Coping with uncertainties through an automated workflow for 3D reservoir modelling of carbonate reservoirs

Benetatos, Christoforos; Giglio, Giorgio

doi:10.1016/j.gsf.2019.11.008

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…Approaches taking into account uncertainty and diversity are common in studying highly heterogeneous reservoirs [23,24]. Multivariate modelling allows one to go through a range of basic reservoir parameters (porosity, permeability, aquifer, etc.…”

Section: Introductionmentioning

confidence: 99%

High Permeability Streak Identification and Modelling Approach for Carbonate Reef Reservoir

Shirinkin,

Kochnev,

Krivoshchekov

et al. 2024

Energies

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Reef reservoirs are characterised by a complex structure of void space, which is a combination of intergranular porosity, fractures, and vuggy voids distributed chaotically in the carbonate body in different proportions. This causes great uncertainty in the distribution of porosity and permeability properties in the reservoir volume, making field development a complex and unpredictable process associated with many risks. High densities of carbonate secondary alterations can lead to the formation of zones with abnormally high porosity and permeability—high permeability streaks or super-reservoirs. Taking into account super-reservoirs in the bulk of the deposit is necessary in the dynamic modelling of complex-structure reservoirs because it affects the redistribution of filtration flows and is crucial for reservoir management. This paper proposes a method for identifying superreservoirs by identifying enormously high values of porosity and permeability from different-scale study results, followed by the combination and construction of probabilistic curves of superreservoirs. Based on the obtained curves, three probabilistic models of the existence of a superreservoir were identified: P10, P50, and P90, which were further distributed in the volume of the reservoir and on the basis of which new permeability arrays were calculated. Permeability arrays were simulated in a dynamic model of the Alpha field. The P50 probabilistic model showed the best history matching after one iteration.

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Section: Introductionmentioning

confidence: 99%

High Permeability Streak Identification and Modelling Approach for Carbonate Reef Reservoir

Shirinkin,

Kochnev,

Krivoshchekov

et al. 2024

Energies

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“…Therefore, an applicable mathematical optimization model should be established with the feasibility of the description of the above flow stages . Considering the numerous parameters involved in the production process of gas wells, including geological, wellbore, and other technical constraints, seeking reasonable allocation is actually an optimization problem . In general, the key components of an optimization problem consist of the objective function, constraints, and solving strategy.…”

Section: Introductionmentioning

confidence: 99%

Production Allocation Optimization of Gas Reservoirs with Edge and Bottom Aquifer Based on a Parallel-Structured Genetic Algorithm

Cheng,

Luo,

Chen

et al. 2024

ACS Omega

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“…This feature is important for applications that involve strong coupling between different physical processes, such as WIPCR. In other fields, many studies utilized this approach to examine complex problems in the subsurface, such as studying carbon dioxide storage, reservoir simulation, − reactive transport, , and natural convection in porous media. − For instance, Benetatos and Giglio introduced a comprehensive workflow for full-scale reservoir simulation, including multiple data sources . However, GSA has not yet been applied to WIPCR.…”

Section: Introductionmentioning

confidence: 99%

“… 48 − 51 For instance, Benetatos and Giglio introduced a comprehensive workflow for full-scale reservoir simulation, including multiple data sources. 52 However, GSA has not yet been applied to WIPCR. The goal of this work is to develop a GSA method for WIPCR, which allows improving uncertainty quantification and optimization of the carbonate dissolution processes.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Uncertainty Quantification Method for Reservoir Stimulation through Carbonate Acidizing

2022

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Reservoir stimulation is a widely used technique in the oil and gas industry for increasing the productivity of hydrocarbon reservoirs, most notably in carbonate formations. This work aims to develop an optimization workflow under uncertainty for matrix acidizing. A reactive transport model is implemented in a finite-element framework to simulate the initiation and propagation of dissolution channels in porous carbonate rock. The model is verified using an analytical solution. We utilize surrogate modeling based on polynomial chaos expansion (PCE) and Sobol indices to identify the most significant parameters. We investigate the effect of varying 12 identified parameters on the efficiency of the stimulation process using dimensionless groups, including the Damkoḧler, Peclet, and acid capacity numbers. Furthermore, the surrogate model reproduces the physics-based results accurately, including the dissolution channels, the pore volume to breakthrough, and the effective permeability of the stimulated rock. The developed workflow assesses how uncertainties propagate to the model's response, where the surrogate model is used to calculate the univariate effect. The global sensitivity analysis shows that the acid capacity number is the most significant parameter for the pore volume to breakthrough with the highest Sobol index. The marginal effect calculated for the individual parameter confirms the results from Sobol indices. This work provides a systematic workflow for uncertainty analysis and optimization applied to the processes of rock stimulation. Characterizing the impact of uncertainty provides physical insights and a better understanding of the matrix acidizing process.

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Coping with uncertainties through an automated workflow for 3D reservoir modelling of carbonate reservoirs

Cited by 10 publications

References 14 publications

High Permeability Streak Identification and Modelling Approach for Carbonate Reef Reservoir

High Permeability Streak Identification and Modelling Approach for Carbonate Reef Reservoir

Production Allocation Optimization of Gas Reservoirs with Edge and Bottom Aquifer Based on a Parallel-Structured Genetic Algorithm

Optimization and Uncertainty Quantification Method for Reservoir Stimulation through Carbonate Acidizing

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