Petroleum Industry Research Articles

Energy efficiency potentials in oil & gas operations: A case study of South Sudan’s petroleum industry

Energy efficiency potentials in oil & gas operations: A case study of South Sudan’s petroleum industry

THE INFLUENCE OF ADDITIVE BASED ON GLUCOSE ON THE SETTING TIME AND STRENGTH OF DRILLING CEMENT

Oil well cement is a cement commonly used in the petroleum industry, especially in cementing operations. This cement is a type of Portland cement and is anhydrous, meaning that the components in the cement will break up and form hydrate components when meeting water and then slowly harden. In the preparation of cement suspensions and during cementing operations, the physical properties of cement suspensions must always be considered because they will affect the quality of cementing results. Research was conducted on a laboratory scale based on experiments to test the physical properties of drilling cement. The experiment aims to test the compressive strength of cement rock and the setting time in the form of initial and final setting time required by the cement suspension to harden as a result of the addition of glucose-based additives. The test results showed that the greater the concentration of glucose-based additives added to the drilling cement suspension, the longer the setting time of the cement suspension and the lower the strength of the cement rock.

Constructing oxygen-based multiple hydrogen bonding sites and delocalized π bonds for efficient oil-water-solid interfacial separation.

Constructing oxygen-based multiple hydrogen bonding sites and delocalized π bonds for efficient oil-water-solid interfacial separation.

Comprehensive review of stabilising factors, demulsification methods, and chemical demulsifiers of oil-water emulsions

Comprehensive review of stabilising factors, demulsification methods, and chemical demulsifiers of oil-water emulsions

Development of Petroleum Applications and their Benefits Using Artificial Intelligence

The application of AI and ML across various industries, such as manufacturing and petroleum, has led to innovative solutions that enhance productivity, accuracy, and decision-making capabilities. PCA was used to identify key GAI and MLA variables that influence the performance of the oil and gas value chain. SEM was employed to assess the regression equations related to their application. Recently, significant advancements in artificial intelligence (AI) technology have rapidly expanded within the petroleum industry, presenting enormous potential for growth and innovation. Generative Artificial Intelligence (GAI) and Machine Learning Algorithms (MLA) are becoming increasingly important in the oil and gas industry due to rapid advancements in society and technology. Principal Component Analysis (PCA) was utilized to identify critical variables influencing performance in the oil and gas value chain, and their effects were evaluated using Structural Equation Modeling (SEM). To effectively make decisions in the oil and gas value chain, it is essential to utilize advanced processing and analysis tools because of the vast amo unt of data generated by real-time monitoring of reservoirs and well operations. Machine learning (ML) is a powerful subset of artificial intelligence (AI) that utilizes models and algorithms to analyze historical data and extract insights. AI is a groundbreaking technology that enables machines to mimic human behavior.

Simulation and experimental study on a non-contact constant power thermal gas flowmeter

Abstract In the chemical, petroleum, metallurgical and other industries, accurate measurement of gas flow helps optimize production processes. In this paper, a non-contact constant power thermal flowmeter is applied to realize the gas flow measurement. A fluid-structure coupled heat transfer model is built to investigate the fluid flow and heat transfer process, and the influences of the sensor installation position, the heating power and the fluid temperature on the measurement are analyzed. An experimental platform with gas flow calibration was carried out to verify the effectiveness of the simulation model and the measurement system. Both simulation and experimental results show that: the relationship between mass flow G and temperature difference Δ T is inversely proportional, which is consistent with the theoretical analysis. Choosing the proper sensor mounting position is crucial to the measurement performance, this part can be accomplished with the help of dynamic simulation models. As the heating power escalates, the sensitivity concomitantly rises; nevertheless, the measurement error also exhibits an upward trend. So, the heating power should be selected according to the actual working condition. Based on the above analysis and system design, the average relative error of the measuring system at the selected installation position is less than 3%, and the maximum relative error is 4.9%.

Potential of Jatropha Curcas Seeds oil for Polyester-amides Production

Purpose: Jatropha curcas potential as feedstock for polyester-amides production was studied. Polyesteramides are valuable biomaterials in the activities of petroleum industries where they are utilized as oil field chemicals. Methodology: Jatropha curcas fruits were collected in Ibadan and its environment. Seed oil of this fruit was extracted using n-hexane and concentrated. The phenol Jatropha curcas biopolymer (PJCB) and cresol Jatropha curcas biopolymer (CJCB) were prepared by polymerizing the oil with phenol and cresol via cationic polymerization method. Polyacrylamide (PAA) was prepared through free radical polymerization technique. Polyester-amides were prepared by polymerizing PJCB, CJCB and polyacrylamide (PAA). They were characterized using FTIR for functional groups modifications, 1H-NMR for changes in the chemical environments and Viscometry techniques for mean molecular weight determination. Findings: The oil yield is 55.60%. Iodine value (gI2/100g) is 105.33±1.78, 97.32±0.01, 101.33±0.66 for oil, PJCB and CJCB respectively. FTIR band shifts at 1649.48cm-1 and 1600.35cm-1 confirm C=C stretch of aromatics in PJCB and CJCB. PAA formation was confirmed with C=O stretch at 1680.00cm-1. Peaks at 3234.28cm-1 and 3097.14cm-1 assigned to N-H stretching vibration of amides confirmed polyester-amide. The 1H-NMR spectra showed peaks at δppm, 7.25 and 7.06 indicating aromatics for the PJCB &CJCB. δppm at 7.18 confirms amide protons in PAA. δppm 6.86 and 8.69 confirm amide formation while peaks at δ2.36ppm and δ3.11ppm were evidences for ester formation. These peaks confirm the new materials as polyester-amides. The mean molecular weight (g/mol) for PJCB, PJCB-PAA, CJCB and CJCB-PAA are 1.041x109, 1.39187x1012 9.929x109 and 1.07919 x 1012 respectively. Unique Contribution to Theory, Practice and Policy: Jatropha curcas oil is viable in formulating polyester-amides for industrial usages.

LIGHTWEIGHT AND ULTRALIGHTWEIGHT PROPPANTS POTENTIAL FOR ENHANCEMENT OF HYDRAULIC FRACTURING EFFICIENCY

Today, hydraulic fracturing remains one of the main production stimulation techniques for wells drilled in unconventional reservoirs and in formations with poor reservoir properties. Russian and international petroleum industries have gained substantial hands-on experience in hydraulic fracturing, many technologies have been proven for different geological conditions. However, technologies that meet operational and economic efficiency requirements are not abundant.Conventional hydraulic fracturing technology becomes less advantageous in complex geological conditions: breakdown of inter-reservoir barriers between nearby water-saturated and gas-saturated formations takes place. The share of hard-to-recover reserves is ever increasing, while the growth of recoverable in-place reserves slows down. Therefore, in the near future, oil and gas producers will have to produce hard-to-recover reserves, which require application of modern technologies and solutions.The paper reviews foreign and domestic experience in the development of technologies allowing for control of vertical propagation of induced fractures using lightweight and ultralightweight proppants. The most promising fracturing technologies and routes forward to reduce the dependence on foreign suppliers are highlighted.In the present paper, proppants are classified according to their density and application conditions. It has been found that lightweight and ultralightweight proppants enable more uniform distribution in the fracture and higher conductivity of the resultant proppant pack. The main structures of hydraulic fractures due to application of high-viscosity and low-viscosity fluids and the effects of such structures on proppant pack conductivity are also provided. In the presence of bound bottom water, a uniform inflow profile ensures optimal reserves depletion and increase in ultimate oil recovery. Injection of lightweight and ultralightweight proppants with low-viscosity fluids will facilitate increase of fracture length and fracture propping within the pay section of target reservoir.Experience of oil and gas production companies has been reviewed to consider the potential for the evolution of lightweight and ultralightweight proppants and the main development trends for the near-term future.

Thermodynamic and Interfacial Characterization of Petroleum Industry Surfactants: A Study on Critical Micelle Concentration and Interfacial Tension Behavior under Mild Conditions.

Surfactants play a vital role in oil and gas applications, particularly in enhanced oil recovery (EOR), where interfacial tension (IFT) reduction and micellization are key to improving fluid mobility. This study aims to evaluate the interfacial and thermodynamic properties of five widely used petroleum surfactants to better understand their efficiency under mild reservoir-like conditions. IFT is measured using the spinning drop tensiometer across a temperature range of 25-40 °C, while critical micelle concentrations (CMC) are determined via conductometric methods. Thermodynamic parameters of micellization are calculated from temperature-dependent CMC data. The results show that micellization is an entropy-driven process for all tested surfactants. The studied surfactants significantly reduce IFT values within the tested temperature range, underscoring their potential for practical application in EOR formulations. The study also confirms that accurate determination of CMC is essential in optimizing surfactant efficiency under varying environmental conditions.

Sustainable supply chain management practices and environmental performance in a developing country’s petroleum industry: the mediating role of operational performance

Sustainable supply chain management practices and environmental performance in a developing country’s petroleum industry: the mediating role of operational performance

Controlling the convective heat transfer of shear thinning and shear thickening fluids in parallel plates with magnetic force

Abstract The heat transfer analysis from the mixture flow of Carreau fluid in infinite horizontal parallel plates under the impact of the magnetic field is proposed in this theoretical analysis. The flow and heat transfer analysis through parallel plates offers various applications in nuclear reactors, microfluidic devices, lubrication systems, chemical, industrial and biological systems, etc. With motivation of current non-Newtonian fluids (Carrreau fluid) used in industries and chemical engineering, the goal of this research is to develop a mathematical model based on fluid phase and particulate phase to control the temperature of fluid and increase the convective heat transfer in considered non-Newtonian fluids under the suitable range of the physical parameters including magnetic field parameter, Darcy number, Power-law index, slip boundary conditions, volume fraction density and Weissenberg number. The nonlinear mathematical model is established with the contribution of the stress tensor and solved through the perturbation series technique. The computational results are discussed through plots and tables. From the calculated data it is perceived that volume fraction density improved the velocity and temperature distributions. It is also noted that the contribution of the magnetic field declines the flow and thermal field. The slip parameters and Darcy number upsurge the velocity and temperature fields. The comparative analysis between mixture phase flow and simple phase flow is also discussed and observed that the mixture phase flow gives more heat transfer in Carreau fluid as compared to simple phase fluid. The present research will help to understand the basic research of the mixture-phase flow of highly viscous fluid through the porous medium when the uniform magnetic field is applied transversely. Further, applications of the present study are found in medical treatment with wound healing and hyperthermia, heat exchangers, nuclear reactors, etc. This research can also be useful in petroleum industries for cleaning and purifying immiscible oils.

Study on safely working in confined spaces in the petroleum industry: Risk factors, current control procedures, and alternatives

Study on safely working in confined spaces in the petroleum industry: Risk factors, current control procedures, and alternatives

A dataset of 15 maize hybrids subjected to drought, salinity, and aluminum toxicity stresses

Maize (Zea mays L.) is one of the world's main cereal crops, being widely used for human consumption, animal feed formulation, and in the production of biofuels, starch and petroleum industries. However, abiotic stresses such as drought, salinity, and aluminum toxicity have often limited crop development and yield. These stresses can also alter soil conditions, which can negatively impact the germination process and early growth of maize plants. These adverse environmental conditions affect the development of maize at various stages of plant growth; however, the initial seedling stage is one of the most vulnerable and critical growth stages in the plant's life cycle. Therefore, the search for corn genotypes tolerant to abiotic stresses is a strategy to ensure food security and the sustainability of agricultural production in tropical soils. This study presents a dataset of 15 maize hybrids, with a focus on their morphological responses under drought, salinity, and aluminum toxicity conditions. The dataset includes comprehensive measurements such as emergence rate (E), plant height (PH), length of the longest root (LR), total plant length (TPL), total root system length (TRL), root volume (RV), leaf area (LA), shoot dry matter (SDM), root dry matter (RDM), total plant dry matter (TDM), and root to shoot ratio (RS) under non-stressful (control) and stressful (drought, salinity and aluminum toxicity) conditions. The analysis of the data from this research allows for a better understanding of the genetic and phenotypic responses of corn plants associated with tolerance to abiotic stresses. This dataset provides a basis for further exploration of abiotic stress tolerance mechanisms in maize and opens new avenues for improving agricultural sustainability. Understanding the underlying mechanisms of tolerance in these hybrids will provide valuable insights for developing breeding strategies aimed at improving maize adaptation to challenging environments.

Research on the resilience of petroleum industry chain and supply chain network from the perspective of China

Research on the resilience of petroleum industry chain and supply chain network from the perspective of China

Natural gas hydrate production using the corona electric discharge treated carbon nanotubes

In this research, methane gas hydrate production using the corona electric discharge treated carbon nanotubes is investigated for the first time. The findings indicate that when an optimal quantity of corona discharge-treated multi-walled carbon nanotubes (MWCNTs) is present, the gas to hydrate (GTH) conversion rate can increase by as much as 780% compared to the case of untreated MWCNTs. The corona technique introduced here significantly outperforms traditional chemical treatment methods, as it does not involve the introduction of harmful or toxic chemicals into the aqueous phase. Furthermore, a mechanistic kinetic model is introduced, exhibiting an average absolute deviation (AAD) of 1.5%, which facilitates precise predictions of gas hydrate production process. The proposed innovative corona technique presents a strong and eco-friendly alternative to usual functionalization methods, with the potential to markedly improve the performance of gas hydrate production in petroleum industry.

Gallic acid based green corrosion inhibitor for mild steel in 1 M HCl electrochemical and microbial assessment with theoretical validation

The petroleum industry, characterized by the significant investment in costly equipment and devices utilized in the extraction, production, or processing of crude oil, can result in the loss of valuable assets or the crude itself. This research involved the synthesis of a Schiff base from substituted gallic acid derivatives through an intermediate reaction known as N-(2-{2-[2-(2-amino-ethylamino)-ethylamino]-ethylamino}-ethyl)-3,4,5-trihydroxy-benzamide (AEET). The synthesized compound was characterized using FTIR and 1HNMR spectroscopy to evaluate its effectiveness in inhibition. The performance of the inhibitors was assessed through an electrochemical process that included Tafel and EIS. This evaluation was supported by theoretical mechanisms involving density functional theory (DFT) and molecular dynamics simulations (MDS). To validate the findings from the electrochemical studies, the scanning electron microscopy (SEM) technique was employed to examine the topographic anisotropy characteristics between the treated and untreated samples of mild steel species. The bioassay diluted serial technique was utilized to assess the AEET as effective biocides for managing bacterial growth issues. This evaluation included an analysis of the AEET’s efficiency in inhibiting sulfate-reducing bacteria (SRB). Additionally, computational methods were described, demonstrating optimal scores, RMSD values, and binding interaction energies associated with the formation of hydrogen bonds with specific receptor residues to investigate the biological activity.

Effect of Kaolin Grain Size on Its Efficiency as Anti-Seepage in the Petroleum Industry

The study goals encompassed the evaluation of the effectiveness of kaolin liners in preventing the seepage of crude oil with different viscosities. The research used light and heavy crude oils sourced from Al-Barjisiah and Al-Ahdab oil fields in Iraq with kaolin grains of varying sizes. In the first stage, kaolin was analyzed using X-ray diffraction and X-ray fluorescence to identify minerals and chemical composition. The physical characteristics of crude oil were also examined. Ten liners were prepared for the test depending on kaolin grain size ranging from 300, 150, 75, 50 µm and nano size with chosen crude oil. The findings indicated that kaolin liners of various sizes could not retain light crude oil. The flow of heavy crude oil was observed to be impeded, and seepage was effectively stopped for different durations when kaolin liners of varying sizes, precisely 50 µm, 75 µm, 150 µm, and 300 µm, were employed. These durations were measured to be 54, 96, 90, and 72 hours, respectively. Partial replacement of kaolin 150 µm by nano-size kaolin improved liner ability to impede the flow of light and heavy crude oil with a long period of retention time and without seepage.

Chemical mechanical polishing as an alternative surface treatment technique for corrosion prevention of carbon steel in an acidic medium

Chemical mechanical polishing (CMP) has been a standard technique in semiconductor manufacturing for achieving smooth surfaces. CMP utilizes a synergistic interplay of chemical and mechanical interactions to achieve the desired removal rates, selectivity, and ultimately planarity with different substrate materials. In this study, the impact of CMP on the surface properties of steel used in the petroleum industry was examined, with a focus on its corrosion behavior posttreatment. Steel samples were subjected to CMP with and without an oxidizer in a silica-based slurry, and their surface characteristics were compared to those of samples polished mechanically. The addition of an oxidizer to the slurry resulted in increased material removal rates and the formation of an oxide layer on the surface; this phenomenon was not observed in CMP without an oxidizer. However, in mechanical polishing, the action of silicon carbide grains on the steel surface led to an increase in the removal rate but caused a decrease in its corrosion resistance. Compared with other treatments, the oxide layer provided a good protective barrier against corrosion and improved the corrosion resistance of the steel substrate. Based on the results from the practical study, an improvement in the corrosion resistance properties was observed due to the chemical reaction of the oxidizer and the mechanical action of the silica nanoparticles; these results showed the importance of chemical mechanical polishing as an alternative method to reduce the corrosion of steel in acidic environments. Additionally, the effect of hydrogen peroxide in a silica slurry with respect to the wettability, surface roughness, and hardness of steel was examined using contact angle measurements, profilometry, scanning electron microscopy, and microhardness tests.

Eco-Friendly Biomass-Based Carbon Dots, Carbon Nanotubes, Graphene, and Their Derivatives for Enhanced Oil Recovery: A New Horizon for Petroleum Industry.

Oil extraction from reservoirs has never been easy, particularly when easily accessible oil sources run out. Enhanced oil recovery (EOR) is a dynamic area of petroleum engineering that seeks to maximize the quantity of crude oil that can be retrieved from an oil field. Researchers and oil producers have emphasized assessing tertiary-stage recovery approaches, such as chemical EOR (CEOR), due to the problems posed by the diverse carbonate rocks. Polymers and surfactants used in CEOR procedures have the potential to harm formation and contaminate the environment. The environmentally beneficial "green enhanced oil recovery" (GEOR) technique includes infusing green fluids to raise tertiary oil output and boost macroscopic and microscopic sweep efficiency, ensuring sustainable practices while minimizing environmental concerns. Utilizing eco-friendly carbon nanomaterials such as biomass-based carbon dots (CDs), carbon nanotubes (CNTs), graphene, and their derivatives for EOR and reservoir monitoring applications represents a promising frontier in the petroleum industry. These particles are pricey and do not extend to GEOR but have been successfully tested in EOR. This innovative approach capitalizes on the unique properties of these nanomaterials to improve the efficiency and sustainability of oil extraction processes. This review aims to explore biomass-derived carbon nanoparticles and investigate their possible functions in GEOR. Furthermore, the use of carbon particles in the GEOR approach is still poorly understood; thus, there needs to be a lot of credentials. The effectiveness, sustainability, and environmental responsibility of petroleum production operations can be enhanced by incorporating carbon nanomaterials from biomass into enhanced oil recovery systems. An environmentally friendly and more resilient energy future may be possible if research and development in this area are allowed to continue. This might completely change how oil resources are found and used.

Physical and Technical Properties of Composite High-Temperature Thermal Insulation Material based on White-Burning Clay from Kornilovsky Deposit in the Tomsk Region

The relevance of the study of clays from the Kornilovsky deposit (Tomsk Region) is due to the need to find alternative raw materials for industry that can replace imported or expensive materials such as chamotte-talc bricks SHTL-0.6. The use of local overburden can reduce the environmental burden and economic costs, and contribute to the development of regional production technologies.Purpose: The comprehensive analysis of the physicochemical properties (chemical, mineral, granulometric composition, plasticity, fire resistance) of clays and evaluate their technological potential for the use in ceramic, construction, electrical engineering and petroleum industries. Comparison of the material characteristics with its analog (SHTL-0.6) to substantiate the competitiveness.Research findings: It is shown that clays from the Kornilovsky deposit have the best parameters of water absorption, shrinkage and fire resistance that allows their use in the production of ceramics, lightweight building materials and thermal insulation components. Comparison with SHL-0.6 brick shows comparable or improved technical properties, including reduced density and increased heat resistance.Value: The results confirm the feasibility of introducing clays into industry, which can contribute to the development of resource-saving technologies and the expansion of the region's raw material base.