CFD model had a runtime of 57 h while the LedaFlow model had a runtime of 13 min. It can be concluded that the prediction capabilities of the CFD and LedaFlow models are similar for riser-induced slug flow while the CFD model is much more computational intensive.


2015 ◽  
Vol 55 (2) ◽  
pp. 456
Author(s):  
Paul van der Beeke

Oil and gas production operations occur in widely diverse onshore and offshore contexts. The global industry has a long history of coping with climate variability, extreme climatic conditions and extreme weather events. Climate change, however, is projected to take the new climate beyond the range of historical variability in many places where oil and gas production facilities are located. Oil and gas infrastructure often has an expected operational life of 50 years or more, which would take new operations to 2064 and beyond. This is well inside the timeframe predicted for substantial climate change with consequent risks to longer term operational continuity and supply chain security. In recent years, the realities of climate change beyond pre-industrial age historical variability, and the associated business risks, have become accepted by the major global oil and gas industry players. Other stakeholders, including corporate, institutional and private investors and corporate regulators, are also becoming more assertive in their demands for corporate disclosure of climate change risks, adaptation management plans and evidence of effective implementation of adaptive measures. Industry decision-makers need scientifically sound and robust data applied to their specific operations and business conditions to support business case-based investment decisions for new project feasibility, capital and operational expenditure, and the management of long-term strategic liabilities. This extended abstract provides an overview of the complex and interconnected web of climate change effects that should be considered. It also outlines approaches that could be employed to manage the risks and meet stakeholder expectations.


2021 ◽  
Author(s):  
A. Farokhipour ◽  
Z. Mansoori ◽  
M. Saffar-Avval ◽  
G. Ahmadi

Abstract In the oil and gas industry, sand particle erosion damage to elbows is a common problem. The ability to predict erosion patterns is of great importance for sizing lines, analyzing failures, and limiting production rates. Computational fluid dynamics (CFD) can be utilized to study the erosion behavior and mitigate the erosion problem for safety purposes and greater equipment longevity. In order to alleviate the adverse results of sand erosion in elbows, the current study investigated the potential of the geometrically induced swirl flow generated from flow passing through a four-lobed twisted pipe upstream of an elbow. To this end, first, the airflow in a standard elbow equipped with different swirl pipes was simulated using the SIMPLE method, then an Eulerian-Lagrangian approach was employed to track the particles, and finally, the erosion rate was computed. The simulation results indicated that the elbow’s maximum erosion rate with twisted pipes placed upstream of the elbow is lower than the one obtained for the standard pipe. In addition, as the twisted pipe position gets closer to the bend, the erosion rate further reduces. Thus, swirling flows provide a promising prospect as a mechanism to control the erosion rate in elbows.


2021 ◽  
Author(s):  
N.P. Petrov ◽  
S.N. Petrova ◽  
N. V. Korzhavina ◽  
E. V. Lisovsky

The development of methods for modeling the motion of fluid in a well is an urgent area of both theoretical and applied interest. In mathematical modeling of real processes of fluid motion, it is possible to use a description using continuous distributions and use a well-developed apparatus of continuum mechanics and differential calculus. The purpose of the work is to synthesize and analyze a model of the motion of a heterogeneous fluid in a well based on the methods of continuum mechanics and differential calculus. The issues of constructing and studying models of the motion of a multiphase fluid in a well are considered. Systems of equations of conservation of phase masses, momentum and energy of a two-phase mixture are studied. The approach to the search for the optimal pressure of liquid supply to the well and to the estimation of the velocity distribution of liquid and particles is described. The results can find applications in modeling processes related to fluid movement, as well as in the development of technologies in the oil and gas industry, as well as technologies aimed at ensuring environmental safety.


Author(s):  
Khalid Kamhawi ◽  
Yabin Zhao ◽  
Liam Finch

Various technical, commercial and operational requirements and conditions warrant the modelling of gas condensate pipelines as two-phase flows. Although phenomenological descriptions of two-phase flows are commonly used in the Oil and Gas Industry, the thermal-hydraulic complexities of such systems mean that a number of mechanistic formulations are available, some emphasising accuracy at the expense of computational efficiency, others preferring a more simplified approach. This article proposes a fully mechanistic slow transient model of two-phase condensate gas flows in pipelines, where the slip relation is derived from first principles using a mutliscale expansion method. Representative steady state and transient case studies for different operational conditions are simulated and solved numerically. Results are analysed and validated against an industry standard Two-Fluid Model based software.


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