tailieunhanh - Reservoir Formation Damage Episode 1 Part 4

Tham khảo tài liệu 'reservoir formation damage episode 1 part 4', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Petrography and Texture of Petroleum-Bearing Formations 57 REAL SYSTEM SAMPLE G FLOW PATH VOID SPACE AND FLOW LINES Figure 3-5. An integrated modeling approach to characterization of porous formation and processes after Civan 1994 reprinted by permission of the . Department of Energy . Flow 57 COMPARISONS - . MODELING ASSUMPTIONS MODELING ASSUMPTIONS MACROSCOPIC MODEL 1 LABORATORY DATA _ _ 2 DATA FILTERING AND SMOOTHING 3 MARQUARDT-LEVENBERG NONLINEAR OPTIMIZATION 4 PARAMETER ESTIMATION NETWORKING ICROSCOPI VOLUME AVERAGING INTEGRATION BOUNDARY AND INITIAL CONDITIONS ETWORK MODEL MULT PLE GRAD ENT MODEL CAPILLARY ORIFICE MODEL 58 Reservoir Formation Damage dead-end PORES I interconnected pores isolated pores Figure 3-6. Interconnectivity of pores. RADIUS MICRONS Figure 3-7. Typical cumulative pore body and pore throat size distributions in porous formation after Ehrlich and Davies 1989 SPE reprinted by permission of the Society of Petroleum Engineers . Petrography and Texture of Petroleum-Bearing Formations 59 Figure 3-8. Typical bimodal pore throat size distributions in porous formation after Al-Mahtot and Mason 1996 reprinted by permission of the Turkish Journal of Oil and Gas . where D is the diameter of the pores approximated by spheres Dm is the mean pore diameter calculated by Dm min DF D dD 3-17 and s. is the standard deviation and Dmin and denote the smallest u 111111 IltaA and largest diameters. Bi-Modal Distribution. Typically the pore body and pore throat sizes vary over finite ranges and the size distributions can display a number of peaks corresponding to various fractions of pore bodies and pore throats in porous media. If only two groups such as the fine and coarse fractions are considered a bi-modal distribution function according to Popplewell et al. 1989 can be used for mathematical representation of the size distribution D M D 1-W 2 D 3-18