Numerical reservoir characterization using dimensionless scale numbers with application in upscaling

Novakovic, Djuro

doi:10.31390/gradschool_dissertations.443

Cited by 9 publications

(1 citation statement)

References 72 publications

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“…and its connection with the traditional number * Ga is presented as *= ⋅ Ga Ga Re. On the other hand, when simulating oil displacement [124], the same ratio of forces is called the gravitation number,…”

Section: Dns As the Ratio Of More Than Two Forcesmentioning

confidence: 99%

Transport phenomena and dimensionless numbers: towards a new methodological approach

2017

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This review presents a new methodical approach to the classification of dimensionless numbers as pair relationships of the main forces controlling transport phenomena in fluids at the macroscopic level by using a tabulated form. To memorize the transfer numbers at the molecular level a rule in the form of a mnemonic triangle is suggested. The structure of some traditional dimensional numbers presented as the ratio of more than two forces, or the ratio of a force to a geometric mean of two other ones, is also discussed. A classification of natural convection as the interaction of body forces and surface forces, taking into account that sensitive to the force field the fluid density and the surface tension depends on temperature or composition, is presented.

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Section: Dns As the Ratio Of More Than Two Forcesmentioning

confidence: 99%

Transport phenomena and dimensionless numbers: towards a new methodological approach

2017

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Numerical simulation of distributed dynamic systems using hybrid intelligent computing combined with generalized similarity analysis

Bellamine

Almansoori²,

Elkamel

2013

Applied Mathematics and Computation

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Can Simulation Models Validated with Waterflooding Data Reliably Predict Three Phase Flow Processes of Gas and WAG Flooding?

Al-Harbi¹,

Ghedan

Brantferger³

et al. 2012

Abu Dhabi International Petroleum Conference and Exhibition

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Several giant carbonate reservoirs have undergone decades of waterflooding, and are now transitioning to EOR recovery processes. Simulation models that were calibrated via history matching while undergoing a waterflood (i.e.two phase flow performance) are utilized now to predict three phase flow performance encountered with EOR processes. How reliable are these predictions? Are they accurate enough to be used for business decisions? In this work, validity and reliability of simulation models, that has been history matched by two-phase flow processes of water flooding, to predict the performance of three-phase flow of WAG processes was assessed. To accomplish study objective, fine grid of two 5-spot sectors model was built and then upscaled. Upscaled model was then history matched to the results obtained from the fine model using water flooding data and utilizing pseudo functions data. The resulted cases as well as the fine model were then taken to prediction to estimate the performance of three-phase flow of gas and WAG processes. Results of fine and coarse models were then analyzed and compared to draw conclusions on the reliability of the coarse models to match the predicted results of the reference model of the fine simulation model.

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Numerical reservoir characterization using dimensionless scale numbers with application in upscaling

Cited by 9 publications

References 72 publications

Transport phenomena and dimensionless numbers: towards a new methodological approach

Transport phenomena and dimensionless numbers: towards a new methodological approach

Numerical simulation of distributed dynamic systems using hybrid intelligent computing combined with generalized similarity analysis

Can Simulation Models Validated with Waterflooding Data Reliably Predict Three Phase Flow Processes of Gas and WAG Flooding?

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