Embedded discrete fracture modeling for compositional reservoir simulation using corner-point grids

Xu, Yifei; Fernandes, Bruno Ramon Batista; Marcondes, Francisco; Sepehrnoori, Kamy

doi:10.1016/j.petrol.2019.02.024

Cited by 16 publications

(3 citation statements)

References 30 publications

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“…In addition to the fault handling ability, it is necessary to optimize the performance of the whole fuzzy Petri net discrete dynamic system. In this paper, the dynamic programming method is used to improve the performance optimization of the whole system, and the maximum and minimum algebra methods are used to stimulate the data in the database and construct the functional relationship [27]. Genetic programming (GP) is developed on the basis of genetic algorithm.…”

Section: Research On Fault Detection and Optimization Of English Lear...mentioning

confidence: 99%

Behavior Data Analysis of English Learners Based on Discrete Dynamic System Modeling Method

Hong-li

Gao

2022

Computational Intelligence and Neuroscience

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With the rapid development of computer science, there are more and more kinds of discrete dynamic systems. Computer integrated system CIMS, network communication database administrator system, and human behavior analysis system are all discrete dynamic systems. At present, many researchers have studied by adding human behavior data to discrete dynamic systems. This paper aims to study the behavior data of English learners by using the discrete dynamic modeling technology of complex systems and the discrete dynamic system modeling method of Petri nets. By adding the behavior data of learners to the discrete dynamic system of fuzzy Petri nets, the system is diagnosed and optimized. The experimental results show that the complex discrete dynamic system in this paper has achieved good experimental results according to the performance indicators selected in theory. Based on the combination of the above technologies and systems, the fuzzy Petri net discrete dynamic system studied in this paper improves the processing speed of English learners' behavior data.

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Section: Research On Fault Detection and Optimization Of English Lear...mentioning

confidence: 99%

Behavior Data Analysis of English Learners Based on Discrete Dynamic System Modeling Method

Hong-li

Gao

2022

Computational Intelligence and Neuroscience

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“…Nonplanar fractures are taken into account in [53], where the issue of very small fracture segments is tackled as well to avoid excessive limitations of the timestep and preconditioning problems. In [54] EDFM has been extended to corner-point grids, widely used in the industry to better represent geological features, and to the case of full-permeability-tensors. [52] focuses on geometrical preprocessing, accounting for special limit cases, and proposes a geometrical algorithm to find the intersections between a general polyhedron and a general polygon with the aim of determining the intersections between corner-point cells and fractures.…”

Section: Introductionmentioning

confidence: 99%

Local Embedded Discrete Fracture Model (LEDFM)

Losapio¹,

Scotti²

2022

Preprint

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The study of flow in fractured porous media is a key ingredient for many geoscience applications, such as reservoir management and geothermal energy production. Modelling and simulation of these highly heterogeneous and geometrically complex systems require the adoption of non-standard numerical schemes. The Embedded Discrete Fracture Model (EDFM) is a simple and effective way to account for fractures with coarse and regular grids, but it suffers from some limitations: it assumes a linear pressure distribution around fractures, which holds true only far from the tips and fracture intersections, and it can be employed for highly permeable fractures only. In this paper we propose an improvement of EDFM which aims at overcoming these limitations computing an improved coupling between fractures and the surrounding porous medium by a) relaxing the linear pressure distribution assumption, b) accounting for impermeable fractures modifying near-fracture transmissibilities. These results are achieved by solving different types of local problems with a fine conforming grid, and computing new transmissibilities (for connections between fractures and the surrounding porous medium and those through the porous medium itself near to the fractures). Such local problems are inspired from numerical upscaling techniques present in the literature. The new method is called Local Embedded Discrete Fracture Model (LEDFM) and the results obtained from several numerical tests confirm the aforementioned improvements.

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“…Presently, reservoir simulation has become a customary tool in the area of petroleum engineering which is extensively used for resolving a variety of hydrodynamic fluid problems involved in recovery of oil and gas from the reservoirs. For instance, Xu et al (2019) developed embedded discrete fracture model (EDFM) for compositional reservoir simulation using corner-point grids. Their model proved reliable based on the obtained results, as well as compatible with different types of numerical solution schemes in existing simulators.…”

Section: Introductionmentioning

confidence: 99%

A comparative study between finite difference explicit and implicit method for predicting pressure distribution in a petroleum reservoir

Appau¹,

Dankwa²,

Brantson³

2019

Int. J. Eng. Sci. Tech

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Predicting pressure distribution in a petroleum reservoir is principal to the reservoir's evaluation and maintenance, as pressure changes with space and time. A convenient approach to effectively achieve this task is to formulate fluid flow equations based on the reservoir characteristics and solve them numerically. Numerical method provides solutions to mathematical fluid flow models developed in a reservoir simulation. This study provides numerical solutions, using both finite difference explicit and implicit method, to a mathematical model by developing MATLAB codes to ascertain the pressure distribution for a singlephase, one-dimensional, slightly compressible fluid flow in a petroleum reservoir. Series of numerical simulations were carried out during the first year of production using timestep sizes of 1, 2 and 3 days, respectively. The explicit method gave poor result (negative values for pressures) for timestep of 1 day, an outcome that is not accurate to describe the problem being solved but gave acceptable pressure results for timestep of 2 and 3 days. This shows that the efficacy of the explicit method is reliant on the chosen timestep and simulation time. In contrast, the implicit method gave a quite satisfactory results for all timesteps, and including less than 1 day, confirming the robustness and unconditionally stable nature of the implicit method. A commercial simulator (CMG software) was also employed to build a one-dimensional black oil model to validate the aforesaid results of which a close match was observed between the simulator results and the numerical solutions. This study provides insights to reservoir's pressure profile during hydrocarbon recovery beforehand so that efficient pressure maintenance decisions can be made to achieve economic hydrocarbon recovery throughout the life of the reservoir.

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Embedded discrete fracture modeling for compositional reservoir simulation using corner-point grids

Cited by 16 publications

References 30 publications

Behavior Data Analysis of English Learners Based on Discrete Dynamic System Modeling Method

Behavior Data Analysis of English Learners Based on Discrete Dynamic System Modeling Method

Local Embedded Discrete Fracture Model (LEDFM)

A comparative study between finite difference explicit and implicit method for predicting pressure distribution in a petroleum reservoir

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