A more generalized model for relative permeability prediction in unsaturated fractal porous media

Wang, Fuyong; Liang, Jenn‐Tai; Zhao, Jiuyu; Cai, Jingong

doi:10.1016/j.jngse.2019.04.019

Cited by 20 publications

(17 citation statements)

References 31 publications

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“…Results indicate that the crude oil produced in the Yanjia oil and gas filed, Yong2, Yong3, Yong12, and Yong63 Blocks of Yonganzhen has the features of the upper Sha4 type, while the crude oil produced in Yong66 Block has the characteristics of the combined type of middle Sha3 and lower Sha3; the crude oil produced in Minfeng Sag has the attributes of the lower Sha3 type (Figure 2). 6 Geofluids biological organic matter to sedimentary organic matter, which can reflect the depositional environment of source rocks and organic matter input [22]. Although the crude oil is generated in the same set of source rock beds, after secondary migration and accumulation, their chemical compositions will change significantly, since a series of geochemical changes would occur due to the changes of geologicalgeochemical conditions, such as the biodegradation and hydrolysis of crude oil in the reservoir, thermal alteration, and fluid-rock interaction and fractionation during the process of oil and gas migration [23].…”

Section: Fingerprinting Comparison Of Carbon Numbermentioning

confidence: 99%

Geochemical Characteristics and Oil Source Correlation of Minfeng Area, Dongying Depression, China

Jiang

Zhao

et al. 2021

Geofluids

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The identification of the oil-source correlation plays a significant role in petroleum exploration and development. In this study, we identify the oil-source correlation by a hierarchical cluster analysis method combined with traditional methods. The results shed light on the oil-source correlation in Minfeng area and revealed the oil migration and accumulation process. The crude oil in different structural belts and different horizons has different geochemical characteristics. According to the four types of crude oil and their planner distribution, it was considered that the crude oil mainly migrates along with favorable sand bodies and unconformity surfaces in the lateral direction and then charged and accumulated in the glutenite of Sha3 and Sha4 members since the area from sag to Yan Jia Oil and the gas field was lacking of oil source faults. Further analysis shows that the traps of fault blocks in Yong’anzhen are formed in the same phase, while the crude oil generated in the early stage is charged and accumulated in the fault block of the near source. Along with increasing of the buried depth of source rocks, the overlying source rocks gradually entered into the hydrocarbon generation phase, when crude oil started to charge in the fault blocks farther away.

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Section: Fingerprinting Comparison Of Carbon Numbermentioning

confidence: 99%

Geochemical Characteristics and Oil Source Correlation of Minfeng Area, Dongying Depression, China

Jiang

Zhao

et al. 2021

Geofluids

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“…Interestingly, the quantitative determination the heterogeneity and complexity of different rock samples used fractal dimension is consistent with the conventional qualitative method considering the frequency diagram of PSD based on the previous theoretical basis. Wang et al (2019b) expressed a new capillary pressure model introducing both the fractal dimension and tortuosity fractal dimension which is the fractal distribution of tortuosity describing streamtubes tortuous or meandering. Meanwhile, Kim et al (2011) analyzed different types (drainage-type and imbibition-type) capillary pressure models in carbonate rock including macropores and micropores.…”

Section: Numerical Models Based On Experimental Measurementmentioning

confidence: 99%

Applications of mercury intrusion capillary pressure for pore structures: A review

et al. 2020

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“…permeability) for porous media. [10][11][12][13][14] Additionally, many fractal models developed for permeability have been presented in recent decades. [15][16][17] Many fractal permeability models were developed based on the classic Kozeny-Carman (KC) equation because of its longstanding application in permeability prediction.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fractal Model for Estimating Permeability in Low-Permeable Sandstone Reservoirs

Dong

Dai

et al. 2020

Fractals

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Permeability is one of the most important parameters for accurately predicting water flow in reservoirs and quantifying underground water inrush into coal mines. This study developed a predictive permeability model by considering the microstructural parameters and tortuosity effects of low-permeability sandstone. The model incorporates the fractal geometry theory, Darcy’s law, and Poiseuille equation into a multistep inversion framework for systematic interpretation of sandstone scanning electron microscopy (SEM) images. A threshold segmentation algorithm is applied to transform SEM images into binary images. Then, we used an improved statistical algorithm with binary image data to estimate the geometric parameters of each pore, such as the perimeter and area. The fractal parameters of pore microstructure were determined by fitting the data of pore perimeters and areas. Finally, the effects of tortuosity on microscopic percolation were considered, and a conventional model was modified for quantifying the relationship between microscopic pore structures parameters and macroscopic permeability. Eight groups of sandstone samples from the Xingdong coal mine in North China were collected for estimating permeability by the developed inversion framework. A direct permeability measurement was also conducted on each sample with an AP-608 automatic measuring instrument. The measured permeability values were compared with results from theoretical models, and we found that the accuracy of the newly developed predictive model is better than that of a conventional permeability model. The predictive model developed in this study provides a useful tool for estimating permeability in low-permeable sandstone reservoirs.

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A more generalized model for relative permeability prediction in unsaturated fractal porous media

Cited by 20 publications

References 31 publications

Geochemical Characteristics and Oil Source Correlation of Minfeng Area, Dongying Depression, China

Geochemical Characteristics and Oil Source Correlation of Minfeng Area, Dongying Depression, China

Applications of mercury intrusion capillary pressure for pore structures: A review

A Novel Fractal Model for Estimating Permeability in Low-Permeable Sandstone Reservoirs

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