[HTML][HTML] Evaluation of tieback developments for marginal oil fields with timing flexibility
S Fedorov, V Hagspiel, RWH Rogstad, S Haseldonckx… - Energy Economics, 2024 - Elsevier
The average size of new oil discoveries on the Norwegian Continental Shelf (NCS) is
steadily decreasing. As standalone developments are often not economically viable for …
steadily decreasing. As standalone developments are often not economically viable for …
[HTML][HTML] Mature offshore oil field development: Solving a real options problem using stochastic dual dynamic integer programming
Oil and gas companies are facing low output prices and are forced to focus on the
development of mature fields. Relevant investment decisions for operators include lifetime …
development of mature fields. Relevant investment decisions for operators include lifetime …
[HTML][HTML] Sequential production of two oil fields with an option to switch
S Fedorov, MN Amar, V Hagspiel, T Lerdahl - Journal of Petroleum Science …, 2022 - Elsevier
Re-using existing infrastructure has become a standard approach for the development of
marginal offshore oil fields. Many small discoveries are, however, located in remote areas or …
marginal offshore oil fields. Many small discoveries are, however, located in remote areas or …
Fuzzy pay-off method for real options: The center of gravity approach with application in oilfield abandonment
REP Borges, MAG Dias, ADD Neto, A Meier - Fuzzy Sets and Systems, 2018 - Elsevier
This paper presents the CoG-FPOM, an adaptation of the Fuzzy Pay-Off Method (FPOM).
The FPOM is a scenario-based real option valuation method that uses fuzzy numbers as …
The FPOM is a scenario-based real option valuation method that uses fuzzy numbers as …
[HTML][HTML] Real options approach for a staged field development with optional wells
S Fedorov, V Hagspiel, T Lerdahl - Journal of Petroleum Science and …, 2021 - Elsevier
With the decreasing average size of new discoveries in mature production areas, the
uncertainties in the base of oil field investment decisions are continually increasing. Fewer …
uncertainties in the base of oil field investment decisions are continually increasing. Fewer …
[HTML][HTML] A multi-objective decision-making framework for the choice between mutually exclusive alternatives under uncertainty: Assessing the competitiveness of …
D Aghajani, RB Bratvold, V Hagspiel, O Noshchenko… - Energy Economics, 2025 - Elsevier
Due to rising concerns about climate change and anticipated energy demand increase the
Norwegian government advocates for floating offshore wind to decarbonize its oil and gas …
Norwegian government advocates for floating offshore wind to decarbonize its oil and gas …
Sequential exploration: valuation with geological dependencies and uncertain oil prices
B Jafarizadeh, R Bratvold - SPE Journal, 2020 - onepetro.org
When exploring nearby prospects in a common area, the outcome of drilling a well can
change the chance of success in nearby prospects, affecting their economics and drilling …
change the chance of success in nearby prospects, affecting their economics and drilling …
Oil and gas exploration valuation and the value of waiting
B Jafarizadeh, RB Bratvold - The Engineering Economist, 2015 - Taylor & Francis
The timing flexibility of investments in oil and gas assets can potentially add value. In this
article, we examine the value of waiting in exploration projects and propose a real option …
article, we examine the value of waiting in exploration projects and propose a real option …
Risk premia in commodity price forecasts and their impact on valuation
WJ Hahn, JA DiLellio, JS Dyer - Energy Economics, 2018 - Elsevier
Commodity price driven valuation models require a stochastic price input if the value of
managerial flexibility, such as the option to defer investment until the optimal time and the …
managerial flexibility, such as the option to defer investment until the optimal time and the …
An exposition of least square Monte Carlo approach for real options valuation
R Ahmadi, RB Bratvold - Geoenergy Science and Engineering, 2023 - Elsevier
Abstract The least square Monte Carlo simulation (LSM) approach is a state-of-the-art
approach built upon approximate dynamic programming for the selection of single or …
approach built upon approximate dynamic programming for the selection of single or …