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- W2040634518 abstract "Abstract Waterflooding of Baka Oil Field is dominated by natural fractures. Based on core and outcrop observation and fracture identification from logging, the static geological model of fracture distribution has been set up by studying fracture geometry and basic characteristics (orientation, aperture, extent, density, porosity and permeability). The fracture mineralization features and the factors that determine the occurrence of fractures were also studied, which include the degree of folding and/or faulting, in-situ stresses, rock properties and bedding thickness, etc. Due to small borehole-scale and difficulties to map some factors which determine open and permeable fractures, the static model may not be representative of the large-scale fracture network which will determine reservoir performance, thus dynamics production data are integrated to get a good understanding to fracture's influence. The productivity index of per meter reservoir (Jo, ton/m.MPa.m) is used to characterize natural fractures, For production well, Jo is calculated from dynamic surveillance data directly. But for every injection well, the injectivity index of per meter reservoir (Jw) is estimated from injection data firstly, then Jo is calculated from the Jo/Jw ratio, this ratio is estimated from several actual wells which were switched from production to injection. In order to make the ratio Jo/Jw convincing, further discussion that involve Krw (Sor) / Kro (Swi) was made. Finally geostatistical method was used to distribute the productivity index. The dynamic index map matches the permeability of several wells estimated from well testing very well, and a good explanation about breakthroughs is derived, but some differences from static model still exist. P. 757" @default.
- W2040634518 created "2016-06-24" @default.
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- W2040634518 date "1998-09-27" @default.
- W2040634518 modified "2023-10-16" @default.
- W2040634518 title "Integrating Static and Dynamics Surveillance Data to Characterize Naturally Fractured Reservoir: A Case study of Baka Oil Field" @default.
- W2040634518 doi "https://doi.org/10.2118/49295-ms" @default.
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