A New In-Situ Combustion Simulator for Parallel Computers

He, Ruijian; Yang, Bo; Liu, Hui; Chen, Zhangxin

doi:10.48550/arxiv.1811.11992

Cited by 2 publications

(5 citation statements)

References 46 publications

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“…The mass transfer functions between the cells in the VCT are proportional to the three-phase relative permeability, so that the entire VCT is a numerical sampling scheme for a model of a one-dimensional multicomponent multiphase reactive flow in a porous medium. This scheme is relatively simple, numerically efficient, and allows for the simulation of a large number of reactions and phase equilibria within a relatively short time [93]. The considered numerical model was modified and improved by revising the set of basic reactions by supplementing them with a high-temperature oxidation reaction of secondary light fractions of light oil.…”

Section: Combustion Of Cokementioning

confidence: 99%

Recent Advances in the Study of In Situ Combustion for Enhanced Oil Recovery

et al. 2023

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Global estimates for our remaining capacity to exploit developed oil fields indicate that the currently recoverable oil (light oil) will last for approximately 50 years. This necessitates the development of viscous and superviscous oil fields, which will further compensate for the loss of easily produced oil. In situ combustion is the most promising production method, which allows for increased oil recovery from a reservoir. This being the case, this study provides an overview of global trends regarding the research and implementation of the method under consideration, in order to promote understanding of its applicability and effectiveness. The background to the development of the method is discussed in detail, illustrating the growing interest of researchers in its study. Cases of both successful as well as inefficient implementations of this method in real oil fields are considered. The main focus of the article is to investigate the influence of the parent rock and catalysts on the combustion process, as this is a new and actively developing area in the study of enhanced oil recovery using in situ combustion. Geological surveys, in addition to experimental and numerical studies, are considered to be the main methods that are used to investigate processes during in situ combustion. The analysis that we carried out led us to understand that the processes which occur during the combustion of heavy oil are practically unpredictable and, therefore, poorly understood. The specificity of the oil composition under consideration depends on the field, which can lead to a change in the required temperature regimes for its production. This indicates that there exists multiple specific applications for the method under consideration, each requiring additional full studies into both the fractional composition of oil and its reservoirs. The article also considers various technologies for implementing the in situ combustion method, such as ND-ISC, THAITM, COSH, CAGD, and SAGD. However, the literature review has shown that none of the technologies presented is widely used, due to the lack of an evidence base for their successful application in the field. Moreover, it should be noted that this method has no limits associated with the oil occurrence depth. This technology can be implemented in thin reservoirs, as well as in flooded, clayey, sandy, and carbonate reservoirs. The review we have presented can be considered as a guide for further research into the development of global solutions for using the proposed method.

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Section: Combustion Of Cokementioning

confidence: 99%

Recent Advances in the Study of In Situ Combustion for Enhanced Oil Recovery

et al. 2023

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“…For the sake of completeness, the mathematical model of the thermal simulator is introduced here, and the models are almost the same as reference [40,67,68]. The content of this section is borrowed from our previous manuscript [1] and CMG STARS [40]. In reference [1], the following assumptions were made: water component exists in water and gas phases, all oil components exist in oil and gas phases, non-condensable gas components exist in gas phase only, and all three phases co-exist during the entire simulation.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…The content of this section is borrowed from our previous manuscript [1] and CMG STARS [40]. In reference [1], the following assumptions were made: water component exists in water and gas phases, all oil components exist in oil and gas phases, non-condensable gas components exist in gas phase only, and all three phases co-exist during the entire simulation. In this paper, different assumptions are made: the water component exists in water and gas phases, heavy oil components exist in oil phase only, light oil components exist in both oil and gas phases, non-condensable gas components exist in gas phase.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Depending on the input, arbitrary oil components and non-condensable gas components are allowed. Necessary changes have been made to address the difference between the in-situ combustion model [1] and the thermal model applied here.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Example 2 This model is similar as Example 1 except that a light oil component is added and the well operations are changed. It has five vertical wells: one injection well in the center (5,5), and four production wells in four corners, (1,1), (1,9), (9, 1) and (9,9). The bottom hole pressure of the injection well, water rate and oil rate of each well are shown from Figure 48 Figure 48 is the bottom hole pressure of the injection well.…”

Section: Heavy Oil and Light Oilmentioning

confidence: 99%

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A Scalable Thermal Reservoir Simulator for Giant Models on Parallel Computers

Liu,

Chen

2018

Preprint

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This paper introduces the model, numerical methods, algorithms and parallel implementation of a thermal reservoir simulator that designed for numerical simulations of thermal reservoir with multiple components in three dimensional domain using distributed-memory parallel computers. Its full mathematical model is introduced with correlations for important properties and well modeling. Various well constraints, such as fixed bottom hole pressure, fixed oil, water, gas and liquid rates at surface condition and reservoir condition, constant heat transfer model, convective heat transfer model, heater model (temperature control, rate control, dual rate/temperature control), and subcool (steam trap), are introduced in details, including their mathematical models and methods. Efficient numerical methods (discretization scheme, matrix decoupling methods, and preconditioners), parallel computing technologies and implementation details are presented, including option parsing, keyword parsing, parallel IO (input and output), data management and visualization. The simulator is designed for giant models with billions or even trillions of grid blocks using hundreds of thousands of CPUs. Numerical experiments show that our results match commercial simulators, which confirms the correctness of our methods and implementations. SAGD simulation with 15106 well pairs is also presented to study the effectiveness of our numerical methods. Scalability testings demonstrate that our simulator can handle giant models with 216 billion grid blocks using 100,800 CPU cores and the simulator has good scalability.

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A New In-Situ Combustion Simulator for Parallel Computers

Cited by 2 publications

References 46 publications

Recent Advances in the Study of In Situ Combustion for Enhanced Oil Recovery

Recent Advances in the Study of In Situ Combustion for Enhanced Oil Recovery

A Scalable Thermal Reservoir Simulator for Giant Models on Parallel Computers

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