Double Logarithmic Curve Research Articles

Promoting Sustainable Coal Mining: Investigating Multifractal Characteristics of Induced Charge Signals in Coal Damage and Failure Process

Monitoring and preventing coal–rock dynamic disasters are essential for ensuring sustainable and safe mining. Induced charge monitoring, as a geophysical method, enables sustainable monitoring of coal–rock deformation and failure. The induced charge signal contains crucial information regarding damage evolution, making it imperative and important to explore its temporal characteristics for effective monitoring and early warnings of dynamic disasters in deep mining. This paper conducted induced charge monitoring tests at different loading rates, investigating the multifractal characteristics of induced charge signals during the early and late stages of loading. It proposed the maximum generalized dimension D(q)max, multifractal spectrum width Δα, and height difference Δf as multifractal parameters for induced charge signals. Additionally, quantitative characterization of coal damage was performed, studying the variation patterns of signal multifractal characteristic parameters with coal damage evolution. This study revealed the induced charge signal of the coal body multifractal characteristics in the whole loading process. In the late loading stage, the double logarithmic curve demonstrated some nonlinearity compared to the previous period, indicating the higher non-uniformity of the induced charge time series. D(q)max and Δα in the late loading stage were higher than those in the early stage and increased with loading rates. As coal damage progressed, there were significant jumps of D(q)max in both the early and late stages of damage, with larger jumps indicating richer fracture events in the coal. The width Δα showed an overall trend of increase–decrease–increase with coal damage evolution, while the height difference Δf fluctuated around zero in the early stage of damage development but increased significantly during severe damage and destruction. By studying the multifractal characteristics of induced charge signals, this study provides insights for the early identification of coal–rock dynamic disasters.

Carrier mobility in organic semiconductors with an exponential density of states under the framework of admittance spectroscopy

The carrier transport in amorphous organic semiconductors with an exponential density of states is systematically studied under the framework of admittance spectroscopy. Due to the exponential distribution, the slope of the double logarithmic curve of current density versus voltage is expressed as b+2, where b relates to the width of the density of states. And the mobility is proportional to nb, where n is the density of carrier. In this case, the peak frequencies of the negative differential susceptance and imaginary part of impedance turn out to be functions of parameter b. Therefore, the relation between transit time and mobility will be a linear function of parameter b. Applying our model to interpret experimental data of both small molecular and polymeric materials are illustrated. The contributions of electric field and of carrier density to mobility are discussed.

Experimental Study on Flexural Fatigue Resistance of Recycled Fine Aggregate Concrete Incorporating Calcium Sulfate Whiskers

In order to study the flexural fatigue resistance of calcium sulfate whisker-modified recycled fine aggregate concrete (RFAC), flexural fatigue cyclic loading tests at different stress levels (0.6, 0.7, and 0.9) considering a calcium sulfate whisker (CSW) admixture as the main influencing factor were designed. Furthermore, the fatigue life was analyzed, and fatigue equations were established using the three-parameter Weibull distribution function theory. In addition, the micro-morphology of CSW-modified recycled fine aggregate concrete was observed and analyzed through Scanning Electron Microscopy (SEM), and the strengthening and toughening mechanisms of CSW on recycled fine aggregate concrete were further explored. The test results demonstrate that the inclusion of recycled fine aggregate reduces the fatigue life of concrete, while the incorporation of CSW can effectively improve the fatigue life of the recycled fine aggregate concrete, where 1% of CSW modification can extend the fatigue life of recycled fine aggregate concrete by 56.5%. Furthermore, the fatigue life of concrete under cyclic loading decreases rapidly as the maximum stress level increases. Fatigue life equations were established with double logarithmic curves, and P-S-N curves considering different survival probabilities (p = 0.5, 0.95) were derived. Microscopic analyses demonstrate that the CSW has a “bridging” effect at micro-seams in the concrete matrix, delaying the generation and enlargement of micro-cracks in the concrete matrix, thus resulting in improved mechanical properties and flexural fatigue resistance of the recycled fine aggregate concrete.

Resistive switching characteristics of interfacial device based on Bi2Ti2O7 film

To solve the problem of information storage and explore a new generation of memory, Au/Bi2Ti2O7/NiO/ITO (Indium tin oxide semiconductor) resistive variable memory is fabricated and its resistive switching characteristics are studied. The device has diode-like rectifier characteristics and shows good durability and stability under 100 cycles of read−and−write tests. At the reading voltage of 0.44 V, the resistive switching ratio of the device reaches 102. Combining the O 1 s spectrum of XPS and further analyzing the I − V double logarithmic curve, it is found that the conduction mechanism of the device is mainly related to the ohmic conduction mechanism and the space charge limiting current mechanism, and its resistive switching behavior is related to the migration of oxygen vacancies to change the interface barrier.

Using Linear Flow Parameter Initial Rate Method to Optimize Completion Design of Western Canada’s Montney Tight Gas Reservoir

Since 2007, the horizontal well staged fracturing technology has been widely used in the development of tight sandstones in the Deep Basin Montney reservoir of Western Canada Basin. The horizontal length of the horizontal well, the amount of proppant added to the fracturing and completion, the frac stage spacing, and the choice of open-hole completion or casing completion have become important factors in the optimization of completion design. LFPIR (Linear Flow Parameter Initial Rate) is observed through the double logarithmic curve of the natural gas production data of the well. After the development enters the stable linear flow stage, the linear flow corresponding to the ideal situation can be obtained when the initial production rate in this stage is inversely extended to tD≈0. The LFPIR depends on the stimulated volume of the reservoir after fracturing, and the completion effect directly affects the size of the stimulated reservoir. The completion quality of the well can be judged by studying the LFPIR of the developed Montney horizon well in the Heritage area. By comparing the LFPIR of wells with different completion designs, optimize the completion design in the tight gas reservoirs.

Improvement of barium tungsten cathode and investigation of thermionic emission performance

<sec>The Ba-W cathode consists of the porous W matrix and the aluminate. During cathode operation, the Ba atoms are generated in the pores through the thermal reaction between the W and aluminate, and then diffuse along the pore channels to the W surface, lowering the work function. Therefore, the Ba yield and the Ba diffusion are significantly influenced by the micro pore structure of the matrix and the phase composition of the aluminate.</sec><sec>Firstly, the matrix is fabricated with the narrow particle size distribution powder by the spark plasma sintering (SPS) technique, which shows the narrow pore size distribution (FWHM = 0.43 μm). Then the spherical powder with good fluidity and high tap density is prepared using the RF induction thermal plasma. The matrix prepared with spherical powder exhibits narrower pore size distribution (FWHM = 0.4 μm), smooth pore channels and good inter-pore connectivity. The two matrixes prepared with narrow particle powder and spherical powder are named N-matrix and S-matrix, respectively.</sec><sec>The aluminates are prepared using the solid phase method and the liquid phase method, separately. The particles of solid phase aluminate precursor present all shapes and all sizes, while the particles of the liquid phase aluminate precursor are uniform in size and identical in shape. The phase of solid phase aluminate and the phase of liquid phase aluminate are analyzed by XRD, the results show that the former consists of the effective Ba<sub>3</sub>CaAl<sub>2</sub>O<sub>7</sub> phase and other impurity phases, while the latter is composed of two effective phases of Ba<sub>3</sub>CaAl<sub>2</sub>O<sub>7</sub> and Ba<sub>5</sub>CaAl<sub>4</sub>O<sub>12</sub>.</sec><sec>The N+S and S+S cathodes are obtained by using the solid phase aluminate to impregnate the N-matrix and the S-matrix, and the <i>U</i>-<i>j</i> characteristics of the two cathodes are investigated. The double logarithmic curves of <i>U</i> and <i>j</i> show that the slope of 1.37 in the space charges limited (SCL) region for the S + S cathode is higher than that of 1.25 for the N+S cathode, so the S+S cathode exhibits better emission uniformity. The current density at the deviation point (<i>j</i><sub>DEV</sub>) of the N+S cathode and that of the S+S cathode are 6.6 A·cm<sup>–2</sup> and 6.96 A·cm<sup>–2</sup>, respectively. So the improvement on the matrix obviously raises the emission uniformity of cathode, but the current density is increased less.</sec><sec>Based on the excellent matrix of the S+S cathode, the S+L cathode is obtained by improving the aluminate of the S+S cathode with liquid phase aluminate. The <i>U</i>-<i>j</i> characteristics show the slope of the S+L cathode reaches to 1.44, and the <i>j</i><sub>DEV</sub> is 21.2 A·cm<sup>–2</sup>. So the improvement on the aluminate not only increases the uniformity, but also raises the current density.</sec><sec>The present study shows that the <i>U-j</i> curve calculated from the classical thermionic emission (TE) theory accords well with that of the S + L cathode at 1000 ℃, which indicates that the Ba-W cathode follows the classical TE theory rather than other emission theories, and the Ba-O dipole layer just changes the work function of the cathode.</sec>

An Analytical Method for Parameter Interpretation of Fracture Networks in Shale Gas Reservoirs considering Uneven Support of Fractures

In shale gas reservoirs, the production data analysis method is widely used to invert reservoir and fracture parameter, and productivity prediction. Compared with numerical models and semianalytical models, which have high computational cost, the analytical model is mostly used in the production data analysis method to characterize the complex fracture network formed after fracturing. However, most of the current calculation models ignore the uneven support of fractures, and most of them use a single supported fracture model to describe the flow characteristics, which magnifies the role of supported fracture to a certain extent. Therefore, in this study, firstly, the fractures are divided into supported fractures and unsupported fractures. According to the near-well supported fractures and far-well unsupported fractures, the SRV zone is divided into outer SRV and inner SRV. The four areas are characterized by different seepage models, and the analytical solutions of the models are obtained by Laplace transform and inverse transform. Secondly, the material balance pseudotime is introduced to process the production data under the conditions of variable production and variable pressure. The double logarithmic curves of normalized production rate, rate integration, the derivative of the integration, and material balance pseudotime are established, and the parameters are interpreted by fitting the theoretical curve to the measured data. Then, the accuracy of the method is verified by comparison the parameter interpretation results with well test results, and the influence of parameters such as the half-length and permeability of supported and unsupported fractures on gas production is analyzed. Finally, the proposed method is applied to four field cases in southwest China. This paper mainly establishes an analytical method for parameter interpretation after hydraulic fracturing based on the production data analysis method considering the uneven support of fractures, which is of great significance for understanding the mechanism of fracturing stimulation, optimization of fracturing parameters, and gas production forecast.

Pore structure representations based on nitrogen adsorption experiments and an FHH fractal model: Case study of the block Z shales in the Ordos Basin, China

Shale oil/gas is a crucial development in the exploitation of unconventional reservoirs. However, owing to the small pore size and complicated structure, finding an inexpensive and accurate method of accurately representing the pore structure has become an important issue. This paper summarizes and compares the current popular shale pore structure research methods and investigates three rock samples from well Z-1 and two rock samples from well Z-2 in block Z in the Ordos Basin, China. The components of the shale were analyzed using X-ray diffraction. In addition to the Brunauer–Emmett–Teller theory, there are also the Barrett, Joyner, and Halenda theoriesfor mesopores and the Horvath and Kawazoe method for macropore. Based on these theories, the pore size distribution was analyzed using nitrogen adsorption experiments at low temperatures. According to the fractal model of Frenkel–Halsey–Hill, the characteristics of the shale pore structure were studied. The fractal dimension values of single and bilinear segments fitted by double logarithm curves were applied to describe the fractal features of the pores, and the differences were compared. The relationship between the fractal characteristics and the pore parameters was analyzed. The outcomes of the tests indicate that the shale is mainly comprised of kaolinite, illite, and quartz, and the N 2 adsorption curves are type IV. There are hysteresis loops, which indicate the occurrence of multi-layer adsorption. The fractal analysis revealed that the shales have significant fractal characteristics, which are chiefly affected by the mesopores and macropores. Otherwise, the fractal dimension values of the single line segment D and the bilinear segments D1 and D2 generally consistently represent the fractal pore features. Relationships were found between the pore parameters and the fractal dimensions. • A convenient and low-cost way is used to characterize the pore structure of shale. • The fractal characteristics of pores are described by using FHH model of fractal theory. • The relationships between pore structure parameters and fractal dimensions are found. • Similarities and differences between different fitting linear segments of double logarithmic curves are found and compared. • The boundary points of pore size which leads to the changes of pore fractal characteristics are found.

Resistive switching in Al2O3 based trilayer structure with varying parameters via experimentation and computation

Resistive switching characteristics in Al (40 nm)/Al2O3 (x nm)/Ni (50 nm) were analyzed while the middle layer thickness is varied from 5 nm to 20 nm with an increment of 5 nm each. Al/Al2O3/Ni with a total thickness of 100 nm showed the most prominent results. The current compliance was 100 mA while the voltage range for each design varied in the range of ±4 V, showing bipolar resistive switching. The double logarithmic curves indicated the presence of the Ohmic conduction and space-charge limited current mechanism. Moreover, density functional theory based calculations were performed for aluminum oxide with induced oxygen vacancy defects. The structures with oxygen vacancies showed that the nature of aluminum oxide was converted to semi-conducting from insulating, i.e., the bandgap was decreased from ∼6 eV to ∼0.6 eV. Density of states displayed that the atoms neighboring the oxygen vacant sites are responsible for a shift in states toward the valence band and Fermi level. Formation of a conduction filament (CF) is found essential for conduction in resistive random access memory (RRAM), and the computational analysis clarified that induction of oxygen vacancies is vital for the formation of CF. Finally, this work presents a detailed discussion and understanding of resistive switching in aluminum oxide-based RRAM, which is significant in the advancement of non-volatile data storage application.

Effect of oxygen vacancy gradient on ion-irradiated Ca-doped YMnO3 thin films

In this study, we investigate the effect of ion irradiation on Y0.95Ca0.05MnO3 (YCMO) thin films. X-ray diffraction and Raman spectroscopy measurements show single-phase and strain/stress modifications with ion irradiation. Rutherford backscattering spectrometry confirms the variation in oxygen vacancies. The near-edge x-ray absorption fine structure shows valence state reduction of Mn ions, which is attributed to oxygen vacancies. The optimal resistive switching ratio is observed at the lowest fluence (1 × 1011 ions/cm2) of ion irradiation. At higher fluences (1 × 1012 and 1 × 1013 ions/cm2), the strain relaxation and oxygen vacancy annihilation are ascribed to the local annealing effect. The double logarithmic curve and modified Langmuir–Child's law satisfy the space charge limited conduction mechanism in all thin films. These results suggest the crucial role of irradiation-induced oxygen vacancies in modifying the electronic structure and electrical properties of YCMO thin films.

Experimental System of Hydrodynamic Action of Dunhuang Mogao Grottoes under Temperature-Humidity-Mechanical (THM) Coupling

In order to thoroughly investigate the weathering mechanism of the murals in Dunhuang Mogao Grottoes, based on the independently developed hydrodynamic test system of the surrounding rocks under the combined action of temperature, humidity, and stress, this study performed the liquid water adsorption test and gaseous water adsorption test of the surrounding rocks of the support body of Dunhuang Mogao Grottoes, as well as the softening test of the strength of liquid water adsorbed by the rock samples. The experimental results are as follows: (a) Q–t curve and lnw–lnt curve of the three types of black sandstone rock samples obtained by analyzing the nonpressure water absorption experiment data indicate that the Q–t curve of the rock samples showed a similar trend with time, with the initial curve being steep and rapid increase in the water absorption; the double logarithmic curve of water absorption is convex and tends to be saturated. (b) The absorbing water softening test analysis was carried out for four types of siltstone specimens with intensity of pressure; bibulous rate was found to vary with time, and sample parameters such as compressive strength and elastic modulus decreased linearly with increasing water absorption at different times of uniaxial compression test. (c) Through the summer and winter and cave surrounding rock within the sample, the gas adsorption of water simulation was combined with the adsorption curve analysis, indicating that the adsorption characteristics of the surrounding rock and the correlation of larger sample depend on season. These research results provide a reliable theoretical basis and technical support for the protection of the murals in the Mogao Grottoes of Dunhuang and the prevention and control by salt damage.

Praćenje korona virusa COVID-19 slično je instrumentalnom letenju

Introduction/purpose: To monitor the COVID-19 epidemic in every single country in the world, this team has developed a specific system that consists of the following diagrams and mathematical models: a) epidemiological curve, b) histogram of infected people, c) histogram of infected people in last five days, d) double logarithmic curve for monitoring the speed of the epidemic, e) epidemic pipeline and f) Gaussian and Boltzmann S curves. As it is shown in this paper, monitoring an epidemic is like flying a plane using instruments. Methods: The most complex model is the calculation of the truncated Gaussian curve, and this model will be discussed in more detail in this paper. Also, there is time coincidence between the Gaussian curve and the S-curve. The input data were found in the World Health Organization's daily reports. The full set of data consists of the Gaussian curve, the double logarithmic curve, and the epidemic curve. In some cases, using only one of the three specified parameters is not enough. Results: To prove a specified methodology, the paper has dozens of results in the form of diagrams. Conclusion: The Gaussian curve was formed, and the end of the epidemic was calculated. But, in some cases, the epidemic curve was not well-formed (the end of the epidemic is not clear since many countries did not declare the number of recovered people in a proper way). This is the reason why we must include a flow of the double logarithmic curve into consideration. Only a combination of these three diagrams can give the right insight into the right decision.

利用试井双对数曲线计算缝洞型油藏动态储量的方法

利用试井双对数曲线计算缝洞型油藏动态储量的方法

Evaluation of Asymmetric Fractures on Acid Fracturing Well

Because of the heterogeneity of acid corrosion, acid fracturing effect is difficult to assess, and how to make use of acid fracturing construction data to guide fracturing design have always been concerned by scientific researchers. Several shutdown processes have been existed in acid fracturing construction, this is similar to the process of injection and falloff well test. In this paper, basic principle of seepage mechanics and injection pressure drop well test interpretation theory are used to establish injection pressure drop mathematical model with considering the influences of asymmetric fractures. The influence of asymmetric fracture geometry and fracture number on pressure double logarithmic curve have been analyzed. The method presented in this paper to analyze the pressure drop data can better explain the fracture parameters and general effect of acid fracturing construction.

A NOVEL METHOD TO IDENTIFY THE SCALING REGION OF ROUGH SURFACE PROFILE

Scaling region identification is of great importance in calculating the fractal dimension of a rough surface profile. A new method used to identify the scaling region is presented to improve the calculation accuracy of fractal dimension. In this method, the second derivative of the double logarithmic curve is first calculated and the [Formula: see text]-means algorithm method is adopted to identify the scaling region for the first time. Then the margin of error is reasonably set to get a possible scaling region. Finally, the [Formula: see text]-means method is used again to obtain a more accurate scaling region. The effectiveness of the proposed method is compared with the existing methods. Both the simulation and experimental results show that the proposed method provides more precise results for extracting the scaling regions and leads to a higher calculation precision of fractal dimensions.

Numerical Analysis of Transient Pressure Behaviors with Shale Gas MFHWs Interference

After the large-scale horizontal well pattern development in shale gas fields, the problem of fast pressure drop and gas well abandonment caused by well interference becomes more serious. It is urgent to understand the downhole transient pressure and flow characteristics of multi-stage fracturing horizontal well (MFHW) with interference. Therefore, the reservoir around the MFHW is divided into three regions: fracturing fracture, Stimulated reservoir volume (SRV), and unmodified matrix. Then, multi-region coupled flow model is established according to reservoir physical property and flow mechanism of each part. The model is numerically solved using the perpendicular bisection (PEBI) grids and the finite volume method. The accuracy of the model is verified by analyzing the measured pressure recovery data of one practical shale gas well and fitting the monitoring data of the later production pressure. Finally, this model is used to analyze the effects of factors, such as hydraulic fractures’ connectivity, well distance, the number of neighboring wells and well pattern arrangement, on the transient pressure and seepage characteristics of the well. The study shows that the pressure recovery double logarithmic curves fall in later part when the well is disturbed by a neighboring production well. The earlier and more severe the interference, the sooner the curve falls off and the larger the amplitude shows. If the well distance is closer, and if there are more neighboring wells and interconnected corresponding fracturing segments, the more severe interference appears among the wells. Moreover, the well interference may still exist even without interlinked fractures or SRV. Especially, severe interference will affect production when the hydraulic fractures are connected directly, and the interference is weaker when only SRV induced fracture network combined between wells, which is beneficial to production sometimes. When severe well interference occurs, periodic well shut-in is needed to help restore the reservoir pressure and output capacity. In the meanwhile, the daily output should be controlled reasonably to prolong the stable production time. This research will help to understand the impact of well interference to gas production, and to optimize the well spacing and achieve satisfied performance.

An Sand Plug of Fracturing Intelligent Early Warning Model Embedded in Remote Monitoring System

In recent years, data mining technology has been widely used in different fields. For petroleum industry, the application of data mining method not only can analyze the data faster and more accurately but also can reduce the defects such as misjudgment and missed judgment caused by relying on artificial monitoring. Fracturing is one of the key techniques for increasing petroleum production. Due to the contingency of the abnormal variation of the fracturing construction curve, there is also a large lag and contingency by using the construction curve for sand block warning. Frequent false alarms and delayed alarms often occur. Therefore, the paper proposes an early-warning method of the sand plug of fracturing based on data mining. First, an early warning model of double logarithmic curve sand plug of fracturing is established, and the time series analysis algorithm is used to predict the oil pressure and casing pressure in the double logarithmic curve sand plug of fracturing risk warning model, so the early warning accuracy is improved. And then the general regression neural network (GRNN) algorithm is designed to optimize the prediction results of the time domain analysis. The improved affinity propagation (AP) clustering algorithm is used to cluster the monitoring data to help to improve the accuracy of the subsequent slope calculation, so as to improve the coincidence rate of the fracturing and sand plug risk. Finally, the risk warning model is applied and analyzed on site, and the validity and accuracy of the model are verified. The model is embedded in the remote monitoring system to realize online remote intelligent monitoring of risks by urban office workers.

He Relationship between Carbonate Reservoir Unit Features and Well Test Double Logarithmic Curves

he Relationship between Carbonate Reservoir Unit Features and Well Test Double Logarithmic Curves

Investigation on the size and fractal dimension of nano-pore in coals by synchrotron small angle X-ray scattering

Coal is a heterogeneous porous medium with complex pore structures. These pore structures directly influence the adsorption, desorption and migration of gas in coal reservoirs. The characteristics of pore structure play an important role in various aspects of coal utilization including extraction of methane from coal seams, CO2 sequestration in coal and water purification by activated carbon. In this paper, the synchrotron small angle X-ray scattering (SAXS) was applied to test micropore structure (1–100 nm) in six coal samples with different ranks. In the experiment, the particle size of coal powder was 60–80 mesh. The recorded SAXS two dimensional images were processed and quantitatively converted into one dimensional scattering data using FIT2D software. Based on the corrected SAXS data, the pore size distribution and specific surface area were quantitatively estimated. The Porod scattering curves, Guinier scattering curves, pore size distribution, specific surface area, and fractal characteristics of six coal samples were explored and analyzed. The results indicate that the SAXS data of six coal samples show the positive deviation of Porod theory. This observation proves that there are additional density fluctuations in the coals. Thus, the original SAXS data essentially needs to be corrected to achieve the true scattering results. The polydisperse distribution of micropores is observed based on the Guinier curves of six coal samples. Moreover, the pore size distribution of tested coals was analyzed based on the maximum entropy theory and the “double peaks” feature was observed. Both the average pore diameter and the most probable pore diameter of the tested samples decrease with the increase of coal ranks, which is consistent with the results proved by the methods of mercury injection and low temperature nitrogen adsorption. The fractal dimension of micropores in the tested coal samples was also discussed. According to the double logarithmic curves which shows the realationship between scattering intensity I and the scattering vector q , through different range of q value, method of tangent double logarithm is adopted to get the corresponding q value range of fractal dimension of coal pore. The surface fractal dimensions of micropores were calculated and presented as the scattering vector q stating at the relative lower value. However, the pore fractal dimension related to the distribution of micropores was presented as the scattering vector q rising to the relative higher value. It was found that the surface fractal dimension of micropores experience decreasing firstly, then increasing and finally drop again with the increase of coal ranks. The pore fractal dimension of micropores decreases at beginning and then increases with the rise of coal ranks. It is also found that the minimum value of pore fractal dimension appears as the R o,max equals to 2.07% based on the current test results. SAXS is a powerful tool to study the micro pore structure of coal, however it is necessary to point out that the small angle scattering data processing methods, different processing methods or theories have advantages and limitations. Therefore, in the follow-up study, increasing the sample number and variety of different metamorphic degree of coal, the pore size, the ratio surface area with the metamorphic degree of variation is more abundant and exact.

Resistive Switching in All-Printed, Flexible and Hybrid MoS2-PVA Nanocomposite based Memristive Device Fabricated by Reverse Offset.

Owing to the increasing interest in the nonvolatile memory devices, resistive switching based on hybrid nanocomposite of a 2D material, molybdenum disulphide (MoS2) and polyvinyl alcohol (PVA) is explored in this work. As a proof of concept, we have demonstrated the fabrication of a memory device with the configuration of PET/Ag/MoS2-PVA/Ag via an all printed, hybrid, and state of the art fabrication approach. Bottom Ag electrodes, active layer of hybrid MoS2-PVA nanocomposite and top Ag electrode are deposited by reverse offset, electrohydrodynamic (EHD) atomization and electrohydrodynamic (EHD) patterning respectively. The fabricated device displayed characteristic bistable, nonvolatile and rewritable resistive switching behavior at a low operating voltage. A decent off/on ratio, high retention time, and large endurance of 1.28 × 102, 105 sec and 1000 voltage sweeps were recorded respectively. Double logarithmic curve satisfy the trap controlled space charge limited current (TCSCLC) model in high resistance state (HRS) and ohmic model in low resistance state (LRS). Bendability test at various bending diameters (50-2 mm) for 1500 cycles was carried out to show the mechanical robustness of fabricated device.