A new semi-analytical modeling of steam-assisted gravity drainage in heavy oil reservoirs

Alali, Najeh; Pishvaie, Mahmoud Reza; Jabbari, Hadi

doi:10.1016/j.petrol.2009.09.003

Cited by 29 publications

(10 citation statements)

References 6 publications

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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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“…Reis [43,44] reflected the change of the interface velocity by adding an empirical constant in the Butler's equation. Alali et al [45] suggested a semi-analytical model of unsteady state flow SAGD model.…”

Section: Parameterization Of Multi-objective Problemmentioning

confidence: 99%

Quick Screening of Pareto-Optimal Operating Conditions for Expanding Solvent–Steam Assisted Gravity Drainage Using Hybrid Multi-Objective Optimization Approach

2017

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Solvent-steam mixture is a key factor in controlling the economic efficiency of the solvent-aided thermal injection process for producing bitumen in a highly viscous oil sands reservoir. This paper depicts a strategy to quickly provide trade-off operating conditions of the Expanding Solvent-Steam Assisted Gravity Drainage (ES-SAGD) process based on Pareto-optimality. Response surface models are employed to evaluate multiple ES-SAGD scenarios at low computational costs. The surrogate models play a role of objective-estimators in the multi-objective optimization that provides qualified ES-SAGD scenarios regarding bitumen recovery, steam-energy efficiency, and solvent-energy efficiency. The developed hybrid approach detects positive or negative correlations among the performance indicators of the ES-SAGD process. The derived Pareto-optimal operating conditions give flexibility in field development planning and thereby help decision makers determine the operating parameters of the ES-SAGD process based on their preferences.

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“…Optimization of well trajectories was achieved using proxies that included injector constraints and automatic calibration of their results [14]. Alali et al [15], on the other hand, developed a new calculation for the drainage rate based on Butler's TANDRAIN theorem. Formulation of transient temperature distribution ahead of oil-steam interface; estimation of interface position; and indirect formulation to evaluate the interface velocity were also included in their work.…”

Section: Near-wellbore Modelingmentioning

confidence: 99%

“…So far, developments of analytical models for the SAGD process have already been reported to describe the phenomena of fluid flow, and heat and mass transfer as well as the effects of reservoir properties and temperature [15,28]. There were also works that have developed computational models by specifying the workflow pattern based on analytical and semi-analytical/empirical models [11].…”

Section: Simulation Software Model Based On Phenomenon Featuresmentioning

confidence: 99%

“…This model can then be incorporated with others that have already been developed for the flow through porous media (such as those based on Darcy's model), and temperature dependence and distribution (the steam chamber front velocity and location) [15]. The UML relationship design softw this work wo to the concep vector shown in the figure does not list all the parameters that will be used as inputs but rather shows the ones that are part of the reservoir properties, and input steam.…”

Section: Simulation Software Model Based On Phenomenon Featuresmentioning

confidence: 99%

See 1 more Smart Citation

Design of a Simulation Tool for Steam Assisted Gravity Drainage: Based on the Concept of Unified Feature Modeling Scheme

Yusuf¹,

Ma²

2016

JMEA

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CPS (cyber-physics system) engineering brings new revolutionary opportunities for multi-disciplinary and complex processes, like oil extraction from oil sands. Based on an established unified feature modeling scheme, a software modeling framework to simulate the process of SAGD (steam-assisted gravity drainage) is proposed. The main purpose of this work was to apply CPS in the complex production engineering informatics modeling as it applied to SAGD. Existing physics models and simulation algorithms for main SAGD phenomena were reviewed, and an integrated ontology model via a feature-based approach has been developed. Conservation laws were used as the governing principles, while the transport phenomena were modelled via the primary phenomenon features. The representation of typical data flows targeting to the functional simulation scenarios by applying the concept of phenomenon features was also done. The definition of this feature type represents a new expansion of the emerging unified feature scheme for engineering software modeling. Slotted liners were taken as the well-completion option and their design and specifications were included in the case study model. The unique representation of the planned software design is developed and expressed with graphical diagrams of the UML (unified modelling language) convention.

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A new semi-analytical modeling of steam-assisted gravity drainage in heavy oil reservoirs

Cited by 29 publications

References 6 publications

An Empirical Correlation to Predict the SAGD Recovery Performance

An Empirical Correlation to Predict the SAGD Recovery Performance

Quick Screening of Pareto-Optimal Operating Conditions for Expanding Solvent–Steam Assisted Gravity Drainage Using Hybrid Multi-Objective Optimization Approach

Design of a Simulation Tool for Steam Assisted Gravity Drainage: Based on the Concept of Unified Feature Modeling Scheme

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