Slug Volume Research Articles

Analyzing rain erosion using a Pulsating Jet Erosion Tester (PJET): Effect of droplet impact frequencies and dry intervals on incubation times

Accelerated laboratory testing is essential to understand the rain erosion behavior of coated samples applied to the leading edge surface of a wind turbine blade. This study investigates the impact of droplet impact frequencies and dry intervals on the incubation time for damage on polyurethane-coated samples using a Pulsating Jet Erosion Tester (PJET). A novel theoretical model for water slug volume is introduced, allowing for a more accurate comparison across different impact velocities and frequencies. The effect of dry intervals on coating performance is quantified, revealing that longer dry intervals and shorter pre-dry rain exposure can significantly increase the number of impacts a coating can withstand before damage. The study challenges the traditional continuous impingement testing by demonstrating that dry intervals can extend incubation time by a factor of three to five. Additionally, this paper proposes a recalibrated approach to PJET testing, which better mimics the cyclic nature of real-world rainfall, leading to improved predictive models for material degradation. The findings emphasize the importance of considering the visco-elastic behavior of coatings and the role of intermittent rain exposure in erosion testing, offering invaluable insights for designing future PJET test parameters.

Bypass pigging technology in improving pigging safety and efficiency: Principles, progress, and potentials

Bypass pigging is a promising strategy to improve pipeline flow assurance by eliminating pigging-generated slugs and reducing pig velocity. This paper provides a comprehensive analysis of the fundamentals, recent progress, and prospects of bypass pigging for enhancing pigging safety and efficiency in gas pipeline systems. A model of bypass pigging motion is developed based on momentum balance, incorporating key factors that affect performance. Recent studies of the influence of the bypass fraction, pressure drop coefficient, and friction force on pigging performance are discussed. The pressure drop coefficient, crucial for accurate dynamic pigging simulation, depends primarily on the pig bypass structure. The impact of variations in the bypass fraction on pig velocity, a significant factor affecting pigging performance, is analyzed. Higher bypass fractions lead to lower pig velocities, resulting in improved pigging efficiency. However, the risk of pig blockage increases owing to the decreased driving gas force at a higher bypass fraction. Therefore, the use of bypass pigs with anti-blocking capability is necessary to enhance overall flow assurance. The paper also highlights the quantifiable benefits of bypass pigging in reducing pig velocity and the pigging-generated slug volume. The prospects for further development of bypass pigging are also discussed. This study aims to comprehensively elucidate the bypass pigging strategy, promoting its wider implementation in natural gas pipelines to enhance pigging efficiency and safety.

Automatic measurement of slug flow processes from in‐line videos

AbstractSlug flow processes draw much attention in chemical and pharmaceutical manufacturing thanks to their ability to eliminate downtime costs and batch‐to‐batch variation. Using in‐line video can monitor the current process status and improve the stability of the slug flow. However, there are no effective image processing methods aiming at such videos from chemical experiments due to limited training sample size and the variety of experimental settings. The paper proposes a training‐free method to automatically detect and measure the slugs from in‐line videos. Multiple image features are fused to identify the slug shapes under various lighting conditions, a six‐point model is fitted to achieve better volume estimation, and a consistency score is estimated to quantify the detection uncertainty. The proposed algorithm achieves similar results to manual labeling for various types of slug flow processes, improving the accuracy of slug column estimation by a large margin compared to the existing automatic methods. Finally, using it to monitor the slug flow process's stability and the change of the slug volume in an injection point are demonstrated. The method not only shows that handcrafted image features have the capability for detection and segmentation from chemical experiment images but also paves the road for a training‐based algorithm for the task.

Optimization procedure for conformance control

The article is devoted to the development of an optimization procedure for conformance control treatment. Currently, due to the significant share of reservoirs with high water cut, it is relevant to use methods that allow reducing the rate of production water cut increase. One of the most common methods to do this is to improve conformance by injecting suspension into the reservoir. The classical model of deep bed suspension migration has shown itself well for calculating the technological parameters of treatment, but it does not contain criteria for optimizing the process. The introduction of such criteria and their physical justification is the purpose of this work. The following objectives were set: modification of the classical model of deep bed suspension migration for layered strata, introduction of criteria of suspension treatment efficiency, and optimization of the process. Mathematical model consists of mass conservation laws and Darcy’s law. Initial data were selected for one of the fields in West Siberia, where suspension treatments were carried out to improve conformance. The field experience of these treatments is analyzed, the wells where the treatment was successful are determined. The new criterion for the effectiveness of suspension treatment is introduced. This criterion is the difference in the standard deviations of the flow rate along the layers before and after the treatment. It is established that this difference more clearly demonstrates the injectivity profile exchange than the classical Dykstra-Parsons criterion. The optimization procedure allows assessing the required slug volume that provides the maximum injectivity profile redistribution.

Numerical Simulation Study on In‐Depth Profile Control of Core–Shell Coagulation System Considering the Time‐Variation of Permeability

The coring data in high water‐cut oilfields indicates that the reservoir permeability will change continuously with water flooding, while the existing reservoir numerical simulation software cannot consider the time‐varying phenomenon of permeability. With the enhancement of reservoir heterogeneity, the near‐wellbore profile control fails to stabilize the oil production and control the water cut. The in‐depth profile control has been widely used in oilfields as a new technology, and the types of profile control agents are diverse, with a complex mechanism that cannot be effectively described by the existing conventional numerical simulation software. Considering these two phenomena comprehensively, a new three‐dimensional, three‐phase, six‐component mathematical model that can take into account the time‐varying phenomenon of reservoir permeability is proposed for a new kind of in‐depth profile control system, namely, the core–shell coagulation system, and an integrated numerical simulation software is developed. The mechanism of the in‐depth profile control system can be perfectly demonstrated in the simulator with time‐variation of permeability. The results of sensitivity analysis show that the effect is influenced by three factors: the mix slug injecting concentration, the coagulant aid slug volume, and the concentration of the suspension dispersing agent.

Well-scale experimental and numerical modeling studies of gas bullheading using fiber-optic DAS and DTS

Bullheading is an effective well control technique to pump produced fluids back into the formation during drilling and completion operations to regain well control. However, existing bullheading procedures are often based on a trial-and-error approach due to the complexity of modeling counter-current gas flow mechanisms in well control simulators and the lack of empirical bullheading datasets in full-scale conditions. To address this gap, a 5163-ft-deep experimental wellbore was utilized to conduct bullheading tests using nitrogen and water to simulate a “gas below BOP” scenario. We present a novel application of fiber-optic distributed acoustic sensor (DAS) and distributed temperature sensor (DTS) in facilitating the measurement and monitoring of gas slugs in the wellbore for an improved understanding and modeling of the gas bullheading processes.Full scale tests were performed by injecting a nitrogen slug into the wellbore annulus which was bullheaded with water while taking returns via tubing. A detailed analysis of the bullheading data for two different gas slug volumes and bullheading rates is presented. DTS and DAS data were analyzed using a variety of time- and frequency-domain signal processing techniques to estimate displacement velocities and changing gas slug lengths during injection, subsequent expansion, and displacement in the annulus. Numerical simulations were also performed for an improved understanding of the bullheading processes using a drift flux model (DFM)-based transient multiphase flow simulator modified for counter-current flow situations. Different gas slip models, used in the DFM, were benchmarked for the best match with the DAS and DTS measurements obtained from the bullheading experiments. The data from downhole pressure gauges were also compared to the DAS and DTS measurements as well as the results from numerical simulations and satisfactory agreements was obtained.This study demonstrates a novel application of DAS and DTS in obtaining high-resolution spatial-temporal measurements for the facilitation of improved understanding and modeling of well-scale bullheading hydrodynamic behaviors. The evaluation, selection, and calibration of transient multiphase flow sub-models used in this study improved the understanding of the counter-current flow in a well and provided references for applying the DFM in simulating bullheading operations.

Investigation of CO2 storage and EOR of alternating N2 and CO2 injection using experiments and numerical simulation

The feasibility of N2 alternating CO2 injection was investigated for improving CO2 storage and oil production. Schemes of continuous CO2 injection and N2 alternating CO2 injection were evaluated using laboratory experiments and numerical simulation. According to the core flooding experiments, the CO2 storage factor and enhanced oil recovery of N2 alternating CO2 flooding were 2.1% and 7.1% lower than continuous CO2 injection. The larger the N2 slug volume in N2 alternating CO2 injection, the lower the EOR and CO2 storage factor due to the reduction of CO2 concentration in the gas phase and CO2 solubility in oil and water. However, the N2 slugs in N2 alternating CO2 injection significantly reduced mobility differences between different flowing zones, and thus can increase the gas swept area in an oil reservoir. The gas swept area of the oil reservoir under N2 alternating CO2 injection mode is 1.78 times that of continuous CO2 injection, resulting in a 44% higher cumulative oil production. Besides, the scheme of N2 alternating CO2 injection was optimized and resulted in 19.6% more CO2 storage than continuous CO2 flooding at a field scale. This study provides valuable experimental and theoretical support for improving CO2 storage and oil production in an oil reservoir.

A novel study on bypass module in self-regulated pipeline inspection gauge to enhance anti-blocking capability for secure and efficient natural gas transportation

Bypass pigging technology is an emerging strategy with promising potential to reduce the velocity of pipeline inspection gauge (PIG) and mitigate pigging-induced slug volume for oil and gas transportation systems. Nonetheless, the critical issue of bypass pigs being blocked in pipelines is a major concern for wide implementations of this new technology. To this end, this study newly proposes an intelligent self-regulated bypass pig prototype by developing an internal bypass regulating module to enhance the anti-blocking capability for pigging operations. To facilitate the optimal design of the bypass regulating module, force variation characteristics of the bypass valve in blocked bypass pigs are of great significance. Accordingly, this study thoroughly investigates bypass valve forces for bypass pigging under the blockage status both experimentally and numerically. The experimental results show that an increase in gas velocity can almost linearly increase the valve force, which is mainly affected by the driving gas flow rate. Specifically, when the gas velocity increases from 1.26 to 4.4 m/s, the valve force can be increased from 1.46 to 12.88 N on average. In addition, a CFD-based numerical model was developed and experimentally validated to calculate valve forces. The numerical model, which has the mean bias error below −0.886 N with the index of agreement over 0.98, can be used as an effective approach to valve force analyses. Finally, the optimal design scheme for bypass pigging with anti-blocking capability was proposed, which can considerably facilitate the secure and efficient pigging performance and natural gas transportation.

Hydrodynamics and mass transfer studies of liquid-liquid two-phase flow in parallel microchannels

Parallel or multiple microchannels (PMC) are being tried for high throughput operations. Extremely fewer reports on liquid/liquid two-phase flow in PMC exists in the open literature compared to the gas/liquid flow especially utilizing the new designs. In this work, a bifurcation-based PMC was employed to study hydrodynamics and the mass transfer aspect of solvent extraction of propionic acid. Slug formation, slug volume, specific surface area, extraction efficiency and mass transfer coefficients were evaluated. PMC exhibited better results than the single microchannels (SMC), making them superior in performance than the SMC. The standard deviation for uniform flow distribution is within 2%. A maximum specific surface area was obtained in PMC than the single channels, which is 10513 m2/m3. Similarly, the maximum extraction efficiency of 98% is achieved in PMC at flow rates 16 times higher than the SMCs. The overall pressure drop in PMC is significantly less than in the SMCs. Thus PMC is a suitable choice for process intensification in process industries.

Kinetic Model and Numerical Simulation of Microbial Growth, Migration, and Oil Displacement in Reservoir Porous Media.

Microbial enhanced oil recovery (MEOR) is a potential tertiary oil recovery method. However, past research has failed to describe microbial growth and metabolism reasonably, especially quantification of reaction equations and operating parameters is still not clear. The present study investigated the ability of bacteria extracted from Ansai Oilfield for MEOR. Through core flooding experiments, bacteria-treated experiments produced approximately 6.28–9.81% higher oil recovery than control experiments. Then, the microbial reaction kinetic model was established based on laboratory experimental data and mass conservation. Furthermore, the proposed model was validated by matching core flooding experiment results. Lastly, the effects of different injection parameters on bacteria growth, bacteria migration, metabolite migration, residual oil distribution, and oil recovery were studied by establishing a field-scale model. The results indicate that the injected bacteria concentration and nutrient concentration have a great influence on bacteria growth in a reservoir and the low nutrient concentration seriously restricts bacteria growth. Compared with the injected bacteria concentration, nutrient concentration has a decisive effect on bacteria and metabolite migration. The injected bacteria concentration has little effect on oil recovery, while nutrient concentration and slug volume have a significant effect on oil recovery.

An improved solution to flow assurance in natural gas pipeline enabled by a novel self-regulated bypass pig prototype: An experimental and numerical study

Bypass pigging is an emerging strategy in effectively overcoming inherent issues of high pig speed and overflow of pigging-induced slug volume concomitantly caused by traditional pigging for natural gas pipelines, which is attracting wide attention for flow assurance in oil and gas industry. In view of most bypass pigs with simple bypass structures, the risk of pig stalling or pipeline blockage accidents can be encountered when suffering from increased resistance forces. Accordingly, a novel bypass pig prototype with a self-regulated module is proposed in this study as an improved solution to strengthening pigging safety, efficiency and flow assurance. A self-regulated, easily assembled bypass pig prototype was fabricated for experimental studies in a horizontal transparent gas pipeline system. The pressure mitigation and pig velocity characteristics were fully evaluated under varying bypass fractions. Specifically, when the bypass fraction increases from 0% to 3%, the average pig velocity can be reduced by 64.3–81.5% and pressure fluctuations are more stable. Besides, as an important structural parameter in affecting pig velocity and accuracy of dynamic pigging simulation, the pressure drop coefficient of gas through the bypass pig structure with an internal regulating valve was numerically studied. Compared to the common bypass pig with only a simple bypass port, the addition of the bypass regulating valve will notably increase the pressure drop coefficient. In particular, when the bypass fraction is increased to 7%, pressure drop coefficients for the bypass pig without or with an internal valve are 1.03 and 1.97, respectively, with the deviation of 90.9%. Finally, an optimal design scheme for bypass pigging operations was newly proposed to optimize bypass fractions in accordance with practical scenarios. This study can provide an effective pathway towards the implementation of self-regulated bypass pigging technology in substantially improving flow assurance of natural gas pipeline systems.

Effects of ethylene glycol on hydrate formation in subsea pipelines

This study evaluated the effect of Mono-Ethylene Glycol (MEG) on hydrate formation conditions in subsea pipelines for a typical gas deepwater field in Nigeria, using a flow assurance simulator 'PIPESIM'. At the turndown, normal and maximum conditions, the production rates were 1640, 2460, and 3280 sm3/day, respectively. The wellhead temperature varies between 50-55oC, and the inlet pressure at the wellhead is 25 bara. The outlet pressure at the topside facility must be 11 bara and above to achieve flow. From available flowline internal diameters of 0.24, 0.29, and 0.34m, a simulation was run to determine a suitable internal diameter which will not lead to erosion due to the velocity. In deciding the hydrate formation temperature, the wellhead pressure of 25 bara was utilized to run the estimation. Also, in determining the minimum MEG volume required to achieve flow above a hydrate appearance temperature of 30 °C, a simulation was run at MEG volumes of 0, 10, 20 and 30 wt%. From the simulations, hydrates were observed to form at a temperature of 11.4 °C, at the minimum MEG volume of 30wt%. The 30wt% MEG suppressed the hydrates to a temperature of 8.9 °C. A slug volume of 8.5m3 was observed to be adequate to ensure fluid transport to the topside. This work's outcomes and findings also suggest a flowline inner diameter of 0.29m, an overall heat transfer coefficient of 0.81W/m2oC, and an optimum flow rate of 3280 sm3/day to avoid temperature drop to be optimum for flow assurance.

Effects of Channel Hydraulic Diameters and Flow Ratios of Two‐Phase Flow in Y‐Junction Microchannels

AbstractThe hydrodynamics of two‐phase flow of a water‐cyclohexane immiscible system with and without obstruction of Y‐junction microchannels under slug flow regime were studied numerically. Flow ratios of water and cyclohexane were varied in a wide range. The results indicate that the slug volume decreases linearly with an increase in flow rate of both fluids; however, the rate of declination in the slug volume for water is higher than that of cyclohexane. For a channel with smaller hydraulic diameter the decrease in slug volume was more pronounced at a constant velocity than that for a channel with a larger hydraulic diameter under identical conditions. The effect of fluid properties along the channel length were compared with existing results.

Co-Optimization of CO2 Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO2

CO2-based enhanced gas recovery (EGR) is an appealing method with the dual benefit of improving recovery from mature gas reservoirs and storing CO2 in the subsurface, thereby reducing net emissions. However, CO2 injection for EGR has the drawback of excessive mixing with the methane gas, therefore, reducing the quality of gas produced and leading to an early breakthrough of CO2. Although this issue has been identified as a major obstacle in CO2-based EGR, few strategies have been suggested to mitigate this problem. We propose a novel hybrid EGR method that involves the injection of a slug of carbonated water before beginning CO2 injection. While still ensuring CO2 storage, carbonated water hinders CO2-methane mixing and reduces CO2 mobility, therefore delaying breakthrough. We use reservoir simulation to assess the feasibility and benefit of the proposed method. Through a structured design of experiments (DoE) framework, we perform sensitivity analysis, uncertainty assessment, and optimization to identify the ideal operation and transition conditions. Results show that the proposed method only requires a small amount of carbonated water injected up to 3% pore volumes. This EGR scheme is mainly influenced by the heterogeneity of the reservoir, slug volume injected, and production rates. Through Monte Carlo simulations, we demonstrate that high recovery factors and storage ratios can be achieved while keeping recycled CO2 ratios low.

A Theoretical Analysis of Profile Conformance Improvement Due to Suspension Injection

This study is focused on a solution for the problem of suspension penetration in a porous formation. Such a solution forms the basis of injection profile diversion technology for oil reservoir sweep improvement. A conventional model of deep-bed suspension flow was used to describe the suspension injection process. The suspension slug was followed by water injection, and the inflow injection profile before and after treatment was investigated. For the first time, the criteria that determine the effectiveness of the inflow profile improvement process are introduced. The effect of the suspension filtration coefficient on the particle penetration depth was studied. A specific filtration coefficient value for the maximum penetration depth was achieved. The obtained analytical solution was generalized on multi-reservoir strata with poor interlayer crosslinking. The efficiency of profile conformance improvement was described by the differences in the root-mean-square deviations of the inflow velocities in interlayers from mean values before and after the treatment. It was shown that the complex criterion of suspension treatment efficiency should include a reduction in total injectivity. An increase in suspension slug volume improves the injectivity profile but decreases the total injectivity of an injector.

High conversion hydrogen peroxide microchannel reactors: Design and two-phase flow instability investigation

Novel micro-scale reaction devices are progressing in various applications. Whereas, specialized gas-producing reactors of high conversion at micro/mini scale remain challenging and are rarely explored, but are needed urgently in new generation vehicles and aerospace applications. In this work, two kinds of high-aspect-ratio flat channel (200 μm depth, 5.0 mm width, and 40.0 mm length) microreactors with platinum foil catalyst, named as inlet reactors and outlet reactors, are designed and tested for H2O2 decomposition. The wavelet transform method is applied to analyze the effects of reactant flow rate and pin–fin configuration on flow instability in both the time domain and the frequency domain. The inlet reactors utilize periodic flow pattern transitions to achieve an independence of conversion on reactant flow rate. For outlet reactors, the upstream compressible slug volume and the backflow are restricted by the pin–fin array, and thus the H2O2 decomposition reaches a conversion of 59.0% at 5 ml/h reactant flow rate. This conversion is 300% higher than those of H2O2 decomposition in microchannel reactors ever reported in the literature. The results from this work can be used for the design and manufacturing of micro-scale reactors for gas involved applications.

Research of the fluid flow regime during the milk pipeline washing

The aim of the research was to determine the change in the volume of fluid slug moving in the milk pipeline for calculating the initial length of the fluid slug and thus the air slug length. This allows to control the fluid and air inlet valve during circulatory washing of milking equipment with milk line and provides a stable plug flow during washing. The article deals with the problems of formation of a wave flow and plug flow regime in a milk line in dependance to the degree of filling and shear stress on the surface of the phases. As the result, the dependence curves have been obtained. They show that when the degree of filling the milk line with liquid is from 0.4d to 0.6d, the probability of slug formation decreases. To determine the loss of a fluid slug volume moving in a milk line, mathematical calculations with the use of the boundary layer theory have been carried out. As the result, the curves of the time of fluid and air intake into the system depending on the length and diameter of the milk pipeline have been obtained. These engineering calculation methods allow to set the operating parameters of the valves for fluid and air inlet into the system during washing. To calculate the parameters of pipelines with an internal diameter of 48, 63, 70 and 98 mm often used in milking equipment, a Delphi-based program was written. The article provides an example of calculating the time of opening and closing the valve for the inlet of fluid and air during washing for a milk line with 48 mm pipe diameter, 120 m length and pressure in the system of 48 kPa. Experimental studies have confirmed the reliability of the calculations, the loss of the liquid plug length for the milk pipeline Ø50. 8 mm is on average 5 cm per 1 meter of the fluid path.

Study on the regional characteristics during foam flooding by population balance model

Foam flooding is an effective method for enhancing oil recovery in high water-cut reservoirs and unconventional reservoirs. It is a dynamic process that includes foam generation and coalescence when foam flows through porous media. In this study, a foam flooding simulation model was established based on the population balance model. The stabilizing effect of the polymer and the coalescence characteristics when foam encounters oil were considered. The numerical simulation model was fitted and verified through a one-dimensional displacement experiment. The pressure difference across the sand pack in single foam flooding and polymer-enhanced foam flooding both agree well with the simulation results. Based on the numerical simulation, the foam distribution characteristics in different cases were studied. The results show that there are three zones during foam flooding: the foam growth zone, stable zone, and decay zone. These characteristics are mainly influenced by the adsorption of surfactant, the gas–liquid ratio, the injection rate, and the injection scheme. The oil recovery of polymer-enhanced foam flooding is estimated to be 5.85% more than that of single foam flooding. Moreover, the growth zone and decay zone in three dimensions are considerably wider than in the one-dimensional model. In addition, the slug volume influences the oil recovery the most in the foam enhanced foam flooding, followed by the oil viscosity and gas-liquid ratio. The established model can describe the dynamic change process of foam, and can thus track the foam distribution underground and aid in optimization of the injection strategies during foam flooding.

Low-Temperature Bitumen Recovery from Oil-Sand Reservoirs Using Ionic Liquids

Summary Steam injection is widely used for bitumen recovery. However, steam is not efficient for shallow or thin reservoirs because of heat loss in the wellbore or to surrounding formations. Numerous alternatives have been proposed, including the addition of solvents and replacement of steam with volatile solvents. Here, we describe a new technology that combines nonvolatile ionic liquids (ILs) and waterflooding for bitumen recovery that can deliver high recovery at ambient temperature. Different ILs were designed for complete dispersal/dissolution of bitumen at ambient temperature. The designed ILs were tested in coreflood experiments with high–grade oil–sand ore from Alberta. Two different scenarios were tested: continuous injection of ILs at different injection rates and injection of a slug of ILs followed by water injection. Different slug volumes were tested at a constant injection rate. After ILs injection, the oil sand was removed from the column, and the remaining bitumen was quantified using a modified Dean–Stark method. Viscosity and solid–content measurements of the recovered samples at breakthrough were conducted. Bitumen recovery by the designed ILs can be thought of as a solution mining process. Tuning the physical and chemical properties of the ILs is the most important aspect of achieving the desired interaction with the oil–sand system. Properties of the designed IL depend on the selected cation and anion, and the strength of their intermolecular interaction. Primary amines mixed with the oleic acid chosen for IL1 form a viscous IL that can recover bitumen, leaving a slight amount of bitumen behind, but a large pressure gradient. Changing the cation to tertiary amines produces significantly less–viscous ILs, which completely recover the bitumen in the oil–sand column. Moreover, the cation can be tailored to significantly minimize the fines (clay) migration and viscosity of the recovered bitumen and to provide compatibility with an aqueous phase. In all cases, these recoveries are significant, compared with the currently used technologies. This work proves that bitumen recovery from oil sand is possible at low temperatures by means of a process analogous to solution mining with the design of the proper ILs, in contrast to viscosity–reduction processes achieved by thermal methods. The properties of these ILs can be tuned for different recovery mechanisms. Thus, this work establishes the basis for developing a new class of in–situ recovery processes with high recovery efficiencies and low environmental impact.

Smoothing of Slug Tests for Laboratory Scale Aquifer Assessment—A Comparison among Different Porous Media

A filtering analysis of hydraulic head data deduced from slug tests injected in a confined aquifer with different porous media is proposed. Experimental laboratory tests were conducted in a large-scale physical model developed at the University of Calabria. The hydraulic head data were deduced from the records of a pressure sensor arranged in the injection well and subjected to a processing operation to filter the high-frequency noise. The involved smoothing techniques are the Fourier transform and two types of wavelet transform. The performances of the filtered hydraulic heads were examined for different slug volumes and four model layouts in terms of optimal fitting of the Cooper’s analytical solution. The hydraulic head variations in the confined aquifer were analyzed using wavelet transform in order to discover their energy contributions and frequency oscillations. Finally, the raw and smoothed hydraulic heads were adopted to calculate the hydraulic conductivity of the aquifer.