Search Results - "Bratvold, Reidar B"
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Machine learning based decline curve analysis for short-term oil production forecast
Published in Energy exploration & exploitation (01-09-2021)“…Traditional decline curve analyses (DCAs), both deterministic and probabilistic, use specific models to fit production data for production forecasting. Various…”
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Is Reinforcement Learning Good at American Option Valuation?
Published in Algorithms (01-09-2024)“…This paper investigates algorithms for identifying the optimal policy for pricing American Options. The American Option pricing is reformulated as a Sequential…”
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Managing Uncertainty in Geological CO2 Storage Using Bayesian Evidential Learning
Published in Energies (Basel) (01-03-2021)“…Carbon capture and storage (CCS) has been increasingly looking like a promising strategy to reduce CO2 emissions and meet the Paris agreement’s climate target…”
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Exploration economics: taking opportunities and the risk of double-counting risk
Published in Mineral economics : raw materials report (01-11-2019)“…When investing in projects with uncertain outcomes, most companies use a discount rate that reflects their perception of risk and reward. This rate is used in…”
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The Rate-Weight Connected Vectors Processor (RWCVP): A Method for Dealing with Uncertainty in MCDM Problems
Published in 2023 15th International Conference on Computer and Automation Engineering (ICCAE) (03-03-2023)“…This paper introduces the rate-weight connected vectors processor (RWCVP) method to address the lack of multi- criteria decision-making (MCDM) methods in…”
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Conference Proceeding -
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From Uncertainty Quantification to Decision Making in the Oil and Gas Industry
Published in Energy exploration & exploitation (01-10-2008)“…In this paper, we present the findings of a large (N = 494) survey of oil and gas professionals that addressed the following two questions: Has uncertainty…”
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Debiasing probabilistic oil production forecasts
Published in Energy (Oxford) (01-11-2022)“…Exploration and production companies in the hydrocarbon industry have every interest in producing unbiased production forecasts at the time of the investment…”
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Project Economics in the Big-Bets Industry: The Integrated Valuation in Practice
Published in Journal of petroleum science & engineering (01-02-2021)“…Value creation from petroleum projects is uncertain. Yet, even with great odds of failure, companies increasingly take on these ventures. Here, no analytics…”
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A sequential decision and data analytics framework for maximizing value and reliability of CO2 storage monitoring
Published in Journal of natural gas science and engineering (01-12-2021)“…Carbon capture and sequestration (carbon capture and storage or CCS) represents a unique potential strategy that can minimize CO2 emissions in the atmosphere,…”
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Application of machine learning to assess the value of information in polymer flooding
Published in Petroleum Research (01-12-2021)“…In this work, we provide a more consistent alternative for performing value of information (VOI) analyses to address sequential decision problems in reservoir…”
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Hot spot hunting: Optimising the staged development of shale plays
Published in Journal of petroleum science & engineering (01-01-2017)“…The development of unconventional plays tends to unfold in many stages, each of which involves incremental investment and a reduction in the geological…”
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Copulas: A new technique to model dependence in petroleum decision making
Published in Journal of petroleum science & engineering (01-05-2007)“…A key step in valuing petroleum investment opportunities is to construct a model that portrays the uncertainty inherent in the investment decision. In almost…”
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