scholarly journals An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure

2012 ◽  
Vol 51 (19) ◽  
pp. 6823-6840 ◽  
Author(s):  
Vijay Gupta ◽  
Ignacio E. Grossmann
Keyword(s):  
Oil And Gas ◽  
Optimal Planning ◽  
Gas Field ◽  
Minlp Model ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Offshore Oil

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.

Corrosion Fatigue of Welded Stainless Steels for Deepwater Riser Applications

2005 ◽  
Author(s):  
P. Woollin ◽  
S. J. Maddox ◽  
D. J. Baxter
Keyword(s):  
Corrosion Fatigue ◽  
Oil And Gas ◽  
Current Knowledge ◽  
Fatigue Loading ◽  
Fatigue Behaviour ◽  
Gas Field ◽  
Internal Surfaces ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Offshore Oil

Steel risers for deepwater offshore oil and gas field developments are subject to seawater on the external surfaces, produced fluids on the internal surfaces and to fatigue loading. This paper reviews current knowledge of the corrosion fatigue behaviour of welded stainless steel for risers and presents results of testing of supermartensitic, duplex and superduplex grades in relevant environments.

Long Pile Upending Lifting Study for Fixed Platform on Offshore Oil and Gas Field

2014 ◽  
Author(s):  
Yandong Zhou ◽  
Facheng Wang
Keyword(s):  
Deep Water ◽  
Oil And Gas ◽  
Cost Effective ◽  
Analysis Model ◽  
Gas Reservoirs ◽  
Gas Field ◽  
Water Developments ◽  
Oil And Gas Field ◽  
Offshore Oil And Gas ◽  
Offshore Oil

Fixed platform have been widely employed in the offshore oil and gas reservoirs development. Pile foundation reliability is critical for these platforms where drilling, production and other functions are integrated. The lifting operation for the long pile, being a key step in the jacket installation, has been considered for further developments. With deep water developments, the sizes and weights of long piles are reasonably bigger. The corresponding process and equipment employed are subsequently altered, which brings challenges to developing a cost-effective, easy-operable approach for lifting operation. In this paper, the technology for the offshore long pile upending lifting operation including pile feature, installation methodology, lifting rigging and analysis model, covering water depths ranging from shallow to near deep water zone (60–300 m water depth) has been suggested. In addition, the applicability of the adoptable novel approaches has been discussed considering the practical project experience.

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.

SOME CONSTRUCTION PROBLEMS OF THE CASPIAN SHELF AND OSCILLATIONS OF FIXED OFFSHORE OIL AND GAS STRUCTURES

2016 ◽  
Vol 2 (1) ◽  
pp. 41-46
Author(s):  
Востров ◽  
Vladimir Vostrov ◽  
Абсиметов ◽  
Vladimir Absimetov ◽  
Абсиметов ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Dynamic Interaction ◽  
Gas Field ◽  
One Dimensional ◽  
Oil And Gas Field ◽  
Ice Loads ◽  
Offshore Oil And Gas ◽  
Ice Floes ◽  
Definition Of ◽  
Offshore Oil

An analysis of the dynamic interaction between ice floes with the marine and offshore oil and gas field facilities, which are the basis of the conditions of occurrence and development of self-oscillation using a one-dimensional mathematical model of oscillations facilities. Determined by dynamic ice loads on structures and analyzed the conditions for establishing self-oscillations along with the definition of their parameters. Offers recommendations for improving the international standard ISO 19906 and SNIP RK 3.04-40-2006.

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