Mixed-integer multiperiod model for the planning of oilfield production

Ortı́z-Gómez, A.; Rico-Ramı́rez, Vicente; Hernández-Castro, Salvador

doi:10.1016/s0098-1354(01)00778-5

Cited by 34 publications

(19 citation statements)

References 6 publications

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“…Important field operating options and planning models have been described (Palsson et al, 2003;Ortíz-Gómez et al, 2002;Barnes et al, 2002). For specific fields, much is dependent on specific reservoir characteristics, investments, production strategies, and technology use, as a function of time.…”

Section: Giant Oil Fields and World Productionmentioning

confidence: 99%

Giant oil field decline rates and their influence on world oil production

2009

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The most important contributors to the world's total oil production are the giant oil fields. Using a comprehensive database of giant oil field production, the average decline rates of the world's giant oil fields are estimated. Separating subclasses was necessary, since there are large differences between land and offshore fields, as well as between non-OPEC and OPEC fields. The evolution of decline rates over past decades includes the impact of new technologies and production techniques and clearly shows that the average decline rate for individual giant fields is increasing with time. These factors have significant implications for the future, since the most important world oil production base -giant fields -will decline more rapidly in the future, according to our findings. Our conclusion is that the world faces an increasing oil supply challenge, as the decline in existing production is not only high now but will be increasing in the future.

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Section: Giant Oil Fields and World Productionmentioning

confidence: 99%

Giant oil field decline rates and their influence on world oil production

2009

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“…However, the model considers only gas production and the number of wells were used as parameters (fixed well schedule) in the model. Ortiz-Gomez et al (2002) presented three mixed integer multiperiod optimization models of varying complexity for the oil production planning. The problem considers fixed topology and is concerned with the decisions involving the oil production profiles and operation/shut in times 4 of the wells in each time period assuming nonlinear reservoir behavior.…”

Section: Introductionmentioning

confidence: 99%

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

Gupta

Grossmann

2012

Ind. Eng. Chem. Res.

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In this paper, we present an efficient strategic/tactical planning model for offshore oilfield development problem that is fairly generic and can be extended to include other complexities.The proposed multiperiod non-convex MINLP model for multi-field site includes three components (oil, water and gas) explicitly in the formulation using 3 rd and higher order polynomials avoiding bilinear and other nonlinear terms. With the objective of maximizing total NPV for long-term planning horizon, the model involves decisions related to FPSO (floating production, storage and offloading) installation and expansion schedule and respective oil, liquid and gas capacities, connection between the fields and FPSOs, well drilling schedule and production rates of these three components in each time period. The resulting model can be solved effectively with DICOPT for realistic instances and gives good quality solutions.

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“…Some are interested in integrating hierarchically divided decision-making frameworks in supply chains such as Munawar et al [16], Puigjaner et al [40], Bonfill et al [17]. At the same time, some works have been proposed using other types of computational methodologies such as Till et al [18], Majozi and Zhu [19], Ghaeli et al [20].…”

Section: Scenario-based Robust Short-term Operation Planning Approachmentioning

confidence: 99%

A scenario-based robust framework for short-term and long-term operation planning problems

Son

Ryu

Heo³

et al. 2009

Korean J. Chem. Eng.

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This paper discusses a scenario-based scheme to address process operation problems under variations. As an illustration, two typically encountered problems, a short-term operation planning problem and a long term supply chain planning problem, are investigated considering the effect of variations. Their mathematical programming models explicitly reflecting the variations in the form of multiple scenarios with their probabilities are presented to provide robust decisions in the face of variations. It is hoped that the proposed framework can be a reminder of the importance of the scenario-based approach in the current uncertain business circumstances.

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Mixed-integer multiperiod model for the planning of oilfield production

Cited by 34 publications

References 6 publications

Giant oil field decline rates and their influence on world oil production

Giant oil field decline rates and their influence on world oil production

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

A scenario-based robust framework for short-term and long-term operation planning problems

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