Reduced order models for rapid EOR simulation in fractured carbonate reservoirs

Simeon Sani Agada, Sebastian Geiger, Ahmed H. ELSheikh, Eric James Mackay, Sergey Oladyshkin,

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conventional simulation of fractured carbonate reservoirs is computationally expensive because multiscale heterogeneities and fracture-matrix transfer must be taken into account. The computational requirement increases exponentially when multiple simulation runs are required for sensitivity analysis and quantification of the uncertainty range. This can be prohibitive, especially for giant carbonate reservoirs. Yet, sensitivity analysis and uncertainty quantification are particularly important to analyse, determine and rank the impact of geological and engineering parameters on the economics and sustainability of different EOR techniques.

We use experimental design to set up multiple screened simulations of a high-resolution model of a Jurassic Carbonate ramp, which is an analogue for the highly prolific reservoirs of the Arab D formation in Qatar. We consider CO2 water-alternating-gas (WAG) injection, which has been shown to be a successful EOR method for carbonate reservoirs. The simulations are used as a basis for generating polynomial response surfaces for prediction of hydrocarbon recovery and net gas utilisation. We compare response surfaces from polynomial regression to response surfaces generated with polynomial chaos expansion (PCE). PCE allows for non-linear mapping of parameter uncertainty to the predicted results.

In the current work, the geological parameter uncertainties affecting WAG modelling in fractured carbonates are evaluated. These include end-member fault transmissibility configurations, wettability scenarios, hysteresis models and fracture intensity. Effective fracture permeabilities are computed using discrete fracture networks (DFN) for sparsely distributed regional fractures. The results enable us to adequately explore the parameter space, quantify and rank the interrelated effect uncertain model parameters on CO2 WAG efficiency in fractured carbonate reservoirs. The results highlight the first order impact of fracture intensity, wettability and hysteresis on hydrocarbon recovery and net gas utilisation. Furthermore, reduced order (i.e. proxy) models enable us to calculate quick estimates of the probabilistic uncertainty range and achieve significant computational speed-up compared with the conventional Monte Carlo framework.
Original languageEnglish
Title of host publicationSPE Reservoir Simulation Symposium
Place of PublicationRichardson, Texas
PublisherSociety of Petroleum Engineers
Pages276-296
Number of pages21
ISBN (Electronic)9781613993521
ISBN (Print)9781510800618
DOIs
Publication statusPublished - 2015
EventSPE Reservoir Simulation Symposium 2015 - Houston, TX, United States
Duration: 23 Feb 201525 Feb 2015

Conference

ConferenceSPE Reservoir Simulation Symposium 2015
CountryUnited States
CityHouston, TX
Period23/02/1525/02/15

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carbonate
gas
simulation
wettability
chaotic dynamics
hysteresis
sensitivity analysis
hydrocarbon
carbonate ramp
fracture network
experimental design
water
Jurassic
parameter
sustainability
permeability
engineering
matrix
prediction
economics

Cite this

Agada, S. S., Geiger, S., ELSheikh, A. H., Mackay, E. J., & Oladyshkin, S. (2015). Reduced order models for rapid EOR simulation in fractured carbonate reservoirs. In SPE Reservoir Simulation Symposium (pp. 276-296). [SPE-173205] Richardson, Texas: Society of Petroleum Engineers . https://doi.org/10.2118/173205-MS
Agada, Simeon Sani ; Geiger, Sebastian ; ELSheikh, Ahmed H. ; Mackay, Eric James ; Oladyshkin, Sergey. / Reduced order models for rapid EOR simulation in fractured carbonate reservoirs. SPE Reservoir Simulation Symposium. Richardson, Texas : Society of Petroleum Engineers , 2015. pp. 276-296
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title = "Reduced order models for rapid EOR simulation in fractured carbonate reservoirs",
abstract = "Conventional simulation of fractured carbonate reservoirs is computationally expensive because multiscale heterogeneities and fracture-matrix transfer must be taken into account. The computational requirement increases exponentially when multiple simulation runs are required for sensitivity analysis and quantification of the uncertainty range. This can be prohibitive, especially for giant carbonate reservoirs. Yet, sensitivity analysis and uncertainty quantification are particularly important to analyse, determine and rank the impact of geological and engineering parameters on the economics and sustainability of different EOR techniques.We use experimental design to set up multiple screened simulations of a high-resolution model of a Jurassic Carbonate ramp, which is an analogue for the highly prolific reservoirs of the Arab D formation in Qatar. We consider CO2 water-alternating-gas (WAG) injection, which has been shown to be a successful EOR method for carbonate reservoirs. The simulations are used as a basis for generating polynomial response surfaces for prediction of hydrocarbon recovery and net gas utilisation. We compare response surfaces from polynomial regression to response surfaces generated with polynomial chaos expansion (PCE). PCE allows for non-linear mapping of parameter uncertainty to the predicted results.In the current work, the geological parameter uncertainties affecting WAG modelling in fractured carbonates are evaluated. These include end-member fault transmissibility configurations, wettability scenarios, hysteresis models and fracture intensity. Effective fracture permeabilities are computed using discrete fracture networks (DFN) for sparsely distributed regional fractures. The results enable us to adequately explore the parameter space, quantify and rank the interrelated effect uncertain model parameters on CO2 WAG efficiency in fractured carbonate reservoirs. The results highlight the first order impact of fracture intensity, wettability and hysteresis on hydrocarbon recovery and net gas utilisation. Furthermore, reduced order (i.e. proxy) models enable us to calculate quick estimates of the probabilistic uncertainty range and achieve significant computational speed-up compared with the conventional Monte Carlo framework.",
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Agada, SS, Geiger, S, ELSheikh, AH, Mackay, EJ & Oladyshkin, S 2015, Reduced order models for rapid EOR simulation in fractured carbonate reservoirs. in SPE Reservoir Simulation Symposium., SPE-173205, Society of Petroleum Engineers , Richardson, Texas, pp. 276-296, SPE Reservoir Simulation Symposium 2015, Houston, TX, United States, 23/02/15. https://doi.org/10.2118/173205-MS

Reduced order models for rapid EOR simulation in fractured carbonate reservoirs. / Agada, Simeon Sani; Geiger, Sebastian; ELSheikh, Ahmed H. ; Mackay, Eric James; Oladyshkin, Sergey.

SPE Reservoir Simulation Symposium. Richardson, Texas : Society of Petroleum Engineers , 2015. p. 276-296 SPE-173205.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Agada, Simeon Sani

AU - Geiger, Sebastian

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AU - Mackay, Eric James

AU - Oladyshkin,, Sergey

PY - 2015

Y1 - 2015

N2 - Conventional simulation of fractured carbonate reservoirs is computationally expensive because multiscale heterogeneities and fracture-matrix transfer must be taken into account. The computational requirement increases exponentially when multiple simulation runs are required for sensitivity analysis and quantification of the uncertainty range. This can be prohibitive, especially for giant carbonate reservoirs. Yet, sensitivity analysis and uncertainty quantification are particularly important to analyse, determine and rank the impact of geological and engineering parameters on the economics and sustainability of different EOR techniques.We use experimental design to set up multiple screened simulations of a high-resolution model of a Jurassic Carbonate ramp, which is an analogue for the highly prolific reservoirs of the Arab D formation in Qatar. We consider CO2 water-alternating-gas (WAG) injection, which has been shown to be a successful EOR method for carbonate reservoirs. The simulations are used as a basis for generating polynomial response surfaces for prediction of hydrocarbon recovery and net gas utilisation. We compare response surfaces from polynomial regression to response surfaces generated with polynomial chaos expansion (PCE). PCE allows for non-linear mapping of parameter uncertainty to the predicted results.In the current work, the geological parameter uncertainties affecting WAG modelling in fractured carbonates are evaluated. These include end-member fault transmissibility configurations, wettability scenarios, hysteresis models and fracture intensity. Effective fracture permeabilities are computed using discrete fracture networks (DFN) for sparsely distributed regional fractures. The results enable us to adequately explore the parameter space, quantify and rank the interrelated effect uncertain model parameters on CO2 WAG efficiency in fractured carbonate reservoirs. The results highlight the first order impact of fracture intensity, wettability and hysteresis on hydrocarbon recovery and net gas utilisation. Furthermore, reduced order (i.e. proxy) models enable us to calculate quick estimates of the probabilistic uncertainty range and achieve significant computational speed-up compared with the conventional Monte Carlo framework.

AB - Conventional simulation of fractured carbonate reservoirs is computationally expensive because multiscale heterogeneities and fracture-matrix transfer must be taken into account. The computational requirement increases exponentially when multiple simulation runs are required for sensitivity analysis and quantification of the uncertainty range. This can be prohibitive, especially for giant carbonate reservoirs. Yet, sensitivity analysis and uncertainty quantification are particularly important to analyse, determine and rank the impact of geological and engineering parameters on the economics and sustainability of different EOR techniques.We use experimental design to set up multiple screened simulations of a high-resolution model of a Jurassic Carbonate ramp, which is an analogue for the highly prolific reservoirs of the Arab D formation in Qatar. We consider CO2 water-alternating-gas (WAG) injection, which has been shown to be a successful EOR method for carbonate reservoirs. The simulations are used as a basis for generating polynomial response surfaces for prediction of hydrocarbon recovery and net gas utilisation. We compare response surfaces from polynomial regression to response surfaces generated with polynomial chaos expansion (PCE). PCE allows for non-linear mapping of parameter uncertainty to the predicted results.In the current work, the geological parameter uncertainties affecting WAG modelling in fractured carbonates are evaluated. These include end-member fault transmissibility configurations, wettability scenarios, hysteresis models and fracture intensity. Effective fracture permeabilities are computed using discrete fracture networks (DFN) for sparsely distributed regional fractures. The results enable us to adequately explore the parameter space, quantify and rank the interrelated effect uncertain model parameters on CO2 WAG efficiency in fractured carbonate reservoirs. The results highlight the first order impact of fracture intensity, wettability and hysteresis on hydrocarbon recovery and net gas utilisation. Furthermore, reduced order (i.e. proxy) models enable us to calculate quick estimates of the probabilistic uncertainty range and achieve significant computational speed-up compared with the conventional Monte Carlo framework.

U2 - 10.2118/173205-MS

DO - 10.2118/173205-MS

M3 - Conference contribution

SN - 9781510800618

SP - 276

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BT - SPE Reservoir Simulation Symposium

PB - Society of Petroleum Engineers

CY - Richardson, Texas

ER -

Agada SS, Geiger S, ELSheikh AH, Mackay EJ, Oladyshkin, S. Reduced order models for rapid EOR simulation in fractured carbonate reservoirs. In SPE Reservoir Simulation Symposium. Richardson, Texas: Society of Petroleum Engineers . 2015. p. 276-296. SPE-173205 https://doi.org/10.2118/173205-MS