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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 53783 (06)
- University: Sharif University of Technology
- Department: Chemical and Petroleum Engineering
- Advisor(s): Shad, Saeed; Masihi, Mohsen; Khoyi, Amir Reza
- Abstract:
- In the oil and gas industry, in different stages of exploration and production of oil from hydrocarbon reservoirs, there are several challenges, most of which are due to unbalanced physical-mechanical conditions of the formations. Today, geomechanics of reservoirs is recognized as a key to analyze and solve such problems.Activities such as drilling, perforation, fracturing, production and fluid injection into the reservoir can alter the reservoir stress field and can cause rock deformation. Excessive compaction of reservoir rock can cause surface or seabed subsidence and damage to surface facilities and subsurface tubular. In general, rock compaction can cause many problems if not predicted or identified correctly at earlier stages of field development. The remedial cost of these problems is very high. Therefore, it is necessary to simulate the geomechanical model of the reservoir before drilling and development of the reservoir and it can be used to predict stress and strain field changes and deformations created in the reservoir rock. Mechanical properties of rocks are usually measured using static and dynamic methods. Static methods are generally conducted in the lab with specific test equipment that contains core specimens. In these methods, a sample of rock can be tested directly by applying force and recording the created stress and strain. Stress-strain curves are simultaneously recorded using a computer and mechanical parameters can be obtained from the curves. Numerous studies on the difference between static and dynamic methods have shown that static methods (measuring mechanical properties in the laboratory) are more direct and realistic. Although in these methods, the sample size may affect its mechanical properties. Because the dominant forces are different in the core and reservoir scale and also due to the heterogeneity and anisotropy of the reservoir, it can not be expected that the data obtained from laboratory tests are consistent with the data measured in situ in the reservoir. Therefore, the mechanical parameters obtained at the laboratory scale cannot be used directly as the input parameters in the reservoir geomechanical model. Therefore, it is necessary to investigate the effect of sample size on the mechanical properties, as well as the use of an appropriate upscaling method to convert mechanical data measured at the laboratory scale to the reservoir scale.The purpose of this study is to a) Investigating the effect of sample size on stress distribution and mechanical properties of the rock and determine the appropriate sample size to measure the mechanical properties of rock and b) Presenting dimensionless numbers for upscaling the mechanical properties of rock from laboratory scale to reservoir scale.Simulation of uniaxial compression test using elastic and poroelastic samples with different length to diameter ratios in Abacus software showed that the aspect ratio of the sample affects the stress distribution and elastic properties of the sample. Therefore, to measure the elastic properties of rock using mechanical tests, the appropriate sample size must first be determined for testing.Using dimensionless numbers for upscaling of rock mechanical properties instead of using existing empirical correlations can be a comprehensive and usable solution for different types of rock
- Keywords:
- ABAQUS Software ; Geomechanical Process ; Rock Mechanics ; Geomechanical Properties ; Upscaling ; Geomechanical Modeling ; Reservoir Geomechanics
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