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Obtaining the solutions of high-dimensional partial differential equations (PDEs) seems to be difficult by utilizing the classical numerical methods. Recently, deep neural networks (DNNs) techniques have received special attentions in solving high–dimensional problems in PDEs. In this study, our quest is to investigate some newly introduced data-driven deep learning-based approaches and compare their performance in terms of their efficiency and faster training towards high-dimensional PDEs. However, the comparison is carried out based on different activation functions, number of layers and gradient based optimizers. We consider some benchmark problems in our numerical experiments which includes Burgers equation, Diffusion-reaction equation and Allen-Cahn Equations. [ABSTRACT FROM AUTHOR]

This Sea bed logging (SBL) is a direct and remote application of control source electromagnetic method (CSEM) to detect the hydrocarbon wells. In this method, electromagnetic waves are used to detect the resistivity contrast between the various sediments. In this work, a new design of antenna is used as the source of Electromagnetic waves. Maxwell Equations will be solved in two modes (poloidal and toroidal modes) to determine the magnetic fields. This would help in detecting the resistive layer under seabed. Numerical solutions of the equations are given and the performance of the antenna from a frequency of 0.01 to 10 Hz, in 500 m sea water depth is presented. [ABSTRACT FROM AUTHOR]

Material ferrites with composition Ni0.5 Zn0.4Cu0.1Fe2O4 has been successfully synthesized through sol gel method in difference calcination temperature 600 °C, 700 °C, 800 °C and 900 °C respectively. The temperatures calcination of the material was obtained from thermo-gravimetric analysis (TGA) results. Phase and crystallite size of material were investigated using X-Ray diffraction (XRD). Microstructure, shape and distribution particles of Ni0.5 Zn0.4Cu0.1Fe2O4 were examined using high resolution transmission electron microscopy (HRTEM). Magnetic properties were investigated using vibrating sample magnetometer (VSM). Initial permeability and magnetic loss factor were examined by impedance analyzer. Computer simulation technique (CST) was used to simulate electromagnetic transmitter (antenna) with magnetic feeder. The thermo-gravimetric analysis result shows that the total weight loss of Ni0.5 Zn0.4Cu0.1Fe2O4 was completed at temperature 572 °C. XRD result shows single phase and no secondary phase was detected and it has a variation of crystallite size in the range of 0.2 to 1.3 nm. The HRTEM result exhibits microstructure particle in interval value of 46-89 nm with agglomeration shape. The highest magnetic saturation was founded at highest calcination temperature 900 °C. The Initial permeability and relative loss factor of the material were 187 and 0.03 respectively. Electromagnetic transmitter with magnetic feeder Ni0.5 Zn0.4Cu0.1Fe2O4 exhibits magnitude of magnetic field 1.03?10-6 tesla, which is higher as compared to the transmitter without magnetic feeder with magnitude magnetic field 8.4?10-14 Tesla. [ABSTRACT FROM AUTHOR]

This Sea bed logging (SBL) is a direct and remote application of control source electromagnetic method (CSEM) to detect the hydrocarbon wells. In this method, electromagnetic waves are used to detect the resistivity contrast between the various sediments. In this work, a new design of antenna is used as the source of Electromagnetic waves. Maxwell Equations will be solved in two modes (poloidal and toroidal modes) to determine the magnetic fields. This would help in detecting the resistive layer under seabed. Numerical solutions of the equations are given and the performance of the antenna from a frequency of 0.01 to 10 Hz, in 500 m sea water depth is presented. [ABSTRACT FROM AUTHOR]

Material ferrites with composition Ni0.5Zn0.4Cu0.1Fe2O4 has been successfully synthesized through sol gel method in difference calcination temperature 600 °C, 700 °C, 800 °C and 900 °C respectively. The temperatures calcination of the material was obtained from thermo-gravimetric analysis (TGA) results. Phase and crystallite size of material were investigated using X-Ray diffraction (XRD). Microstructure, shape and distribution particles of Ni0.5Zn0.4Cu0.1Fe2O4 were examined using high resolution transmission electron microscopy (HRTEM). Magnetic properties were investigated using vibrating sample magnetometer (VSM). Initial permeability and magnetic loss factor were examined by impedance analyzer. Computer simulation technique (CST) was used to simulate electromagnetic transmitter (antenna) with magnetic feeder. The thermo-gravimetric analysis result shows that the total weight loss of Ni0.5Zn0.4Cu0.1Fe2O4 was completed at temperature 572 °C. XRD result shows single phase and no secondary phase was detected and it has a variation of crystallite size in the range of 0.2 to 1.3 nm. The HRTEM result exhibits microstructure particle in interval value of 46-89 nm with agglomeration shape. The highest magnetic saturation was founded at highest calcination temperature 900 °C. The Initial permeability and relative loss factor of the material were 187 and 0.03 respectively. Electromagnetic transmitter with magnetic feeder Ni0.5Zn0.4Cu0.1Fe2O4 exhibits magnitude of magnetic field 1.03×10-6 tesla, which is higher as compared to the transmitter without magnetic feeder with magnitude magnetic field 8.4×10-14 Tesla. [ABSTRACT FROM AUTHOR]

Magnetic nanomaterial Ni0.5Zn0.3Cu0.2Fe2O4 was successfully prepared by using sol-gel method. Heat treatment on material is always giving defect on properties of material. This paper investigates the effect of heat treatment on nanostructure of magnetic nanomaterial Ni0.5Zn0.3Cu0.2Fe2O4. According to thermo gravimetric analysis (TGA) that after 600°C there is no more weight loss detected and it was decided as minimum calcination temperature. Intensity, crystallite size, structure, lattice parameter and d-spacing of the material were investigated by using X-ray diffraction (XRD). High resolution transmission electron microscope (HRTEM) was used to examine nanostructure, nanosize, shape and distribution particle of magnetic material Ni0.5Zn0.3Cu0.2Fe2O4 and variable pressure field emission scanning electron microscope (VP-FESEM) was used to investigate the surface morphology and topography of the material. The XRD result shows single-phase cubic spinel structure with average crystallite size in the range of 25.6-95.9 nm, the value of the intensity of the material was increased with increasing temperature, and followed by lattice parameter was increased with increasing calcination temperature, value of d-spacing was relatively decreased with accompanied increasing temperature. From HRTEM result the distribution of particles was tend to be agglomerates with particle size of 7.8-17.68 nm. VP-FESEM result shows that grain size of the material increases with increasing calcination temperature and the surface morphology shows that the material is in hexagonal shape and it was also proved by mapping result which showing the presence each of constituents inside the compound. [ABSTRACT FROM AUTHOR]

This paper examines the effect of calcination process on the structural and magnetic properties material nanostructure composite of Ni0.5Zn0.25Cu0.25 Fe2O4 ferrites. The samples were successfully prepared by sol-gel method at different calcination temperature, which are 600°C, 700°C, 800°C and 900°C. Morphological investigation, average crystallite size and microstructure of the material were examined by using X-ray diffraction (XRD) and confirmed by high resolution transmission electron microscope (HRTEM) and field emission scanning electron microscope (FESEM). The effects of calcination temperature on the magnetic properties were calculated by using vibrating sample magnetometer (VSM). The XRD result shows single-phase cubic spinel structure with interval average size 5.9-38 nm, and grain size microstructure of the material was increasing with temperature increases. The highest magnetization saturation was reached at a temperature 800°C with value 53.89 emu/g, and the value coercive force (Hc) was inversely with the grain size. [ABSTRACT FROM AUTHOR]

Sea Bed Logging (SBL) is an offshore geophysical technique that can give information about resistivity variation beneath the seafloor. This information is crucial in offshore oil and gas exploration. However, data collected through this technique in shallow water at low frequencies is associated with a problem termed "air wave effect". The air wave effect is a phenomena resulting from Electro-Magnetic (EM) waves produced by the antenna (source) which interact with air-sea interface to generate air waves that diffuse from sea surface to the receivers. These air wave signals dominate the receivers at far offsets to the source and consequently, the refracted signal due the target is hardly distinguishable. The refracted signals from the target being masked by the airwaves can make it difficult to identify the hydrocarbon reservoir. The aim of this study is to investigate the sea water depth for the presence of air waves. Synthetic data are generated by simulating SBL environment without Hydro-Carbon (HC) target and varying the sea water depth from 1000m to 100m with the interval of 100m. The simulated distances for the source-receiver separation (offset) are divided into five ranges. The magnitude versus offset plot together with the Friedman and Wilcoxon statistical test are used to analyze the data. Results show that the air waves are present at 400m of sea water depth and below. [ABSTRACT FROM AUTHOR]

The objective of this paper is to examine the short-run and long-run dynamic causal relationship between energy consumption and income per capita both in bivariate and multivariate framework over the period 1971-2014 in the case of Malaysia [1]. The study applies ARDL Bound test procedure for the long run co-integration and Granger causality test for investigation of causal link between the variables. The ARDL bound test confirms the existence of long run co-integration relationship between the variables. The causality test show a feed-back hypothesis between income per capita and energy consumption over the period in the case of Malaysia. [ABSTRACT FROM AUTHOR]

The energy minimization and spin modifications of sorbates with sorbents in magnetic induction method (MIM) play a vital role in yield of fertilizer. Hence, in this article the focus of study is the interaction of sorbates/reactants (H2, N2 and CO2) in term of average total adsorption energies, average isosteric heats of adsorption energies, magnetic moments, band gaps energies and spin modifications over identical cone tips nanocatalyst (sorbents) of Fe2O3, Fe3O4 (magnetic), CuO and Al2O3 (nonmagnetic) for green nano-fertilizer synthesis. Study of adsorption energy, band structures and density of states of reactants with sorbents are purely classical and quantum mechanical based concepts that are vividly illustrated and supported by ADSORPTION LOCATOR and Cambridge Seriel Total Energy Package (CASTEP) modules following classical and first principle DFT simulation study respectively. Maximum values of total average energies, total average adsorption energies and average adsorption energies of H2, N2 and CO2 molecules are reported as -14.688 kcal/mol, -13.444 kcal/mol, -3.130 kcal/mol, -4.134 kcal/mol and -6.348 kcal/mol over Al2O3 cone tips respectively and minimum over magnetic cone tips. Whereas, the maximum and average minimum values of average isosteric heats of adsorption energies of H2, N2 and CO2 molecules are figured out to be 3.081 kcal/mol, 4.842 kcal/mol and 6.848 kcal/mol, 0.988 kcal/mol, 1.554 kcal/mol and 2.236 kcal/mol over aluminum oxide and Fe3O4 cone tips respectively. In addition to the adsorption of reactants over identical cone sorbents the maximum and minimum values of net spin, electrons and number of bands for magnetite and aluminum oxide cone structures are attributed to 82 and zero, 260 and 196, 206 and 118 for Fe3O4 and Al2O3 cones respectively. Maximum and least observed values of band gap energies are figured out to be 0.188 eV and 0.018 eV with Al2O3 and Fe3O4 cone structures respectively. Ultimately, with the adsorption of reactants an identical increment of 14 electrons each in up and down spins is resulted. [ABSTRACT FROM AUTHOR]

It is generally understood that magnetic energy is much smaller than thermal energy which dominates the chemical equilibrium. Magnetic nanoparticles (NiO) as catalyst were synthesized by chemical reduction routes following micro emulsion method having an average size of 239 nm and 207.2 nm followed by FESEM and TEM analysis respectively. EDX analysis of nanoparticles (NPs) with 90.80 weight% Ni, 9.20 weight % O2 and 72.90 atomic% Ni, 27.10 atomic% O2 falls it into the category of formation of nickel and oxide NPs. TEM for parallel Ni EELs vs intensity is 840.0 eV to 860.0 eV and 70 to 80 respectively. TEM diffraction and fringe spacing analysis of NPs reveals the details about diffraction planes as (200), (311), (400) and lattice parameter 4.136 nm respectively. Both RAMAN spectroscopy and FTIR spectroscopy analysis of NPs elaborate the consistency between peak intensity and RAMAN shift (cm-1) as 318.74 cm-1, 522.78 cm-1, 620.28 cm-1 and 450 cm-1, 515.84 cm-1and 720.08 cm-1 respectively. The saturation magnetization (Ms) of NiO NPs was measured to be 32.524 emu/g by VSM for a specific mass of 14.1x10-3 g. Simulation study based on DFT in term of catalytic effect related to sorbents and sorbates atomistic, thermodynamic and quantum mechanical interactions including adsorption is illustrated in this article using first principal DFT simulation study. The average total energy, average total adsorption energy, average adsorption energy of H2, and N2 over NiO (111) surface are reported as 4.414 kcal/mol, 4.4145 kcal/mol, -1.671 kcal/mol, and 0.869 kcal/mol respectively. Whereas, isosteric heats of adsorption energies for H2, N2 over NiO (111) cleaved surface were calculated to 1.617kcal/mol, and -0.881 kcal/mol respectively. Ammonia synthesis carried out by MIM and peaks were detected by FTIR and yield was quantified by Kjeldahl method in few thousands µmole gcat-1 h-1. [ABSTRACT FROM AUTHOR]

The objective of this paper is to examine the short-run and long-run dynamic causal relationship between energy consumption and income per capita both in bivariate and multivariate framework over the period 1971-2014 in the case of Malaysia [1]. The study applies ARDL Bound test procedure for the long run co-integration and Granger causality test for investigation of causal link between the variables. The ARDL bound test confirms the existence of long run co-integration relationship between the variables. The causality test show a feed-back hypothesis between income per capita and energy consumption over the period in the case of Malaysia. [ABSTRACT FROM AUTHOR]

The energy minimization and spin modifications of sorbates with sorbents in magnetic induction method (MIM) play a vital role in yield of fertilizer. Hence, in this article the focus of study is the interaction of sorbates/reactants (H2, N2 and CO2) in term of average total adsorption energies, average isosteric heats of adsorption energies, magnetic moments, band gaps energies and spin modifications over identical cone tips nanocatalyst (sorbents) of Fe2O3, Fe3O4 (magnetic), CuO and Al2O3 (nonmagnetic) for green nano-fertilizer synthesis. Study of adsorption energy, band structures and density of states of reactants with sorbents are purely classical and quantum mechanical based concepts that are vividly illustrated and supported by ADSORPTION LOCATOR and Cambridge Seriel Total Energy Package (CASTEP) modules following classical and first principle DFT simulation study respectively. Maximum values of total average energies, total average adsorption energies and average adsorption energies of H2, N2 and CO2 molecules are reported as -14.688 kcal/mol, -13.444 kcal/mol, -3.130 kcal/mol, - 4.134 kcal/mol and -6.348 kcal/mol over Al2O3 cone tips respectively and minimum over magnetic cone tips. Whereas, the maximum and average minimum values of average isosteric heats of adsorption energies of H2, N2 and CO2 molecules are figured out to be 3.081 kcal/mol, 4.842 kcal/mol and 6.848 kcal/mol, 0.988 kcal/mol, 1.554 kcal/mol and 2.236 kcal/mol over aluminum oxide and Fe3O4 cone tips respectively. In addition to the adsorption of reactants over identical cone sorbents the maximum and minimum values of net spin, electrons and number of bands for magnetite and aluminum oxide cone structures are attributed to 82 and zero, 260 and 196, 206 and 118 for Fe3O4 and Al2O3 cones respectively. Maximum and least observed values of band gap energies are figured out to be 0.188 eV and 0.018 eV with Al2O3 and Fe3O4 cone structures respectively. Ultimately, with the adsorption of reactants an identical increment of 14 electrons each in up and down spins is resulted. [ABSTRACT FROM AUTHOR]

It is generally understood that magnetic energy is much smaller than thermal energy which dominates the chemical equilibrium. Magnetic nanoparticles (NiO) as catalyst were synthesized by chemical reduction routes following micro emulsion method having an average size of 239 nm and 207.2 nm followed by FESEM and TEM analysis respectively. EDX analysis of nanoparticles (NPs) with 90.80 weight% Ni, 9.20 weight % O2 and 72.90 atomic% Ni, 27.10 atomic% O2 falls it into the category of formation of nickel and oxide NPs. TEM for parallel Ni EELs vs intensity is 840.0 eV to 860.0 eV and 70 to 80 respectively. TEM diffraction and fringe spacing analysis of NPs reveals the details about diffraction planes as (200), (311), (400) and lattice parameter 4.136 nm respectively. Both RAMAN spectroscopy and FTIR spectroscopy analysis of NPs elaborate the consistency between peak intensity and RAMAN shift (cm-1) as 318.74 cm-1, 522.78 cm-1, 620.28 cm-1 and 450 cm-1, 515.84 cm-1and 720.08 cm-1 respectively. The saturation magnetization (Ms) of NiO NPs was measured to be 32.524 emu/g by VSM for a specific mass of 14.1x10-3 g. Simulation study based on DFT in term of catalytic effect related to sorbents and sorbates atomistic, thermodynamic and quantum mechanical interactions including adsorption is illustrated in this article using first principal DFT simulation study. The average total energy, average total adsorption energy, average adsorption energy of H2, and N2 over NiO (111) surface are reported as 4.414 kcal/mol, 4.4145 kcal/mol, -1.671 kcal/mol, and 0.869 kcal/mol respectively. Whereas, isosteric heats of adsorption energies for H2, N2 over NiO (111) cleaved surface were calculated to 1.617kcal/mol, and -0.881 kcal/mol respectively. Ammonia synthesis carried out by MIM and peaks were detected by FTIR and yield was quantified by Kjeldahl method in few thousands µmole gcat-1 h-1. [ABSTRACT FROM AUTHOR]

Marine controlled source electromagnetic method (MCSEM) is a new and versatile method for hydrocarbon detection. Deep sea hydrocarbon reservoir exploration is still challenging and expensive. Due to unreliability for the detection of DHIs using seismic data, new methods have been investigated. Sea bed logging (SBL) is a new technique for the detection of deep target hydrocarbon and has potential to reduce the risks of DHIs (direct hydrocarbon indicators) in deep sea environment. The magnitude of EM waves is very important for the detection of deep target hydrocarbon reservoir below 4000m from the sea floor. Nanotechnology has been introduced very effective and shows promising results in many research fields. Ferrite magnetic materials play an important role in many applications due to its versatile magnetic properties. The aluminum based EM antenna is developed and NiZn, YIG ferrite as magnetic feeders are used to increase the field strength from EM antenna. FESEM images show that grain size increases with the increase of sintering temperature and ranges from 30 to 60nm for Ni0.8Zn0.2Fe2O4 where as grain size increases from 45 to 110nm for Y3Fe5O12 samples. Due to better magnetic properties, samples (Ni0.8Zn0.2Fe2O4-PVDF) sintered at 950°C and (Y3Fe5O12-PVDF) sintered at 1350°C were used as magnetic feeders for the EM antenna. It was investigated that magnitude of EM waves from the novel EM antenna with (Ni0.8Zn0.2Fe2O4-PVDF) sintered at 950°C and Y3Fe5O12-PVDF) sintered at 1150°C increases up to 143% and 220% respectively in the lab scale environment. Modeling results by using CST software shows that new EM antenna with magnetic feeders has an ability to increase the D, E, B and H field components. This novel EM antenna with magnetic feeders may be used for the deep target hydrocarbon detection due to enhanced field strength. This new EM transmitter based on nanotechnology may open new horizons for oil and gas industry for deep target hydrocarbon reservoir. [ABSTRACT FROM AUTHOR]

Controlled Source Electro-Magnetic (CSEM) sounding technique which is an alternative name for Sea Bed Logging (SBL) Is a recent effective resistivity sensing technology used in finding, testing and evaluating hydrocarbon reservoirs. Both sea water and hydrocarbon (target) depths can cause a significant impact when analyzing and interpreting data from CSEM environment. This paper looks at the feasibility of applying artificial neural network to the scaled marine environment data for finding and evaluating hydrocarbon reservoirs. Artificial Neural Network (ANN) Is non-linear predictive models that resemble biological neural network in structure and learn through process of training. One of the advantage of ANN is the ability' to be used as an arbitrary' function approximation mechanism which 'learns' from observed data. Data collected from the experiments of different depths and target positions are used to obtain the neural network training model, while Mean Square Error is for model accuracy evaluation. Preliminary results show that the Artificial Neural Network has a potential in modeling the CSEM environment. [ABSTRACT FROM AUTHOR]

Conventional enhanced oil recovery (EOR) methods failed to extract the remaining oil from unconventional, high salinity and high temperature high pressure (HTHP) oil reservoirs. In surfactant flooding method, surfactants are injected to reduce the interfacial tension between oil and water hence sufficiently displaces oil from the reservoir. In steam flooding, high temperature steam is injected into a reservoir to heat oil to make it less viscous, making it easier to move to the production wells. However these methods fail to failed to perform because injection agents start to change its properties under the extreme condition. Therefore, nanoparticles are introduced to mitigate these challenges because of its ability to change certain factor in certain condition. Previous studies had shown that increments in the oil recovery were observed when core-flooding experiments using Aluminum Oxide (Al2O3) nanofluid were conducted. In this research, the effect of morphology of Al2O3nanoparticles on viscosity and interfacial tension (IFT) and the recovery efficiency in EOR was studied. Al2O3 nanoparticles were synthesized and the morphology was altered by hydrothermal treatment using different concentration of NaOH. After being treated, the morphology of Al2O3 changed from hexagonal to thin lath. The IFT between crude oil and the nanofluids of the treated Al2O3 showed lower values compared to the untreated ones. It was also observed from core-flooding experiment that the Al2O3 nanofluid which had undergone treatment with 10 M NaOH gave the highest recovery of 52.50% of residual oil in place (ROIP). The change in morphology could have resulted in better dispersion and thus lead to higher recovery. [ABSTRACT FROM AUTHOR]

Crude oil is a naturally occurring mixture, consisting predominantly of hydrocarbon with other elements such as sulphur, nitrogen, and also metal. Since crude oils are taken from different parts of the world, it is necessary to know its composition for quality control in the oil and gas industry. This paper presents the statistical analysis of six acquired crude oil samples by comparing the coefficient of correlation of hydrocarbon components in these samples to standard diesel oil (SDO). Through Gas Chromatography Mass Spectrometry (GCMS) experiments, the hydrocarbon components in the six crude oil samples' retention time, abundance value and concentration were found. These were compared with those of the components of standard diesel oil (SDO). The results showed a high positive correlation in retention time between the samples and the standard diesel oil (SDO), low negative correlation on the concentration of hydrocarbon components, and low negative correlation on the abundance value. [ABSTRACT FROM AUTHOR]

The aim of this research work is to conduct curve fitting using mathematical equations that relate location of the hydrocarbon (HC) at different depth to different frequencies. COMSOL MultiPhysics software was used to generate models of the seabed logging technique which consists of air, sea water, sediment and HC layer. Seabed Logging (SBL) is a technique to find the resistive layers under seabed by transmitting low frequency of EM waves through sea water and sediment. As HC is known to have high resistivity which is about 30-500Ωm, EM waves will be guided and reflected back and detected by the receiver that are placed on the seafloor. In SBL, low frequency is used to obtain greater wavelength which allows EM waves to penetrate at longer distance and each frequency used has different skin depth. The frequencies used in this project were 0.5Hz, 0.25Hz, 0.125Hz and 0.0625Hz and the depths of the HC were varied from 1000m to 3000m with increment of 250m. Data generated from the simulations using COMSOL software was extracted for the set up with and without HC and few trend lines were developed and R² were calculated for each equation and curve. The calculated R² were compared between data with HC to no HC at each depth and it was found that the calculated R² values were very well fitted for deeper HC depth. This indicates that as depth of HC is higher, it is difficult to distinguish data with and without HC presence; and perhaps a new technique can be explored. [ABSTRACT FROM AUTHOR]

Seabed Logging (SBL) is a method developed to detect the location of hydrocarbon reservoir below the seabed. This method, which uses Electromagnetic (EM) wave of low frequency, has shown highly promising results in the detection of hydrocarbon up to 1000 m deep below the seafloor. However, the method is not as successful in the detection of deeper target (>1000 m) due to the attenuation of EM wave. The objective of this research is to study the Magnetic Versus Offset (MVO) in the detection of deep hydrocarbon targets. CST software was used to simulate the environment and SBL setup and it was able to show the magnitude of electric field at various offsets. The MVO at various offsets was studied for targets from 500 m to 4000 m using EM of frequencies 0.125 and 0.0625 Hz. The results showed that the MVO at intermediate offset which ranges between -3000 m until -6000 m from the antenna demonstrated distinctive differences between the environments with hydrocarbon from the one without hydrocarbon in detection of deep reservoir. [ABSTRACT FROM AUTHOR]

In enhanced oil recovery, high frequency electromagnetic waves are used to heat the oil reservoir and for this purpose an antenna is inserted in a borehole close to the production well. It requires a large numbers of boreholes for the antenna to get uniform heating. In case of offshore these problem can be avoided if a horizontal antenna is towed close to the seabed which maximize the electromagnetic energy transferred from the overburden to reservoir. For this purpose new twin collinear dipole antenna with a total length equal to one wavelength is designed and full scale modeling in offshore environment was done by using computer simulation technology (CST) software. Electromagnetic response of oil reservoir by using new antenna is studied for a model consisting of a 100 m thick oil reservoir having resistivity of 100 ohm-m, buried at a depth of 1000m in overburden with 1000m seawater. It was observed that new antenna gave 365% higher electric field than half wavelength dipole antenna at the far source receiver offset. At the target depth of 2500m new antenna gave 336% more electric field magnitude as compared to half wavelength antenna. In the response of different frequencies of new antenna, electric field value 8.18E-07 V/m at low frequency (0.125Hz) is more than 5.79E-42 V/m at frequency (10KHz). Magnetic field value 5.81E-05 A/m at low frequency (0.125Hz) is more than 1.74E-39 A/m at frequency (10KHz). It was investigated twin collinear dipole antenna produced stronger electric and magnetic fields as compared to half wavelength dipole antenna in offshore environment. [ABSTRACT FROM AUTHOR]