A New Analytical Model for the SAGD Production Phase

Nukhaev, Marat; Pimenov, V.; Shandrygin, Alexander; Tertychnyi, Vladimir

doi:10.2118/102084-ms

Cited by 32 publications

(8 citation statements)

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“…Based on the experimental observations, Butler firstly proposed a SAGD simulation model, and he divided the SAGD production process into a rising steam chamber phase and a laterally-expanding steam chamber phase (also called the depletion phase). Then, based on Bulter's model, many models are developed for SAGD process (Reis 1993;Nukhaev et al 2006;Vanegas et al 2008;Alali et al 2009). But most of these models are analytical or semi-analytical.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Correlation to Predict the SAGD Recovery Performance

Dong

Liu

Hou

et al. 2015

SPE/IATMI Asia Pacific Oil &Amp; Gas Conference and Exhibition

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The prediction of the recovery performance for Steam-Assisted-Gravity-Drainage (SAGD) process is becoming increasingly important as the SAGD projects all over the world continue to increase. The prediction of SAGD recovery performance should go back to the theory basis developed by Butler (1978). Afterwards, based on his model, many modified models are proposed. But most of these models are analytical or semi-analytical methods, and the predicting process is much complicated. In particular for the SAGD projects in some irregular thick heavy oil reservoir, it will be a hard work. Thus, a quick and easy method is needed to screen the heavy oil reservoirs for potential SAGD project.In this study, based on the grey system theory, we developed a weighted grey correlation model firstly. Through this model, aiming at a typical thick heavy oil reservoir from Bohai offshore oilfield, China, the influences of reservoir/fluid parameters and operation parameters on SAGD recovery performance were comprehensively evaluated. And a sensitive sequence of each parameter was derived to reflect the sensitive degree. Thus a static multi-parameter nonlinear correlation is proposed to predict the oil recovery, recovery rate and cumulative oil-steam ratio (COSR) of SAGD process. Then, this correlation is used to predict the SAGD recovery performance in some potential thick heavy oil reservoirs of Bohai oilfield and the results is compared against the numerical simulation model. During this process, we also make a survey on the successful SAGD projects around the world and analyze the development features. Through the modification to the proposed correlation above, it is validated.From the simulation results, it is indicated that the SAGD recovery performance is more sensitive to the parameters of reservoir thickness, permeability (including horizontal and vertical), net-to-gross value and steam chamber pressure. Based on the gray related degrees and the sensitivity results, we proposed a six parameters nonlinear correlation to predict the recovery indicators of SAGD process. Thus, using this correlations, the recovery performance of several SAGD projects are predicted, and the correlation results are in good agreement with those obtained from numerical simulation. The prediction error of recovery factor and COSR is controlled within 10%. Furthermore, from the validation results, we found after a modification process, our correlation could be used. Our correlation is a static method to predict the recovery performance of SAGD process in heavy oil reservoir, and it could be used to successfully predict the recovery performance of SAGD projects in heavy oil reservoirs. Through the utilization of this correlation, the SAGD recovery performance in candidate oil reservoirs could be rapidly obtained.

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Section: Introductionmentioning

confidence: 99%

An Empirical Correlation to Predict the SAGD Recovery Performance

Dong

Liu

Hou

et al. 2015

SPE/IATMI Asia Pacific Oil &Amp; Gas Conference and Exhibition

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“…The relation between horizontal and vertical permeability is expressed as: ) where K γ = permeability in the slice with angle γ It is assumed that steam chamber will move from one slice to the other when it sweeps the first front slice; therefore, time steps (∆t) is calculated based on this approach from one location to the next and at each time step, oil saturation is updated in each slice: (5) [ ] (6) Energy Balance to Calculate Steam Injection Rate…”

Section: Modified Drainage Model -Model Of Slicesmentioning

confidence: 99%

“…Although the theory developed later by Butler and his team from time to time to consider more aspects of SAGD, the foundation of the theory in which geomechanics has been ignored didn't change. Other than Butler, more researchers such as Reis 2 , Akin 3 , Liang 4 , and Nukhaev et al 5 have worked on different techniques and have proposed their models, but they do follow the same approach as Butler did. By other words, none of the models consider geomechanics as an important aspect of SAGD physics.…”

Section: Introductionmentioning

confidence: 99%

A Mathematical Solution to Consider Geomechanics in SAGD Process

Azad

Chalaturnyk

2009

Canadian International Petroleum Conference

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Steam Assisted Gravity Drainage (SAGD) process is a steam drive technique which is predominantly used forAlberta's unconventional reservoirs. Butler was the first researcher who proposed this technique and developed a theory to predict SAGD's performance and production. Although his theory is fast enough in terms of calculation speed for primary estimation of SAGD projects, it over-estimates the production and does not consider geomechanics. Many studies have proven now that geomechanics is inevitably a part of physics in this process.In this study, a classical theory of geotechnical engineering is employed to support the geomechanical part of a coupled simulator. Butler theory is also modified using model of slices to be a more realistic drainage model as a flow simulator. Combining these two models is able to solve fully coupled analytical analysis which has been presented in this paper. The solver is a fast and realistic proxy and can be used in any fast history matching and handling real-time data in future SAGD fields.

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“…Most researchers have concentrated on the development of the steam chamber after it reaches the cap rock (Akin, 2006;Ito and Suzuki, 1999;Liang, 2005;Nukhaev et al, 2006). Butler et al (1979) first proposed the concept of SAGD and derived equations that predict the rate of drainage of heavy oil during the stage of lateral steam chamber expansion.…”

Section: Introductionmentioning

confidence: 99%

A steam rising model of steam-assisted gravity drainage production for heavy oil reservoirs

Nie

Wang

Kang

et al. 2019

Energy Exploration & Exploitation

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The steam chamber rising process is an essential feature of steam-assisted gravity drainage. The development of a steam chamber and its production capabilities have been the focus of various studies. In this paper, a new analytical model is proposed that mimics the steam chamber development and predicts the oil production rate during the steam chamber rising stage. The steam chamber was assumed to have a circular geometry relative to a plane. The model includes determining the relation between the steam chamber development and the production capability. The daily oil production, steam oil ratio, and rising height of the steam chamber curves influenced by different model parameters were drawn. In addition, the curve sensitivities to different model parameters were thoroughly considered. The findings are as follows: The daily oil production increases with the steam injection rate, the steam quality, and the degree of utilization of a horizontal well. In addition, the steam oil ratio decreases with the steam quality and the degree of utilization of a horizontal well. Finally, the rising height of the steam chamber increases with the steam injection rate and steam quality, but decreases with the horizontal well length. The steam chamber rising rate, the location of the steam chamber interface, the rising time, and the daily oil production at a certain steam injection rate were also predicted. An example application showed that the proposed model is able to predict the oil production rate and describe the steam chamber development during the steam chamber rising stage.

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A New Analytical Model for the SAGD Production Phase

Cited by 32 publications

References 0 publications

An Empirical Correlation to Predict the SAGD Recovery Performance

An Empirical Correlation to Predict the SAGD Recovery Performance

A Mathematical Solution to Consider Geomechanics in SAGD Process

A steam rising model of steam-assisted gravity drainage production for heavy oil reservoirs

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