Rate-time forecasting of gas reservoirs with significant transient flow: A density-based method

Vardcharragosad, Pichit; Ayala, Luis F.

doi:10.1016/j.juogr.2015.05.003

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…In addition, some researchers [28,29] employ the timedependent dimensionless viscosity-compressibility ratio λ, the time-averaged λ (i.e., λ), and gas density to approximately and successfully linearize the density-diffusivity equation for unsteady state analysis of natural gas reservoirs. This density-based approach, in fact, can be expressed as the counterpart mathematically equivalent to the pseudofunctionbased approach for the gas flow diffusivity equation.…”

Section: Mathematical Model Of Gas Flow Through Porous Mediamentioning

confidence: 99%

Dynamic Material Balance Method for Estimating Gas in Place of Abnormally High-Pressure Gas Reservoirs

Zhang

Guo

et al. 2021

Lithosphere

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Determination of gas in place (GIP) is among the hotspot issues in the field of oil/gas reservoir engineering. The conventional material balance method and other relevant approaches have found widespread application in estimating GIP of a gas reservoir or well-controlled gas reserves, but they are normally not cost-effective. To calculate GIP of abnormally pressured gas reservoirs economically and accurately, this paper deduces an iteration method for GIP estimation from production data, taking into consideration the pore shrinkage of reservoir rock and the volume expansion of irreducible water, and presents a strategy for selecting an initial iteration value of GIP. The approach, termed DMBM-APGR (dynamic material balance method for abnormally pressured gas reservoirs) here, is based on two equations: dynamic material balance equation and static material balance equation for overpressured gas reservoirs. The former delineates the relationship between the quasipressure at bottomhole pressure and the one at average reservoir pressure, and the latter reflects the relationship between average reservoir pressure and cumulative gas production, both of which are rigidly demonstrated in the paper using the basic theory of gas flow through porous media and material balance principle. The method proves effective with several numerical cases under various production schedules and a field case under a variable rate/variable pressure schedule, and the calculation error of GIP does not go beyond 5% provided that the production data are credible. DMBM-APGR goes for gas reservoirs with abnormally high pressure as well as those with normal pressure in virtue of its strict theoretical foundation, which not only considers the compressibilities of rock and bound water, but also reckons with the changes in production rate and variations of gas properties as functions of pressure. The method may serve as a valuable and reliable tool in determining gas reserves.

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Section: Mathematical Model Of Gas Flow Through Porous Mediamentioning

confidence: 99%

Dynamic Material Balance Method for Estimating Gas in Place of Abnormally High-Pressure Gas Reservoirs

Zhang

Guo

et al. 2021

Lithosphere

View full text Add to dashboard Cite

show abstract

“…The constant CR lacks a unified value and has been a topic of research ongoing throughout the years [26,27,28]. Its non-uniqueness nature also leads to uncertainties of the calculated cumulative production (rate) history during infinite-acting period, affecting the overall material balance at the onset of late-time period [29] and consequently, the entire type curve analysis based on pseudo-time approach. To reduce uncertainty in the type curve analysis, it is imperative to seek out a unified solution able to continuously model the flow period sequence evidenced in MFHWs as well as with capabilities to rigorously honor the nonlinear nature of gas transport.…”

Section: Introductionmentioning

confidence: 99%

“…rigorously derived a correction factor based on the corrected pseudo-time transformation within the DOI. Vardcharragosad et al[29] used a density-based approach coupled with DOI and proposed a new method to estimate x f √ k…”

mentioning

confidence: 99%

Green’s function-based type curves for multi-fractured horizontal gas wells in unconventional reservoirs

Garcez

Ayala

2022

Fuel

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A New Method for Estimating Gas Reserves Using Production Data and Pseudovariables

Zhang¹,

Li²,

Xiao³

et al. 2022

Proceedings of the International Field Exploration and Development Conference 2021

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Rate-time forecasting of gas reservoirs with significant transient flow: A density-based method

Cited by 3 publications

References 31 publications

Dynamic Material Balance Method for Estimating Gas in Place of Abnormally High-Pressure Gas Reservoirs

Dynamic Material Balance Method for Estimating Gas in Place of Abnormally High-Pressure Gas Reservoirs

Green’s function-based type curves for multi-fractured horizontal gas wells in unconventional reservoirs

A New Method for Estimating Gas Reserves Using Production Data and Pseudovariables

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