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Multicriteria modeling and tradeoff analysis for oil load dispatch and hauling operations at Noble Energy

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Multicriteria modeling and tradeoff analysis for oil load dispatch and hauling operations at Noble Energy. / Engau, Alexander.
In: Optimization and Engineering, Vol. 16, No. 1, 03.2015, p. 73-101.

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Engau A. Multicriteria modeling and tradeoff analysis for oil load dispatch and hauling operations at Noble Energy. Optimization and Engineering. 2015 Mar;16(1):73-101. Epub 2014 Sept 14. doi: 10.1007/s11081-014-9259-5

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@article{90b0d973dee246a2bb5b2cf999980d32,
title = "Multicriteria modeling and tradeoff analysis for oil load dispatch and hauling operations at Noble Energy",
abstract = "Noble Energy produces and sells tens of thousands of barrels of oil a day in the Wattenberg field in northeastern Colorado, one of the largest natural gas deposits in the United States. This paper describes a new mathematical model that was built and implemented to support the company{\textquoteright}s business decisions regarding its current and future sales, dispatch, and transportation operations. The corresponding multicriteria optimization model is formulated and solved as a multi-period, multi-objective mixed-integer program that considers the maximization of revenue and sales, and the avoidance of temporary production shut-ins and sell-outs to guarantee long-term contractual obligations with its partnering well owners, haulers, and markets. A theoretical tradeoff analysis is presented to validate model decisions with current operational practice, and a small computational case study on an original data set demonstrates the use of this model to find efficient dispatch schedules and gain further insights into the tradeoffs between the different decision criteria.",
keywords = "Oil load dispatch , Production, transportation, and distribution logistics, Multicriteria optimization model, Multiperiod, multiobjective mixed-integer programming , Tradeoff analysis, Computational case study , Wattenberg field, Denver–Julesburg Basin , Noble Energy",
author = "Alexander Engau",
year = "2015",
month = mar,
doi = "10.1007/s11081-014-9259-5",
language = "English",
volume = "16",
pages = "73--101",
journal = "Optimization and Engineering",
issn = "1389-4420",
publisher = "Springer Netherlands",
number = "1",

}

RIS

TY - JOUR

T1 - Multicriteria modeling and tradeoff analysis for oil load dispatch and hauling operations at Noble Energy

AU - Engau, Alexander

PY - 2015/3

Y1 - 2015/3

N2 - Noble Energy produces and sells tens of thousands of barrels of oil a day in the Wattenberg field in northeastern Colorado, one of the largest natural gas deposits in the United States. This paper describes a new mathematical model that was built and implemented to support the company’s business decisions regarding its current and future sales, dispatch, and transportation operations. The corresponding multicriteria optimization model is formulated and solved as a multi-period, multi-objective mixed-integer program that considers the maximization of revenue and sales, and the avoidance of temporary production shut-ins and sell-outs to guarantee long-term contractual obligations with its partnering well owners, haulers, and markets. A theoretical tradeoff analysis is presented to validate model decisions with current operational practice, and a small computational case study on an original data set demonstrates the use of this model to find efficient dispatch schedules and gain further insights into the tradeoffs between the different decision criteria.

AB - Noble Energy produces and sells tens of thousands of barrels of oil a day in the Wattenberg field in northeastern Colorado, one of the largest natural gas deposits in the United States. This paper describes a new mathematical model that was built and implemented to support the company’s business decisions regarding its current and future sales, dispatch, and transportation operations. The corresponding multicriteria optimization model is formulated and solved as a multi-period, multi-objective mixed-integer program that considers the maximization of revenue and sales, and the avoidance of temporary production shut-ins and sell-outs to guarantee long-term contractual obligations with its partnering well owners, haulers, and markets. A theoretical tradeoff analysis is presented to validate model decisions with current operational practice, and a small computational case study on an original data set demonstrates the use of this model to find efficient dispatch schedules and gain further insights into the tradeoffs between the different decision criteria.

KW - Oil load dispatch

KW - Production, transportation, and distribution logistics

KW - Multicriteria optimization model

KW - Multiperiod, multiobjective mixed-integer programming

KW - Tradeoff analysis

KW - Computational case study

KW - Wattenberg field

KW - Denver–Julesburg Basin

KW - Noble Energy

U2 - 10.1007/s11081-014-9259-5

DO - 10.1007/s11081-014-9259-5

M3 - Journal article

VL - 16

SP - 73

EP - 101

JO - Optimization and Engineering

JF - Optimization and Engineering

SN - 1389-4420

IS - 1

ER -