Logging evaluation technique for tight sandstone reservoir in Daniudi Gas Field

Zhang, Songyang; Xu-ying, Qin; Lu, Zhiyuan

doi:10.1190/1.3603563

Cited by 1 publication

(2 citation statements)

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“…From the results of high-pressure mercury injection experiments, Huang Xing divided the In order to discuss the influence of capillary radius distribution on permeability, it is necessary to select representative capillary pressure curves for the model calculations. From the results of high-pressure mercury injection experiments, Huang Xing divided the tight sandstone samples of the Chang 8 reservoir into three types, with different permeabilities and displacement pressures [45]. The parameters used in the calculation are shown in Table 3, and the variations in capillary pressure and effective permeability are presented in Figure 8.…”

Section: Sensitivity Analysis Of Single-phase Nonlinear Seepage Modelmentioning

confidence: 99%

“…According to the calculation, as the physical properties of the pore throats deteriorate, the throats become smaller, the displacement pressure increases, and the influence of the boundary layer becomes more significant, resulting in a significant decrease in effective permeability (Y1 < Y3 < Y5). tight sandstone samples of the Chang 8 reservoir into three types, with different permeabilities and displacement pressures [45]. The parameters used in the calculation are shown in Table 3, and the variations in capillary pressure and effective permeability are presented in Figure 8.…”

Section: Sensitivity Analysis Of Single-phase Nonlinear Seepage Modelmentioning

confidence: 99%

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A Novel Method for the Calculation of Oil–Water Relative Permeability for Tight Oil Reservoirs by Considering Nonlinear Seepage Characteristics

et al. 2023

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In view of the lack of clear physical significance of the parameters of the traditional nonlinear seepage models and the difficulty of obtaining accurate experimental measurements of the two-phase relative permeability curve, a nonlinear seepage model of a tight reservoir is established on the basis of fractal theory and boundary layer theory. The results show that the proposed model can comprehensively reflect the effects of reservoir matrix physical properties, reservoir fluid physical properties, wettability, and displacement-pressure gradient on the single-phase and two-phase nonlinear seepage characteristics of tight reservoirs. Furthermore, the introduction of the permeability loss factor makes the two-phase relative permeability model more representative of the morphological characteristics of the actual relative permeability curve and avoids the disadvantage that the relative permeability at the end point of the wetting phase has in the traditional model. Finally, by taking the tight core of Changqing Oilfield as an example, a sensitivity analysis of the proposed model is conducted, which proves the practical application of this model. The proposed model provides a convenient theoretical method for the accurate characterization of nonlinear seepage characteristics of tight reservoirs and is of great significance to the numerical simulation, productivity evaluation, and optimization of tight reservoirs.

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Section: Sensitivity Analysis Of Single-phase Nonlinear Seepage Modelmentioning

confidence: 99%

Section: Sensitivity Analysis Of Single-phase Nonlinear Seepage Modelmentioning

confidence: 99%

A Novel Method for the Calculation of Oil–Water Relative Permeability for Tight Oil Reservoirs by Considering Nonlinear Seepage Characteristics

et al. 2023

View full text Add to dashboard Cite

show abstract

Logging evaluation technique for tight sandstone reservoir in Daniudi Gas Field

Cited by 1 publication

References 0 publications

A Novel Method for the Calculation of Oil–Water Relative Permeability for Tight Oil Reservoirs by Considering Nonlinear Seepage Characteristics

A Novel Method for the Calculation of Oil–Water Relative Permeability for Tight Oil Reservoirs by Considering Nonlinear Seepage Characteristics

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