Determination of Optimum Frequency for Electromagnetic-Assisted Nanofluid Core Flooding

Abstract

The coupling of electromagnetic (EM) wave to nanoflooding experiments, termed EM-assisted nanoflooding has gained enormous attention in recent years. This brings about the consideration of transmitter efficiency and the propagation pattern of the ensuing EM wave, both of which depend on reservoir electromagnetic properties. However, this has not been considered in previous works, despite its potential to improve the efficiency of the process through energy maximization. Hence, this study considers the effects of reservoir EM properties on the operation of a transmitter. The EM properties of saturated reservoir rock samples were measured. Afterward, a half-wave dipole antenna was modeled in a cylindrical reservoir based on the measured EM properties. The EM propagation pattern of the antenna was simulated in a frequency range of 100 MHz—2.0 GHz using the finite element method. The antenna was found to display dual resonance (at 800 MHz and 1.3 GHz) for sandstone saturated with oil, brine and nanofluid. Application of the EM wave at resonance frequency can help increase the efficiency of EM-assisted nanoflooding.

1. Introduction

The electromagnetic (EM) assisted enhanced oil recovery (EOR) method has gained significant attention for the recovery of residual oil [1]. The transfer of EM energy to reservoir materials depends on the molecular composition, such as the dipolar and magnetic molecules having free or bound charges like electrons or ions [2,3,4]. Therefore, EM waves behave differently at different interfaces within the reservoir [5,6]. The propagating EM wave exerts forces on the molecules, which then align in a direction parallel to the external EM field [7,8,9]. Application of electromagnetic (EM) waves of certain frequency ranges has been used in nanofluid core flooding experiments for stimulating the recovery of residual oil after water flooding [10,11,12,13,14]. The potential efficiency of this method has been demonstrated by several experimental and numerical studies [8,15,16,17,18,19,20,21,22]. Different recovery mechanisms other than the common EM heating method have been reported recently. For instance, the application of a magnetic field gradient for the polarization of ferromagnetic nanofluid during nanoflooding experiments has been demonstrated [3]. A considerable recovery factor attributed to interfacial tension (IFT) reduction [23] and hyperthermia phenomena has also been reported with the application of EM waves (frequency range 500–1000 MHz) [11,24,25]. There have also been similar reports on the use of EM waves for wettability alteration, implying an improvement in reservoir oil production rate [11,16,25,26,27]. Currently, few research articles have been generated on transmitter design considerations for EM-assisted oil recovery processes. For instance, numerical studies on EM-assisted oil recovery using a shaped dipole antenna was conducted by [28], likewise, a cylindrical antenna model using the wavelets analysis method has also been reported [29]. Similarly, dimensional constraints have been considered in simulating three types of antennae at different operating frequencies, 915 MHz, 2.45 GHz and 5.8 GHz [4].

Despite the amount of reported studies, the effect of reservoir EM properties at varying formation fluid contents on the efficiency of the EM transmitter, and its propagation pattern have not been considered. Most of the reported studies irradiate the reservoir with EM waves of an arbitrary frequency (sometimes based on dimensional constraints) without considering the medium’s EM response, and its effect on the antenna operating frequency. Thus, this area requires further investigation. This is crucial because the operating frequency, penetration depth and radiation pattern of a transmitter depend on reservoir EM properties. These properties include the electrical conductivity σ, dielectric permittivity ε and magnetic permeability µ, all of which vary with fluid content, and are frequency dependent in varying degrees [30,31]. Consequently, it is vital to factor reservoir EM properties into the determination of antenna dimensions and operating frequency to achieve the desired uniform far-field pattern, homogenous EM energy dissipation and to avoid hot spots on the antenna surface [25]. Furthermore, the three-dimensional far-field pattern of a plane wave can be obtained from Equation (1), expressed in terms of the complex permittivity, permeability and conductivity of the medium [5].

$$\nabla \times {\mu }_r^{-1}\left(\nabla \times \mathit{E}\right)-k_0^2\left({\epsilon }_r-\raisebox{1ex}{$j\sigma $}\!\left/ \!\raisebox{-1ex}{$\omega {\epsilon }_0$}\right.\right)\mathit{E}=0$$

(1)

where μ_r is the relative permeability, E is the electric field vector, k₀ is the wavenumber in free space, ε_r is the relative permittivity, ω is the angular frequency, σ is conductivity and ε₀ is the permittivity of free space. Thus, the phasor is represented as $\overrightarrow{E}\left(r\right)=\overrightarrow{E_0}{e}^{-\gamma r}=\overrightarrow{E_0}{e}^{-\alpha r}{e}^{-j\beta r}$, where r is the propagation distance, γ (m⁻¹) is the propagation constant, which is a complex quantity of the form $\gamma =\alpha +j\beta$, where the real part α (Np/m) is the attenuation factor and the imaginary part β (rad/m) is the phase constant. Generally, oil reservoirs are a low-loss medium, that is $\mathsf{\omega }\mathsf{\epsilon }\gg \mathsf{\sigma }$. Hence, the irradiated EM waves are absorbed and attenuated as they propagate and spread within the medium [6,32]. Therefore, the attenuation factor α and phase constant β becomes:

$$\mathsf{\alpha }=\frac{\mathsf{\sigma }}{2}\sqrt{\frac{\mathsf{\mu }}{\mathsf{\epsilon }}}$$

(2)

$$\mathsf{\beta }=\mathsf{\omega }\sqrt{\mathsf{\mu }\mathsf{\epsilon }}$$

(3)

The skin depth/penetration depth δ in low-loss media is $\mathsf{\delta }=\frac{2}{\mathsf{\sigma }}\sqrt{\frac{\mathsf{\epsilon }}{\mathsf{\mu }}}$, which is the inverse of the attenuation constant indicating the distance travelled by the wave in the medium before its amplitude reduces to 1/e of its initial value on the surface of the transmitter [5].

The half-wave dipole antenna was used in this study due to its extensive application in the EM enhanced oil recovery method, because of its radiation pattern [17,28,29,33,34]. This type of transmitter focuses the EM energy in the center of the dipole and exhibits an omnidirectional radiation pattern [6,32]. The relationship between the length of a half-wave dipole and its operating wavelength has been established by [6]. The conventional method is to design an antenna with a calculated length based on a predetermined frequency of propagation. However, considering the constraint and practical feasibility of transmitter placement in a reservoir well, it is reasonable to fix the antenna dimension based on reservoir geometry. Thereafter calculating its operating frequency over a range of possible values of reservoir EM properties (ε, μ and σ) for optimal EM radiation. Hence, this research investigates the impact of reservoir effective EM properties at different fluid saturations on the operating efficiency of a half-wave dipole antenna. The ensuing EM propagation pattern of the antenna in a cylindrical oil reservoir model and its operating frequencies were analyzed.

2. Materials and Methods

2.1. Sample Preparation

Berea sandstone samples with a porosity of 0.21 and permeability 230 mD (7.5 cm long and 3.8 cm in diameter) were prepared for saturation and EM properties were measurement. Crude oil of density 0.802 g/cm³ and viscosity 7.5 cp obtained from Angsi field was used in this study, while magnetite nanoparticles were purchased from Sigma-Aldrich for nanofluid preparation. An 11,000 ppm brine solution was prepared through the dissolution of 0.11 g of NaCl in 100 mL of distilled water. Fe₃O₄ nanofluid (0.05 wt%) was subsequently prepared by dispersing 0.05 g of Fe₃O₄ in 100 mL of the earlier prepared brine solution and sonicated for 30 min to achieve homogenous dispersion. The sandstone samples were saturated with the respective formation fluid (brine, crude oil and nanofluid) in a pressurized (1.85 MPa) stainless-steel autoclave placed in an oven at 120 °C for 48 h for effective saturation (Figure 1). The shape and size distribution of the dry and saturated sandstone grain were examined with the aid of a field emission scanning electron microscope (FESEM) operated at 5 kV. The analysis was conducted using a FESEM (SUPRA 55VP Carl Zeiss AG, Germany) equipped with an energy dispersive spectrum (EDS) analyzer, which gives the elemental distribution to confirm the inclusion of the saturating fluid (brine, crude oil and nanofluid) in the rock sample.

2.2. Reservoir Rock Sample Electromagnetic Properties

The magnetic property of the sandstone samples was characterized using a vibrating sample magnetometer (VSM GMW 7400, Lakeshore, Westerville, OH, USA). For the magnetic response measurement, the VSM experiment was conducted applying a maximum magnetic field of 1500 G on the magnetite nanoparticle and sandstone samples. The hysteresis loop, magnetization, coercivity and retentivity of the samples were obtained. The dielectric permittivity of the samples was measured within a frequency range of 1 MHz to 4 GHz using a vector network analyzer (ENA E5071C). The frequency-dependent conductivity σ_ac (S/m) was computed from the measured complex relative permittivity value using Equation (4).

$${\mathsf{\sigma }}_{\mathrm{ac}}=2\mathsf{\pi }f{\mathsf{\epsilon }}^{″}{\mathsf{\epsilon }}_0$$

(4)

where f is the frequency, ε″ is the imaginary part of permittivity and ε₀ is the permittivity of free space.

2.3. Reservoir Model Geometry and Electromagnetic Propagation Simulation

EM propagation of a 17-mm long half-wave dipole antenna in a reservoir environment was simulated based on the earlier measured EM properties (ε, σ and μ) using COMSOL Multiphysics software. Figure 2 shows the schematic representation of the conceptual geometrical model deployed in the simulation study, where the transmitter was positioned at the injection well.

A user-controlled mesh option was utilized for the numerical discretization to create a mesh sequence with highly refined elements on the antenna structure and at the edges of the geometry (as shown in Figure 3). Since this is an electromagnetic problem, the maximum mesh element size S_max follows the Nyquist criterion $S_{max}<\frac{c}{2f\sqrt{{\epsilon }^{\prime }{\mu }^{\prime }}}$ [35]. A combination of tetrahedral and rectangular mesh elements was used, and the mesh was divided into three sequences, the first of which, representing the sandstone region, has a maximum element size and growth rate of 1.342 cm and 1.5, respectively. The second mesh sequence used for the antenna structure has a S_max of 0.01 cm, a maximum element growth rate of 1.5 and a curvature factor of 0.6. The maximum element size of the third sequence (the lumped port) is 1.25 × 10⁻³ cm.

The perfectly matched layer (PML) boundary condition was used to eliminate the boundary reflection phenomenon for computational convenience. The PML is a domain with an anisotropic and complex-valued permittivity and permeability used for encapsulating a geometric domain of interest for the frequency-domain solution of Maxwell’s equations. Our choice of a polynomial stretched-coordinate perfectly matched layer (SC-PML) boundary condition that absorbs omnidirectionally was inspired by the report of [36]. The details of the geometric dimensions used for building the model depicted in Figure 3 are given in

Table 1. Geometric model parameters.

Parameter	Value
Reservoir model length (cm)	30.5
Reservoir model diameter (cm)	4.0
Transmitter distance (cm)	1.0
Antenna arm length (mm)	17.0
Antenna radius (mm)	1.0
Gap (mm)	1.0

. Wave excitation was produced by applying voltage difference at the lumped port (the gap between the two antenna arm lengths) with a coaxial cable transmission line with a characteristic impedance Z_L of 50 Ω. The electric field distribution at different distances from the antenna ensuing from the EM radiation was obtained by solving the wave equation in lossy media [37]. Accordingly, the three-dimensional far-field distribution was obtained.

3. Results and Discussion

3.1. Fe₃O₄ Nanofluid Characterization

The FESEM image of the Fe₃O₄ nanoparticle used to prepare the magnetite nanofluid for saturating the core rock sample is shown in Figure 4a. The FESEM image shows that the nanoparticles have a spherical shape and an average particle diameter of 36 nm. The spherical shape of the nanoparticles combined with its small particle size is beneficial for enhancing oil recovery [38,39]. The nanoparticles will thus possess high mobility through pore throats and good adsorption of oil molecules and will easily detach oil molecules from the rock surface leading to an improved recovery factor. In contrast, the large particle size in the order of microns could solidify upon application of an external magnetic field and cause pore throat blockage [40]. Figure 4b displays the hysteresis curve of the magnetite nanoparticle, which has a saturation magnetization (Ms) of 42.3 emu/g and retentivity (Mr) of 3.0134 emu/g. The prepared Fe₃O₄ nanofluid has a DC conductivity of 2.19 S/m and dielectric permittivity of 74.2 at 600 MHz.

3.2. Reservoir Rock Sample Characterization

A combination of a FESEM micrograph and an EDS elemental analysis of the Berea sandstone sample is presented in Figure 5. The dry sandstone grain and pore distribution are shown in Figure 5a, which indicates that the sandstone sample is dominated with macropores with a pore diameter of the order of 100 µm. This implies that the magnetite nanoparticles will possess ample mobility during core flooding without causing pore throat blockage, as the particle size is less than 50 nm. Moreover, it has been reported that the frequency dependence of ε′ of saturated sandstone greatly depends on pore space surface area to volume ratio [41].

The elemental distribution of the pore space is indicated in Figure 5b by the EDS spectrum, which is comprised largely of silicon (31.43 wt%) of sandstone silica and oxygen (50.39 wt%) of connate water and carbon (18.18 wt%). Hence, a combination of the pore structure and elemental composition are important background knowledge, which can help determine the influence of the injected fluid content on EM wave propagation within the medium, as will be shown in subsequent sections. The presence of the injected crude oil and saturating nanofluid is confirmed in Figure 5d, which shows the EDS element distribution analysis within a pore space (Figure 5c) of the sandstone sample. A combination of the high carbon (C) content in the spectrum confirms the presence of the saturating crude oil, which is 61.16 wt% of the pore content. The presence of magnetite nanofluid is likewise confirmed by the Fe peak in the EDS spectrum and is relatively sparse (0.92 wt%) due to the small amount (0.05 wt%) of Fe₃O₄ nanoparticles dispersed in the NaCl used to prepare the nanofluid. This small concentration of nanoparticles was used to avoid nanoparticle retention within the porous structure, as this has been earlier reported [42].

3.3. Reservoir Rock Electromagnetic Properties

Figure 6a shows the variation of relative dielectric permittivity ε′ of the sandstone sample under the different possible scenarios encountered in nanofluid core flooding experiments. It is apparent from the figure that dielectric dispersion generally dominates the lower frequency portion (from 1 MHz to 1.5 GHz) of our measurement range, after which the frequency dependence of ε′ becomes weaker and attains quasi-stable values. Since relative permittivity is a measure of the degree of polarization occurring in a material [43], the various exhibited peaks at different frequencies could be attributed to specific polarization mechanisms [41], of which dipolar mechanisms are dominant in this case. It is noteworthy to point out that the ε′ of the sample not only increases with the inclusion of brine and nanofluid, but dispersion peaks also shift to a lower frequency.

The frequency-dependent conductivity σ_ac (obtained from the imaginary permittivity according to Equation (4)) and ε′ of the sandstone sample saturated with 40% oil, 60% brine and nanofluid is shown in Figure 6b. The frequency-dependent conductivity of the medium displays an increasing trend with frequency as opposed to the decreasing value of ε′. Moreover, the effective conductivity σ_eff of the reservoir medium is composed of the ohmic σ_ohmic, and the dielectric loss part σ_ac (the frequency-dependent) as ${\sigma }_{eff}={\sigma }_{ohmic}+{\sigma }_{ac}$. We therefore conclude from these results that the irradiated EM wave should be varied within a frequency range less than 2 GHz. This will enable effective propagation of the EM wave, as attenuation of the EM wave will increase at a higher frequency (as indicated by Equation (2)) leading to a reduction of the penetration depth δ due to increasing conductivity at a higher frequency, where ε′ is almost constant. Figure 6a,b clearly indicates that approximately 2 GHz is the upper bound of frequency for an effective response of the reservoir materials to the irradiated EM wave within the tested samples. This is in agreement with the report of Fanchi [44], who placed the lower frequency limit at 300 MHz and the upper bound at 1–2 GHz for effective EM propagation in the reservoir medium. Therefore, our subsequent investigation in this work was restricted to the frequency limit of 100 MHz to 2 GHz.

It can be concluded from the results that, while the injection of Fe₃O₄ nanofluid increased the overall EM response of the reservoir, another important point is the reduction of the required EM frequency for the EM-assisted nanoflooding experiment, hence increasing the EM penetration depth, polarization effect and improved activation of the injected nanofluid for stimulation of the residual oil. The sandstone sample shows a weak magnetic property (Ms of 10.361 memu/g), which conforms with earlier reports in the literature that most reservoir rocks do not possess intrinsic magnetic properties and are therefore described electrically by the conductive and capacitive properties [45]. However, a variation of the saturation magnetization could be noticed with different fluid contents. Thus, the EM response of the medium entirely depends on the volume fraction of the injected nanofluid.

Table 2. Electromagnetic properties of sandstone samples at different fluid saturations.

Formation	Dielectric Permittivity	Conductivity (×10−2 S/m)	Magnetization (×10−3 emu/g)	Coercivity (G)	Retentivity (×10−9 emu/g)
Dry Sandstone	4.0	3.276	10.361	47.82	91.89
Sandstone + Oil	6.1	2.396	4.367	37.59	29.43
Sandstone + Oil + Brine	8.1	3.487	6.221	23.91	32.05
Sandstone + Oil + Brine + Nanofluid (Fe3O4)	19.1	7.732	10.601	31.66	24.30

summarizes the measured and calculated EM parameters of the sandstone samples that were considered for the simulation study.

3.4. EM Wave Propagation

3.4.1. Antenna Impedance and Return Loss

The simulated input impedance at the lumped port of the antenna is presented in Figure 7 for different operating frequencies ranging from 100 MHz to 2.0 GHz. For an antenna to propagate and deliver maximum power, the input impedance is expected to match with the characteristic impedance of the transmission line according to $Z_L=Z_A$, where $Z_L=R_L+j{X}_L$ is the transmission line characteristic impedance (composed entirely of reactance (real) part R_L = 50 Ω and capacitance (imaginary) part X_L = 0) and $Z_A=R_A+j{X}_A$ is the antenna input impedance. Therefore, the simulated antenna will resonate (propagate maximum power) at a frequency where the imaginary impedance is closest to zero, with a corresponding real impedance close to 50 Ω. It was observed that the real part of the input impedance of the antenna approaches 50 Ω at 0.2 GHz (56.54 Ω), 1.4 GHz (51.22 Ω), 1.5 GHz (56.01 Ω), 1.7 GHz (51.39 Ω) and 1.8 GHz (42.62 Ω). Nonetheless, the antenna cannot resonate at these frequencies due to the large respective imaginary parts, 111.79 Ω, 10.82 Ω, 16.33 Ω and 35.85 Ω. The real and imaginary parts of the antenna input impedance in sandstone saturated with oil, brine and nanofluid are presented in Figure 7c, as this is of interest for the core flooding process. The imaginary part is noticed to approach zero at 0.8 GHz (3.82 Ω) and 1.3 GHz (8.96 Ω); this indicates that power stored in the near field (non-radiated power) is minimal at these frequencies. Likewise, the real part of the impedance at these frequencies are 40.51 Ω and 46.35 Ω, respectively; hence the antenna propagates the maximum input power at 800 MHz and 1.3 GHz.

Figure 8 shows the simulated return loss of the antenna in four different media, dry sandstone, sandstone saturated with oil, sandstone saturated with oil and brine and sandstone saturated with oil, brine and nanofluid. The essence of analyzing the reflection loss peaks is to determine frequencies at which the least amount of input signal is reflected by the antenna in order to maximize energy delivery to reservoir materials for stimulation and recovery of trapped oil. The antenna has return loss < −10 dB in the range; between 1.09 GHz and extends over 2 GHz (0.91 GHz bandwidth), between 990 MHz and 2 GHz (1.01 GHz bandwidth), between 900 MHz and 2 GHz (1.1 GHz bandwidth), and between 580 MHz and 1.68 GHz (1.1 GHz bandwidth) within the aforementioned four scenarios, respectively. The curve indicates that the antenna has a single reflection loss peak with a corresponding value of −20.708 dB at 1.3 GHz and −20.575 dB at 1.2 GHz for the dry sample and when saturated with oil, respectively. However, the antenna exhibits double reflection loss peaks in the sandstone containing oil and brine (−21.12 dB at 1.0 GHz and −21.37 dB at 1.4 GHz) and that containing oil, brine and magnetite nanofluid (−18.91 dB at 800 MHz and −20.00 dB at 1.3 GHz). The double reflection loss peaks of the antenna within these two media could be attributed to the electrical length of the antenna. The antenna approaches the limit of an electrically large antenna at the high-frequency peak (shorter wavelength of the propagated EM wave), and an electrically small antenna at the lower frequency peak corresponding to the longer propagating wavelength [46,47].

It can be inferred from the return loss graph that an increasing value of the permittivity of the medium due to an increase in the injected polar molecules causes the reflection loss peaks (equivalent to antenna resonant frequencies) to shift to lower frequencies. This trend is most prominent after including magnetite in the saturating fluid, with one of its reflection losses peaks (−18.91 dB) occurring at 800 MHz. This is a particularly important finding in the application of EM waves for the activation of injected nanoparticles, as it indicates that approximately 95% of the EM power supplied to the antenna is propagated within the medium.

As earlier mentioned, the resonant frequency of the Berea sandstone sample saturated with oil, brine and magnetite nanofluid was observed to be 600 MHz, implying that there was a maximum response to the irradiated EM wave [48]. This connotes that the maximum response to externally applied EM waves will be obtained by tuning the EM frequency close to this value (600 MHz). Hence, a reasonable compromise could be made between applying EM waves at the resonant frequency of the transmitting antenna (800 MHz) or that of the reservoir medium (600 MHz). Albeit, it could be preferable to apply EM waves of frequency 600 MHz due to two compelling reasons. Firstly, the ability of the antenna to absorb and radiate roughly 94% of the input power (as indicated by the reflection loss of –13.75 dB) [48]. Secondly, maximum energy could be transferred to reservoir materials at this frequency due to resonance. Subsequently, sufficient EM energy is available for polarizing the magnetite nanoparticles and also overcoming the isotropic Van der Waal’s attractive forces between the nanoparticles. This is brought about through reduction of Van der Waal interaction free energy relating to the Hamaker constant and anisotropic dipolar forces between the magnetite nanoparticles [49,50]. Thus, improved activation of the nanoparticles is achieved.

Table 3. Antenna characteristics at different saturations.

Parameters	Dry Sandstone	Oil Saturated	Oil and Brine Saturated	Oil, Brine and Nanofluid Saturated
Resonant Frequency (GHz)	1.30	1.20	1.00 and 1.40	0.80 and 1.30
Return Loss (dB)	−20.70	−21.47	−21.12 and −21.36	−18.911 and −20.00
Real Impedance (Ω)	52.04	50.62	44.39 and 53.31	40.51 and 46.35
Imaginary Impedance (Ω)	9.22	8.50	6.13 and 8.21	3.82 and 8.96
Bandwidth (GHz)	0.91	1.01	1.10	1.10

presents a summary of the antenna characteristics at different fluid saturations. The return loss, input impedance, bandwidth and by implication the antenna radiation efficiency is significantly affected by the fluid content of the medium.

3.4.2. Transmitter Propagation Pattern

Figure 9 shows the simulated radiating pattern of the antenna. It can be seen from Figure 9a,b that the antenna becomes directional and beamforming with increasing frequencies (beyond 700 MHz) as indicated by the gradual appearance of side lobes. As a result, more propagation distance was covered in one direction. However, the angular coverage decreases, and the radiation pattern is non-uniform, implying an unequal distribution of the radiated energy. Therefore, the antenna should be operated at a frequency less than 800 MHz to achieve a uniform radiating field pattern, which is one of the major goals of downhole antenna design [28]. The radiation pattern was found to be uniform at 600 MHz, as shown by the omnidirectional pattern in Figure 9b, indicating that a roughly equal amount of power was radiated from all sides of the antenna. Interestingly, this coincides with the resonant frequency of the medium as earlier determined. Figure 9c shows a three-dimensional image of the far-field propagation pattern obtained at 600 MHz, indicating the E-field distribution around the antenna within the sandstone medium saturated with oil, brine and nanofluid.

It is important to establish that the far-field pattern, antenna gain, radiated power (Figure 10) and other parameters are evaluated and quantified within this region [32].

Figure 11a shows the antenna propagation within the modelled reservoir geometry. The figure gives a visual representation of E-field distribution within the medium. The EM wave attenuation phenomenon is likewise visible from the figure, where the field strength is maximum at the antenna surface, and gradually diminishing at a distance. The penetration depth at 600 MHz was computed as 5.7 cm. An alternate setup for increasing the EM propagation distance by using double transmitter placement is shown in Figure 11b.

4. Conclusions

The EM propagation of a half-wave dipole antenna in a cylindrical reservoir model has been evaluated. The far-field patterns of the geometry are illustrated using 2D and 3D diagrams to depict the propagation at different operating frequencies. The antenna was observed to exhibit double reflection loss peaks in the sandstone containing oil and brine (−21.12 dB at 1 GHz and −21.37 dB at 1.4 GHz), and that containing oil, brine and magnetite nanofluid (−18.91 dB at 800 MHz and −20.00 dB at 1.3 GHz). Evaluation of the radiating far-field pattern reveals that the E-field distribution, isotopic radiated power and phi and theta components become directional with the appearance of side lobes as the frequency increases beyond 700 MHz. Hence, operating the antenna at 600 MHz could improve the efficiency of EM propagation and energy transfer within the medium, as this coincides with the resonant frequency of the reservoir medium.