scholarly journals Problem and models of multicriteria decision making and risk assessment of the arctic offshore oil and gas field development

2019 ◽  
Vol 700 ◽  
pp. 012050
Author(s):  
A B Zolotuhin ◽  
Yu P Stepin
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Oil And Gas ◽  
Multicriteria Decision Making ◽  
The Arctic ◽  
Gas Field ◽  
Field Development ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Offshore Oil

Optimization of OSV Fleet for an Offshore Oil and Gas Field in the Russian Arctic

2015 ◽  
Author(s):  
Aleksandar-Saša Milaković ◽  
Mads Ulstein ◽  
Alexei Bambulyak ◽  
Sören Ehlers
Keyword(s):  
Supply Chain ◽  
Environmental Conditions ◽  
Oil And Gas ◽  
The Arctic ◽  
Russian Arctic ◽  
Gas Field ◽  
Arctic Conditions ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Offshore Oil

Due to a constantly increasing global energy demand on one side, and depletion of available hydrocarbon resources on another, a continuous search for new reserves of hydrocarbons is required (BP Energy Outlook 2035 [1]). Having in mind that estimated 22% of the world’s undiscovered petroleum is located in the Arctic, 84% of which is projected to be offshore (US Geology Survey [2]), the Arctic becomes a logical region of activities expansion for the oil and gas industry. Opposing large expected quantities of hydrocarbons that are to be found in the Arctic, there are also numerous challenges that need to be overcome in order to make production economically feasible. One of the segments of offshore production process that is expected to be influenced by Arctic conditions is upstream supply chain, or chain of delivery of products and services that are necessary for unhindered operation of an offshore field. Within upstream supply chain, it is expected that the configuration of Offshore Supply Vessel (OSV) fleet will be significantly affected by specific Arctic conditions, mainly by large distances to supply base as well as by environmental conditions. Therefore, this paper seeks to identify an optimal composition of OSV fleet taking into consideration specific Arctic conditions. A simulation model describes an upstream supply chain taking into consideration stochastic nature of environmental conditions in the Arctic. An optimization model is built on top of the simulation model in order to assess optimal configuration of the fleet with respect to operational costs. Simulation and optimization are run for a case of an offshore oil and gas field development in the Russian Arctic.

scholarly journals Modern Political and Economic Aspects of the Oil and Gas Complex in the Southeast Asia Region

2014 ◽  
pp. 54-59
Author(s):  
V. I. Salygin ◽  
S. V. Berezinskiy
Keyword(s):  
Southeast Asia ◽  
Oil And Gas ◽  
American Business ◽  
Gas Field ◽  
Field Development ◽  
Oil And Gas Fields ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Gas Fields ◽  
Offshore Oil

AbstracUThe article reviews the problems caused by the conflict of interests between certain Southeast Asian countries and other states, China foremost, which aroused from oil and gas field development on disputable offshore sections. At the same time the positions of the region's leading transnational corporations in the field of oil and gas policy and their relationships with the countries-ASEAN (Association of South East Asian Nations) members are outlined. Separately are represented the foreign policy stands of Indonesia, Vietnam, Brunei, Philippines and Malaysia on territorial disputes over offshore oil and gas fields. These processes are pushing both European and American business to abandon the conventional schemes and accept the new conditions of their activity in Southeast Asia.

Optimal Design and Scheduling of Offshore Oil and Gas Field Development with Environmental Impact Consideration

2021 ◽  
Author(s):  
Novita Dwi Putri Nugraheni ◽  
Jie Li
Keyword(s):  
Environmental Impact ◽  
Oil And Gas ◽  
Pareto Optimal ◽  
Gas Field ◽  
Pareto Optimal Front ◽  
Field Development ◽  
Minlp Model ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Offshore Oil

Abstract The objective of the paper is to develop a mixed integer nonlinear programming (MINLP) model for optimum design and scheduling of offshore oil and gas field development in respect to simultaneous consideration of economic and environmental impact. The model is utilized as a tool for decision making management in conceptual stage. Nonlinear reservoir behavior and floating demand constraint are incorporated to improve accuracy of the solution. This paper utilizes mathematical programming techniques to address the design and scheduling problem of offshore oil and gas field development. Field development problem is first formulated into a multi-objective MINLP model incorporating many realistic features such as nonlinear reservoir behavior and floating demands. The objectives are to maximize net present value (NPV) and minimize total environmental impact (TEI) simultaneously. Environmental impact is assessed using the ReCiPe2016 method. Augmented ε-constraint method (AUGMECON) is then employed to solve the proposed multi-objective MINLP model to generate the Pareto-optimal front that is able to assist decision maker selecting the most preferred solution. The performance of the proposed modelling framework is investigated on a set of problem which consists of 2 reservoirs, 2 FPSOs, 2 customers and 5-years planning horizon. First model with single objective function to maximize NPV can be solved effectively within short computational time. The solution gives optimum decision of design, investment, production schedule, and transportation regardless the environmental impact. Then, simultaneous optimization of multi-objective MINLP with different value of ε-constraint generates multiple development schemes and objective function values. The results indicate trade-off between maximizing NPV and minimizing TEI. It is possible to obtain maximum NPV of USD 2.4 trillion at the expense of TEI which is 307.518 or to generate minimum TEI of 16.65 at the expense of NPV which is USD 74.368 billion. All possible solutions within extreme values range are presented in form of a Pareto-optimal front where TEI and NPV are plotted in x and y-axis respectively. It will assist the company to select the most preferred solution based on NPV. Consequently, the selected option brings corresponding value of TEI. Additionally, the Pareto optimal front also allows decision maker to have more flexibility to compromise between economic and environmental issues. This is the first study to consider environmental impact in the offshore oil and gas field development. Many realistic operational features such as nonlinear reservoir behavior and floating demands are also incorporated. In addition to that, the proposed framework yields a powerful tool to assist decision maker selecting the most preferred solution that satisfies their criteria in both economic and environmental aspects.

Research on the Assessment on the Risk System Regarding Offshore Oil and Gas Field Development Projects Based on the Grey System Theory

2015 ◽  
Vol 737 ◽  
pp. 843-845 ◽  
Author(s):  
Jia Ming Li
Keyword(s):  
Oil And Gas ◽  
Development Project ◽  
Grey System Theory ◽  
Development Projects ◽  
Grey System ◽  
Gas Field ◽  
Field Development ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Offshore Oil

the risk assessment for development project is simply and highly efficient, requires less data, and can clearly uncover the problems. It is plausible to evaluate a plenty of development projects through computers

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