The ACEGES laboratory for energy policy: Exploring the production of crude oil

Voudouris, Vlasios; Stasinopoulos, Dimitrios; Rigby, Robert A.; Maio, Carlo Di

doi:10.1016/j.enpol.2011.05.014

Cited by 28 publications

(10 citation statements)

References 21 publications

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“…[18] used the uniform distribution in order to estimate a modern municipal solid waste landfill life, once the quality of the data did not suffice to adjust the parametric distributions. [19] developed a simulation model based on the uniform distribution in order to adjust the heterogeneity of oil production scenarios around the world. [20] applied the triangular distribution in order to select the cementing method type to be used in a construction work due to its ease of use and supported by technical literature on construction planning.…”

Section: Simulation By Monte Carlo Methodsmentioning

confidence: 99%

Productivity Monitoring of Land Pipelines Welding via Control Chart Using the Monte Carlo Simulation

Tabim¹,

Ferreira²

2015

JSEA

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This article evaluates the efficacy of a tool developed in the Monte Carlo simulation and referred to as control chart. This tool is used in order to detect changes in productivity resulting from the occurrence of a given event during the welding of land pipelines with self shielded flux cored wire (FCAW). The elaboration of this control chart is based on the data from the Cumulative Probability Density Function (CDF) curve, and generated in the Monte Carlo simulation using version 6 of the Palisade Corporation's @Risk software for Excel, in a sample with productivity data from 29 welded joints, gathered through direct observation which considers the productive and unproductive times. In order to evaluate the control chart efficacy, the performance of welding productivity with a FCAW process with low alloy steels has been assessed during 29 days, summing up to 842 welded joints registered on "Relatórios Diários de Obras" (Construction Works Daily Reports). The results show that the model developed for the control chart elaboration is effective in monitoring the productivity of the observed welding procedure.

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Section: Simulation By Monte Carlo Methodsmentioning

confidence: 99%

Productivity Monitoring of Land Pipelines Welding via Control Chart Using the Monte Carlo Simulation

Tabim¹,

Ferreira²

2015

JSEA

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“…Voudouris et al, 2011;McGlade, 2012;Hallock et al, 2014) academia in general has not carried out quantitative examination of global hydrocarbon supply using 2P data since the price fall of 1985. In our view academia will need a better understanding of the problem, and also funding that is outside of current funding-body 'focus' areas, if it is to usefully participate.…”

Section: Policy Implicationsmentioning

confidence: 99%

Explaining the price of oil 1971–2014 : The need to use reliable data on oil discovery and to account for ‘mid-point’ peak

Bentley

2015

Energy Policy

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“…The ACEGES model was developed by Voudouris et al, who designed it for exploratory energy policy (Voudouris et al 2011). They used the model to study oil production and peak oil.…”

Section: Oil Production (Voudouris Et Al 2011)mentioning

confidence: 99%

Putting the Biophysical (Back) in Economics: A Taxonomic Review of Modeling the Earth-Bound Economy

2020

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Economists rarely model the economy as explicitly bound by earth’s ecological systems. Modeling the dynamic interactions of both human and non-human systems is admittedly a challenging task, as it requires expertise from multiple disciplines. Within the last 10 years, a wide variety of research papers have been published that include some biophysical aspects in a model of the economy. These papers all have one thing in common: the model of the economy includes physical and/or energetic exchanges, as well as monetary exchange. This theme is what defines the emerging sub-discipline of biophysical economics, BPE. BPE models of the economy originate from a variety of disciplines, and thus BPE research articles are published across a wide spectrum of academic journals. As inter-disciplinary researchers ourselves, we want to understand what BPE modeling approaches have been used so far. In this paper, we examine and classify over one hundred published articles that use biophysical models of the economy. Although BPE modeling approaches are quite varied, grouping the research by common characteristics reveals several active research areas. We highlight recent papers that are helpful examples of the most popular BPE modeling strategies. Gaps also exist. Several modeling approaches have not been used in published works yet. We identify which of those gaps could be promising avenues for future research. We conclude by suggesting which BPE modeling approach might be particularly appropriate for a variety of research questions.

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The ACEGES laboratory for energy policy: Exploring the production of crude oil

Cited by 28 publications

References 21 publications

Productivity Monitoring of Land Pipelines Welding via Control Chart Using the Monte Carlo Simulation

Productivity Monitoring of Land Pipelines Welding via Control Chart Using the Monte Carlo Simulation

Explaining the price of oil 1971–2014 : The need to use reliable data on oil discovery and to account for ‘mid-point’ peak

Putting the Biophysical (Back) in Economics: A Taxonomic Review of Modeling the Earth-Bound Economy

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