Flow Simulation Using Local Grid Refinements to Model Laminated Reservoirs

Correia, Manuel Gomes; Maschio, Célio; Schiozer, Denis José

doi:10.2516/ogst/2017043

Cited by 9 publications

(5 citation statements)

References 23 publications

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“…3.1 Green steps 1. Reservoir characterization under uncertainties (to build models, develop scenarios, and estimate probabilities) (Correia et al, 2015(Correia et al, , 2018a(Correia et al, , 2018bMahjour et al, 2019). This crucial step requires a multidisciplinary approach to consider all possible uncertainties: reservoir, fluid, economic, and operational attributes.…”

Section: Methodsmentioning

confidence: 99%

Model-based decision analysis applied to petroleum field development and management

Schiozer

Santos

et al. 2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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This work describes a new methodology for integrated decision analysis in the development and management of petroleum fields considering reservoir simulation, risk analysis, history matching, uncertainty reduction, representative models, and production strategy selection under uncertainty. Based on the concept of closed-loop reservoir management, we establish 12 steps to assist engineers in model updating and production optimization under uncertainty. The methodology is applied to UNISIM-I-D, a benchmark case based on the Namorado field in the Campos Basin, Brazil. The results show that the method is suitable for use in practical applications of complex reservoirs in different field stages (development and management). First, uncertainty is characterized in detail and then scenarios are generated using an efficient sampling technique, which reduces the number of evaluations and is suitable for use with numerical reservoir simulation. We then perform multi-objective history-matching procedures, integrating static data (geostatistical realizations generated using reservoir information) and dynamic data (well production and pressure) to reduce uncertainty and thus provide a set of matched models for production forecasts. We select a small set of Representative Models (RMs) for decision risk analysis, integrating reservoir, economic and other uncertainties to base decisions on risk-return techniques. We optimize the production strategies for (1) each individual RM to obtain different specialized solutions for field development and (2) all RMs simultaneously in a probabilistic procedure to obtain a robust strategy. While the second approach ensures the best performance under uncertainty, the first provides valuable insights for the expected value of information and flexibility analyses. Finally, we integrate reservoir and production systems to ensure realistic production forecasts. This methodology uses reservoir simulations, not proxy models, to reliably predict field performance. The proposed methodology is efficient, easy-to-use and compatible with real-time operations, even in complex cases where the computational time is restrictive.

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Section: Methodsmentioning

confidence: 99%

Model-based decision analysis applied to petroleum field development and management

Schiozer

Santos

et al. 2019

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…Furthermore, the same authors developed a work in 2018 (Correia et al, 2018) integrating the LGR technique in high permeability layers ("super-k" layers) besides the well locations. They associate the LGR with upscaling techniques to better represent highly laminated and fractured reservoirs in the flow simulation.…”

Section: Well Calibration In Simulation Models Of Nfrmentioning

confidence: 99%

“…(5.2) It is concluded that the well static and dynamic data are impacted by the DFN permeability upscaling method and the grid-scale. Consequently, these aspects can affect the reservoir development and management phase or mask the reservoir characterization uncertainties (Correia et al, 2018;Ahmed-Elfeel and Geiger, 2012). Therefore, it is important to carry out a deeper fracture system study when setting new wells in DK simulation models, analyzing the appropriate DFN upscaling method and fidelity scale.…”

Section: Summary Of Well Static and Dynamic Data Analysismentioning

confidence: 99%

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Well representation in simulation models of naturally fractured reservoirs considering the impact of DFN upscaling

Magalhães de Oliveira

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The study of naturally fractured reservoirs (NFR) is complex and has many challenges in reservoir modeling and simulation, requiring non-conventional techniques. The use of Discrete Fracture Networks (DFN) to build dual permeability (DK) simulation models has been one of the processes applied. The main objectives of this work are (1) to evaluate the impact of DFN upscaling methods on new wells placed in the model and (2) develop a proposal for wellrepresentation for new wells in simulation models of NFR. Three DFN permeability-upscaling methods at three model fidelities (high, medium-high, and medium fidelity) and the concept of Characteristic Flow Unit (CFU) were used. The upscaling methods applied were the Oda, Oda Corrected and Flow-based with four boundary conditions. The work was focused in three main steps: (1) to observe the differences in static and dynamic well parameters when changing the upscaling method and fidelity scales; (2) to test well calibration methodologies in a coarse grid by considering the previous step conclusions, and (3) to test the different DFN upscaling methods at a field scale to evaluate the impact on predicted field production. The main results for the first step suggested more uncertainty of well dynamic data in medium fidelity models and showed that the Oda method is the most sensitive to the grid-block scale change. Otherwise, combining the high-fidelity scale with the flow-based upscaling (linear pressure) tended to provide less variation in well flow rate and BHP, which led to the use of this model as the reference case for the second step analysis. Among the tested methodologies, the producer and injector well calibration was achieved with the substitution of their well index (WI) in the matrix and fracture systems by the reference model's WI. The field scale application showed a significant impact of the DFN upscaling method in the short-term production forecast, decreasing in impact as the production time increases. The results show that if the DFN permeability upscaling method variabilities are not considered when placing new wells in DK models, the reservoir development and management phase can be significantly affected. The proposed well representation utilizing a WI based on the flow-based method showed promising results to reduce the impact of DFN upscaling methods in the well's production and injection forecast for medium-fidelity models. This work presents an investigation of a possible wellrepresentation approach for simulation models of naturally fractured reservoirs, providing for real field cases a better representation of injection and production forecast related to fault and fracture inclusion, when utilizing DFN permeability-upscaling methods.

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“…Definição de incertezas (fluido, reservatório, económicas, operacionais, etc.) e suas probabilidades (Correia et al, 2015(Correia et al, , 2018a(Correia et al, , 2018bMahjour et al, 2019).…”

Section: Desenvolvimento E Gerenciamento De Reservatórios Em Malha Fe...unclassified

Integração da geoestatística no processo de assimilação de dados de produção em reservatórios de petróleo

Oliveira¹

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Gostaria primeiramente de agradecer ao meu orientador Prof. Dr. Denis Schiozer, a sua confiança, apoio e as valiosas orientações, sempre me ajudaram a seguir o caminho correto e a alcançar os objetivos. Foram anos de muito aprendizado que sempre continuarão comigo.Ao meu coorientador Dr. Célio Maschio, por todo o apoio e por sempre estar disponível para me orientar. O seu conhecimento e ajuda foram um forte pilar no desenvolvimento deste trabalho.

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Flow Simulation Using Local Grid Refinements to Model Laminated Reservoirs

Cited by 9 publications

References 23 publications

Model-based decision analysis applied to petroleum field development and management

Model-based decision analysis applied to petroleum field development and management

Well representation in simulation models of naturally fractured reservoirs considering the impact of DFN upscaling

Integração da geoestatística no processo de assimilação de dados de produção em reservatórios de petróleo

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