Multiscale petrophysical characterization and flow unit classification of the Minnelusa eolian sandstones

Wang, Heng; Kou, Zuhao; Bagdonas, Davin A.; Phillips, Erin H.; Alvarado, Vladimir; Johnson, Andrew C.; Jiao, Zunsheng; McLaughlin, J. Fred; Quillinan, Scott

doi:10.1016/j.jhydrol.2022.127466

Cited by 29 publications

(11 citation statements)

References 29 publications

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“…All curves reflect the distribution of water in the pores under every experimental condition. The curve between the saturated water state and saturated oil state is considered to be the distribution of original brine and oil in the pores, the curve between the saturated oil state and final state of water flooding is the distribution of movable oil in the pores [11].…”

Section: Resultsmentioning

confidence: 99%

Experimental Study of Imbibition Within Core Chips of Shale in Ordos Basin

Wu¹,

Mu²,

Ren

et al. 2022

Front. Phys.

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The main exploring technology of No.7 Yanchang Formation of the Triassic reservoir in the Ordos Basin adopts quasi-natural downhole energy driven by volume fracturing, and the region production thus cannot be improved by an injection well network. Enhanced oil recovery (EOR) has been carried out through an enhanced imbibition process during reservoir stimulation work. To further understand the oil-water displacement mechanism, a thin-cut chips of shale imbibition experimental study was carried out. Simultaneously, nuclear magnetic resonance (NMR) changes of the fluid within the pores of chips were measured. This method was used to evaluate the application effect of imbibition surfactant in use, and the field practice was compared and analyzed by means of a chemical tracer among dozens of clusters in the same horizontal well.

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Section: Resultsmentioning

confidence: 99%

Experimental Study of Imbibition Within Core Chips of Shale in Ordos Basin

Wu¹,

Mu²,

Ren

et al. 2022

Front. Phys.

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“…A large number of analysis results show that the law of production decline of gas wells is directly related to geological conditions, production methods and technology [21][22][23][24][25][26][27]. Geological conditions mainly include gas reservoir structure type, trap type, reservoir space type, driving type, seepage condition, reserves and so on.…”

Section: Analysis Of Affecting Factors For Production Decline In Low ...mentioning

confidence: 99%

“…Response Surface Regression Analysis (RSRA) [28,29] is a research method which combines mathematical method, experimental design and statistical analysis. It is usually used to study the mathematical model between different influencing factors and their corresponding response output.…”

Section: Establishment Of Modelmentioning

confidence: 99%

The Research of Declining Factor and a New Model of Decline Rate for Gas Well Production in Low Permeability Reservoir

Wang

Wu²,

Fu³

et al. 2022

Front. Phys.

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The decline rate of gas wells varies with production time and is related to reservoir and working system. A typical single well numerical model of low permeability gas wells is established. The variation law of decline rate and its main influencing factors are studied by single factor analysis method. The results show that there are two stages of rapid and slow decline for the decline rate of gas wells, and the decline rate tends to be stable after the gas wells entering the decline period of 2–3 years; the decline rate increases with the increase of permeability, gas saturation and wellhead pressure, and decreases with the increase of porosity and well-controlled reserves; the decline rate in late production does not change with the change of reservoir thickness, initial production allocation and formation pressure. Then the decline rate model is and Then the decline rate model and the non-linear model of each factor are established by using response surface method are used to predict the decline rate quickly and accurately. According to the prediction model, the larger the well-controlled reserves, the smaller the permeability and the smaller the decline rate. In order to reduce production decline rate in gas well production process, it is suggested that the influence of various parameters on production decline rate should be considered comprehensively, and the well-controlled reserves of gas well should be increased as far as possible.

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“…The characterization of the micro-nano-pore structure of a tight sandstone reservoir is not only one of the important factors to evaluate the quality of the oil and gas reservoir, but also the basic research work to point out the key research direction of exploration and development theory and technology, so it has attracted much attention in academic circles [6][7][8]. In view of the difficulty in characterizing the micro-and nano-pores of unconventional reservoirs by conventional methods, the fine identification and characterization of micro-nano-scale pores and throats of reservoirs can be realized by using high-resolution testing technologies such as field emission scanning electron microscope, double beam electron microscope, constant velocity mercury injection, high-pressure mercury injection, maps imaging analysis, and Computerized Tomography (CT) imaging, combined with conventional testing [9][10][11]. However, because tight sandstone oil and gas reservoirs have low dispersion micro-nano-pore size information, its testing and characterization technology and theoretical methods are not perfect, which is an important scientific problem to be studied urgently [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Splicing Method of Micro-Nano-Scale Pore Radius Distribution in Tight Sandstone Reservoir

Zhang

et al. 2022

Energies

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Accurate characterization of the micro- and nano-pore radius values in a tight sandstone reservoir is the key work to reasonably evaluate reservoir properties. The previous exploration of pore-stitching methods is mainly based on the morphological extension of similar segments. However, few scholars compare and verify the image and non-image stitching methods, so they cannot clarify the application scope of different pore-stitching methods. In this study, the pore structures of eight selected tight sandstone samples were evaluated using high-pressure mercury injection, nuclear magnetic resonance, scanning electron microscope, and the helium porosity test. Then, the C-value fitting, interpolation fitting, and morphological fitting were used to establish high-pressure mercury injection and Nuclear Magnetic Resonance (NMR) pore distribution curves to evaluate the differences among the micro-nano-scale pore radius values determined by the three fitting methods. Finally, the pore radius distribution is extracted from the binary image of Scanning Electron Microscope (SEM). After correcting the helium porosity data, the application scope of different fitting methods is evaluated by using the mean standard deviation verification method, and the optimal solution of the stitching method of pore radius distribution in each application scope is found. Compared to other studies, this research demonstrated three relatively simple methods for the determination of the full range of pore size distributions, providing a reliable method to evaluate the prerequisites of the range of application. This study provides a new idea for the micro-nano-scale pore radius splicing method of a tight sandstone reservoir, and the research results can provide a reference for the actual reservoir evaluation of oil and gas fields.

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Multiscale petrophysical characterization and flow unit classification of the Minnelusa eolian sandstones

Cited by 29 publications

References 29 publications

Experimental Study of Imbibition Within Core Chips of Shale in Ordos Basin

Experimental Study of Imbibition Within Core Chips of Shale in Ordos Basin

The Research of Declining Factor and a New Model of Decline Rate for Gas Well Production in Low Permeability Reservoir

Splicing Method of Micro-Nano-Scale Pore Radius Distribution in Tight Sandstone Reservoir

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