Reservoir sensitivity analysis for heterogeneity and anisotropy effects quantification through the cyclic CO2-Assisted Gravity Drainage EOR process – A case study from South Rumaila oil field

Watheq J. Al-Mudhafar, Dandina N. Rao, Sanjay Srinivasan

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The effects of reservoir heterogeneity and anisotropy were quantified through the cyclic CO2-Assisted Gravity Drainage (GAGD) process performance in a heterogeneous multi-layering sandstone reservoir. First, an integrating workflow of multiple-point geostatistics (MPS) and Sequential Gaussian Simulation (SGSIM) was adopted for the lithological and petrophysical modeling to capture the fluvial depositional environment and preserve the reservoir heterogeneity, respectively. Next, sensitivity analysis was conducted through compositional reservoir simulation and Design of Experiments (DoE) to eliminate the non-influencing petrophysical parameters on the GAGD process performance. Then, heterogeneity and anisotropy effects were quantified with respect to reservoir permeability and anisotropy ratio, respectively. The effects was attained by generating and incorporating multiple reservoir stochastic images (realizations) that capture the entire geological uncertainty space into the reservoir flow simulation. Based on the reservoir flow responses, it was concluded that the impact of permeability anisotropy on the GAGD process is higher than that of heterogeneity, because the main concept of GAGD process considers vertical fluid movements from the top-layer injection wells to the horizontal producers.

Original languageEnglish (US)
Pages (from-to)455-468
Number of pages14
JournalFuel
Volume221
DOIs
StatePublished - Jun 1 2018

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Oil fields
Drainage
Sensitivity analysis
Gravitation
Anisotropy
Petroleum reservoirs
Flow simulation
Sandstone
Design of experiments
Fluids

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Organic Chemistry

Cite this

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title = "Reservoir sensitivity analysis for heterogeneity and anisotropy effects quantification through the cyclic CO2-Assisted Gravity Drainage EOR process – A case study from South Rumaila oil field",
abstract = "The effects of reservoir heterogeneity and anisotropy were quantified through the cyclic CO2-Assisted Gravity Drainage (GAGD) process performance in a heterogeneous multi-layering sandstone reservoir. First, an integrating workflow of multiple-point geostatistics (MPS) and Sequential Gaussian Simulation (SGSIM) was adopted for the lithological and petrophysical modeling to capture the fluvial depositional environment and preserve the reservoir heterogeneity, respectively. Next, sensitivity analysis was conducted through compositional reservoir simulation and Design of Experiments (DoE) to eliminate the non-influencing petrophysical parameters on the GAGD process performance. Then, heterogeneity and anisotropy effects were quantified with respect to reservoir permeability and anisotropy ratio, respectively. The effects was attained by generating and incorporating multiple reservoir stochastic images (realizations) that capture the entire geological uncertainty space into the reservoir flow simulation. Based on the reservoir flow responses, it was concluded that the impact of permeability anisotropy on the GAGD process is higher than that of heterogeneity, because the main concept of GAGD process considers vertical fluid movements from the top-layer injection wells to the horizontal producers.",
author = "Al-Mudhafar, {Watheq J.} and Rao, {Dandina N.} and Sanjay Srinivasan",
year = "2018",
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doi = "10.1016/j.fuel.2018.02.121",
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AU - Al-Mudhafar, Watheq J.

AU - Rao, Dandina N.

AU - Srinivasan, Sanjay

PY - 2018/6/1

Y1 - 2018/6/1

N2 - The effects of reservoir heterogeneity and anisotropy were quantified through the cyclic CO2-Assisted Gravity Drainage (GAGD) process performance in a heterogeneous multi-layering sandstone reservoir. First, an integrating workflow of multiple-point geostatistics (MPS) and Sequential Gaussian Simulation (SGSIM) was adopted for the lithological and petrophysical modeling to capture the fluvial depositional environment and preserve the reservoir heterogeneity, respectively. Next, sensitivity analysis was conducted through compositional reservoir simulation and Design of Experiments (DoE) to eliminate the non-influencing petrophysical parameters on the GAGD process performance. Then, heterogeneity and anisotropy effects were quantified with respect to reservoir permeability and anisotropy ratio, respectively. The effects was attained by generating and incorporating multiple reservoir stochastic images (realizations) that capture the entire geological uncertainty space into the reservoir flow simulation. Based on the reservoir flow responses, it was concluded that the impact of permeability anisotropy on the GAGD process is higher than that of heterogeneity, because the main concept of GAGD process considers vertical fluid movements from the top-layer injection wells to the horizontal producers.

AB - The effects of reservoir heterogeneity and anisotropy were quantified through the cyclic CO2-Assisted Gravity Drainage (GAGD) process performance in a heterogeneous multi-layering sandstone reservoir. First, an integrating workflow of multiple-point geostatistics (MPS) and Sequential Gaussian Simulation (SGSIM) was adopted for the lithological and petrophysical modeling to capture the fluvial depositional environment and preserve the reservoir heterogeneity, respectively. Next, sensitivity analysis was conducted through compositional reservoir simulation and Design of Experiments (DoE) to eliminate the non-influencing petrophysical parameters on the GAGD process performance. Then, heterogeneity and anisotropy effects were quantified with respect to reservoir permeability and anisotropy ratio, respectively. The effects was attained by generating and incorporating multiple reservoir stochastic images (realizations) that capture the entire geological uncertainty space into the reservoir flow simulation. Based on the reservoir flow responses, it was concluded that the impact of permeability anisotropy on the GAGD process is higher than that of heterogeneity, because the main concept of GAGD process considers vertical fluid movements from the top-layer injection wells to the horizontal producers.

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