Oil Pipelines Research Articles

Development and Outlook for Pipeline Inspection Robots

Background:: Robots for pipeline inspection are frequently employed in long-distance oil, wastewater, and natural gas pipelines. Much complex research is being conductedon pipeline inspection robots, including work on fluid-driven and non-fluid-driven, among other things. Research on pipeline inspection robots can be advanced by examining their current stage of development. Additionally, pipeline inspection robots may be able to promote the growth of the pipeline transportation sector by creating new structures. Objective:: This study aims to examine the benefits and drawbacks of several pipeline inspection robots and theirdevelopment trend through the lens of the most recent advancements in the field. Methods:: Through the structure and application scenarios of the latest representative patents of pipeline inspection robots, the working principle and characteristics of pipeline inspection robots are demonstrated. Results:: The shortcomings of the current pipeline inspection robots are highlighted, along with potential future development pathways and research issues, by comparing pipeline inspection robots of various structures. Conclusion:: The development of pipeline inspection robots has benefited the construction of sewage, oil, natural gas, and long-distance pipelines, as well as long-distance pipeline transportation. Because of these robots' unique features and ample room for advancement, pipeline inspection robots have even more development prospects.

Experimental research of paraffin deposition with flow loops

Abstract Wax/paraffin deposition in production wells and oil pipelines is a major challenge for oil production. Extensive research has been conducted to improve understanding of this process. This paper presents a review of experimental work carried out with flow loops. Previous research investigated paraffin deposition process under the influences of temperature, flow rate/velocity, shear stress, water fraction, gas phase, pipe material, asphaltene concentration, and chemical inhibitors. Test results reveal that temperature and shear stress have significant impacts on wax deposition. Limited research has been conducted on wax deposition under multiphase flow. Even though more than 20 years of efforts have been spent on wax deposition studies, unfortunately we have not fully understood this phenomenon.

Robust pressure prediction of oil and gas pipeline networks based on equipment embedding neural network

Currently, extensive pipeline networks are developed in response to the demands of the oil and gas industry. The accurate estimation of the hydraulic condition of pipeline networks holds significant importance in the fields of pipeline design and safety management. Nevertheless, predicting the pressure of oil and gas pipeline networks with different equipment and structures remains challenging. To meet this challenge, a novel pressure prediction model for the oil and gas pipeline networks based on the equipment embedding neural network (EENN) is proposed in this study. The proposed model embeds different equipment models into the neural network model. The neural network in this model is used to focus on learning the connection characteristics of the pipeline network to achieve higher prediction accuracy. The present study first explores different embedding combinations of the EENN model to estimate the pressure in an oil pipeline network system that involves a non-isothermal batch transportation process. Then, the trained model is applied to predict the pressure in a gas pipeline network. The optimal EENN exhibits an average prediction error of 18.5% for oil pipelines and 0.36% for gas pipelines, which is lower than 20.8% and 3.57% under the neural network. The findings of this study demonstrate the efficacy of the proposed EENN in accurately forecasting pressures in diverse oil and gas pipeline networks by reducing the complexity of the learning process.

An Experimental Investigation for Flow Characteristics of Heavy Oil in Pipe Lines Using Dilution Technique With Different Solvents

An Experimental Investigation for Flow Characteristics of Heavy Oil in Pipe Lines Using Dilution Technique With Different Solvents

A Review on Nano Fluid Production, Mathematical Modelling and Applications

Recently, nano fluids have taken on a significant role in many human endeavours. A fluid called a nanofluid includes nanoparticles, also called nanoparticles. Colloidal suspensions of nanoparticles in a base fluid are what these fluids are made of. The numerous production procedures and mathematical interpretation models for nanofluids are examined in this review study. Marangoni convection’s advantages, which enhance heat transfer and balance temperature distribution, are underlined. The effects of thermophoresis on surface tension as well as surface tension in laminar natural convection are also discussed in this work. The characteristics of carbon nanotubes and their prospective medical uses are covered in the article. The study covers electrochemical double layer capacitors, which offer greater safety, longer cycle stability, and better power densities. The study explores the impact of magnetic fields on entropy formation and natural convection in a hybrid nanofluid enclosure, revealing four distinct models based on thermal conductivity and viscosity correlations. The information review work is relevant. The review information work is relevant to flow tracers, prosthetic heart valves, oil pipelines, chemical industry separation methods, and oil recovery.

Formation behaviors of gas hydrates in water-in-oil emulsions with the coexistence of asphaltenes and resins

Hydrate formation is one of the major flow assurance issues for the subsea multiphase pipelines. The effects of the interaction between heavy fractions of crude oil components on hydrate behaviors are still not well understood. In this study, the effects of resins on hydrate formation behaviors in asphaltene-containing emulsions were investigated using a high-pressure reactor apparatus. The results indicated that both resins and asphaltenes inhibited hydrate nucleation and increased the induction time. Furthermore, considerable synergistic effects of asphaltenes and resins on the hydrate formation behaviors were discovered in the water-in-oil emulsions, depending on the aggregation state of asphaltenes. The addition of resins was observed to disperse the asphaltene aggregates significantly and enhance the inhibitory effect of asphaltenes on hydrate nucleation. Additionally, the calculated results of gas consumption showed that the presence of resins can decrease the growth rate of hydrates in the asphaltene-containing emulsions. A potential mechanism was presented to illustrate how resins affect hydrate formation in an emulsion with varying asphaltene aggregation states. These findings offer a better knowledge of the synergistic effects between the heavy components of resins and asphaltenes and have potential application in the hydrate management of crude oil pipelines.

An intelligent control for reducing third-party interference in oil and gas pipeline using Deep Q-Networks (DQN)

An intelligent control for reducing third-party interference in oil and gas pipeline using Deep Q-Networks (DQN)

A multi-step attack path prediction method for oil & gas intelligence pipeline cyber physics system based on CPNE

Owing to the integration of the 5th Generation Mobile Communication Technology (5 G) and industrial internet construction, Oil & Gas intelligent pipeline network has witnessed accelerated construction and development. The Oil & Gas intelligent pipeline network proposed by China National Petroleum Corporation exhibits the advantages such as high integration, data unification, and intelligent decision-making, which helps to greatly reduce manual management costs, optimize risk decision-making by managers, and avoid risks such as human misuse. However, the highly integrated Cyber-physical system of the Internet and the Internet of Things faces various cyber security threats, and traditional intrusion detection systems exhibit drawbacks in the face of complex cyber-attack behaviors. In response to incomplete multi-step attack path prediction in traditional prediction methods, this paper proposes a multi-step attack path prediction method for Oil & Gas intelligence pipeline cyber physics system (CPS) based on Colored Petri nets and mixed strategy Nash equilibrium (CPNE). Taking into account the importance of assets and the dependency relationships between assets within the cyber-physical system of Oil & Gas intelligent pipeline network, CPNE constructs a node dependency model for the cyber-physical system of Oil & Gas intelligent pipeline network, simulates multi-step attack and defense games, calculates the probability of node failure triggering and transfer using mixed strategy Nash equilibrium, and extracts the risk of multi-step attack paths for different attack strategies. With the filtration and separation unit of a certain natural gas station as an example, this paper establishes a CPNE model to rank the risk of the first multi-step attack single attack source path and predict the risk of subsequent multi-step attack source paths, thus predicting multi-step attack paths. Taking three rounds of attacks as an example, compared to the paths predicted by traditional probability attack graph models, the proposed CPNE model is more advantageous in multi attack source path prediction, with a 2.33-fold increase in the relative coverage rate of path predictions.

Enhanced the SRB corrosion resistance of 316L stainless steel via adjusting the addition of Cu and Ce elements

316L stainless steel (SS) is the key raw material for the preparation of high-performance oil and gas pipelines, but even 316L with excellent properties will be attacked by sulfate-reducing bacteria (SRB) corrosion. Excellent antibacterial effects have been obtained in other SS systems by doping antibacterial elements. However, the current research on the preparation of antibacterial 316L SS is not comprehensive, and the quantitative analysis of the antibacterial mechanism and doping elements is still unclear. In this paper, the SS with Cu and Ce added were prepared by vacuum induction melting. Then the homogenization treatment combined with hot rolling was used to improve the structure segregation and mechanical properties. Further, the weight loss tests and electrochemical tests were conducted to evaluate the corrosion resistance of SS, the corrosion products and morphology were analysed, and the deformation structure was characterized to clarify the corrosion mechanism of the modified SS and quantify the doping elements. The results indicate that the microstructure after homogenization is mainly austenite, and with the increase of Ce content, the Ce-rich phase segregates. The inhibitory effect of Cu on SRB can be explained by the destructive effect of Cu ions on cell membranes. On this basis, adding a low content of Ce element can increase the permeability of the SRB cell wall and further enhance the attack effect of Cu ions on the cell membrane. The corrosion behavior of alloys shows the deformation structure dependence, with crystal defects and segregation increasing the corrosion rate. The optimal addition amount of Ce is 0.18 wt%, and the strength and elongation of SS are 511.18 MPa and 108.2%, respectively.

Effect of temperature rise on the mechanical behaviour of deep-sea clay surrounding oil and gas pipelines

The mechanical behaviour of deep-sea clay is crucial for oil and gas pipeline safety and is traditionally assessed through in situ penetration testing, which is usually conducted in a low-temperature environment (usually at temperatures lower than 4 °C). However, the temperature of deep-sea clay surrounding high-temperature pipelines can reach approximately 20 °C. To date, the influence of temperature variation on the mechanical properties of deep-sea clay, especially strain-softening behaviour, has been largely overlooked, posing a safety risk to practical engineering. Consequently, this study first establishes a temperature-controlled cyclic penetration testing platform. Then, an enhanced mini-spherical penetrometer is employed to investigate the undrained strength and strain-softening behaviour of undisturbed deep-sea clay samples at 4 °C, 10 °C and 20 °C. In particular, an improved framework is proposed to quantitatively characterize the mechanical behaviour. Finally, a strain-softening law considering temperature variations is established and rigorously validated through in situ tests. The findings underscore several significant observations: (a) deep-sea clay in its intact state exhibits a heightened sensitivity to temperature variations compared to that in its remoulded state; (b) temperature variations influence the strain-softening parameters of deep-sea clay, resulting in distinct behaviours; and (c) the proposed strain-softening law considering temperature variations is verified to be more logical.

Oil and Gas Pipeline Leakage Detection using IoT and Deep Learning Algorithm

Oil and Gas Pipeline Leakage Detection using IoT and Deep Learning Algorithm

Application of Improved Support Vector Machine in Predicting Failure Pressure of Oil and Gas Pipelines with Internal Corrosion Defects

In this study, the failure pressure of submarine oil and gas pipelines was predicted by using five commonly used machine learning models and derivative models. Firstly, an efficient local time-intensive finite element algorithm is constructed and used to generate a machine learning database. Secondly, in order to improve the accuracy of machine learning algorithm, the frontier optimization algorithm is improved to form a new predictive regression model IAEO-SVM model. To compare the accuracy of commonly used machine learning models and IAEO-SVM models, a comprehensive evaluation standard consisting of k-fold cross-validation and three statistical indicators was used. Finally, the influence of seawater depth and geometric factors of corrosion defects on the blasting pressure of submarine oil and gas pipelines was comprehensively analyzed through the high-dimensional surface built by the IAEO-SVM model. The IAEO-SVM model shows superior stability and accuracy compared to the comparison model, as demonstrated by its MSE’ of 0.0482, R2’ of 0.9982, MAE’ of 0.1295, and SD of 0.2198. The high-dimensional surface obtained through inversion shows a linear relationship between seawater depth and failure pressure. Meanwhile, the width of corrosion defects has a significant impact on failure pressure, accounting for up to 23% and thus cannot be overlooked.

A wonder adhesive for replacing the scarce metal

Introduction. Based on archival materials, the article follows a little-known fact of the Great Patriotic War 1941–1945, namely, the scientific discovery by the specialists of the Central Research Institute (TsNIPS), related to the creation of the formulation for the TsNIPS-2 construction adhesive. With its help, in a difficult period for the country, the industrial production of new construction materials was established and Red Army gunsmiths, located on the front line, quickly restored small arms that went out of action in battles with the enemy.Aim. To introduce into a scientific discourse the materials of archival sources on the history of creating a TsNIPS-2 new construction material, as well as on the individual research results of its inventor – a senior researcher, Cand. Sci. (Engineering) Maria N. Plungyanskaya, who worked for a long period in the TsNIPS Laboratory of Timber Structures.Materials and methods. Archival materials on the current topic were used in the preparation of the publication. Due to them, as well as with the help of retrospective, historical-typological and comparative research methods, the author traced certain aspects of the complex path of creating a new adhesive by clarifying its composition, order of preparation and industrial application.Results. The article studies and shows the individual stages of creating the TsNIPS adhesive formula, which ensured (due to cold-dry setting) the large-volume industrial production of high quality construction plywood of various thicknesses for the construction industry, as well as other timber structures that replaced the scarce metal. The procedure and rules for the practical use of the TsNIPS-2 adhesive by gunsmiths beyond the limits of stationary conditions (“in a trench”) for the successful restoration of wooden parts in rifles and assault rifles (butt, forearm, etc.), as well as the prompt return of thousands of weapons to the units are described.Conclusions. The content of the article will serve as a vivid illustration in the scientific and educational context about the traditions and activities of scientific schools, presented by the institutes of JSC Research Center of Construction, their contribution to the research field on the creation of new construction materials for increasing the power of the country. The research work of the Institute’s scientists was of a great practical importance, offering the construction industry new types of light industrial collapsible structures with a high transportability, their numerous achievements were effectively used at the front to achieve the Great Victory. In the period of 1930–1940, the construction, widely developed in the country, required, on the one hand, high-quality design solutions and, on the other hand, the simplicity and economy of their implementation. In these conditions, adhesive and laminated plywood structures were of a particular importance, ensuring the industrialization of the wooden construction part production and the cost-effectiveness of using timber in construction. The important properties of the TsNIPs-2 adhesive, obtained by the researcher M.N. Plungyanskaya, including water resistance and durability, as well as simplicity and ease of its handling, made it possible to use the material in industry for assembling the hulls of wooden ships, producing laminated structures, parts of cars, and oil pipelines, made of veneer or thin plywood, as well as in combat conditions for the manufacture and repair of small arms, etc., thereby bringing a significant economic effect and expanding the possibilities of its use in the domestic industry.

Calculation model for critical depth of kinked dents on pipelines with internal pressure

Kinked dent is caused by the external force on the oil and gas pipeline, and its curvature is small, which seriously affects the operation safety of the pipeline. This paper focuses on the study of the critical depth of kinked dent for steel pipelines with internal pressure, to propose the safety evaluation criterion for pipelines with kinked dents. First, a full-scale hydraulic bursting test of a steel pipeline with kinked dents is designed, and the pressure-bearing capacity and the strain response law of the kinked dent in the test process are obtained. The results show that the pipeline does not fail at the kinked dent, and the kinked dent almost completely rebounds and has a certain pressure-bearing capacity. Then, a finite element simulation model of the pipeline with kinked dents is established, and the accuracy of the model is verified by comparing with the test. After that, the pressure-bearing failure mode and failure criterion of the pipeline with kinked dents are determined, the sensitive parameters affecting the failure are analyzed, and the effects of the parameters such as the depth and angle of the kinked dent, the diameter thickness ratio and yield ratio of the pipeline on the pressure-bearing capacity are obtained. Finally, based on many numerical simulation results, a calculation model for the critical depth is proposed as a safety evaluation criterion for the pressure-bearing failure of pipelines with kinked dents.

Analysis of factors affecting the formation characteristics of carbon dioxide hydrates in pure water system

As the oilfield fully enters the late stage of exploitation, the water content in the oil and gas transportation pipelines is rising. Meanwhile, the high-pressure and low-temperature environment inside the pipeline facilitate the formation of hydrates, which will seriously block the mixing pipeline and cause a series of production safety problems. Therefore, it is necessary to control the risk under the high water content system. In this paper, a high-pressure flow loop device with a viewable window was used to study the formation characteristics of carbon dioxide hydrate in a pure water system, and the effects of the liquid loading, pressure, volume flow rate, and two inhibitors, polyvinylpyrrolidone (PVP) and propylene glycol methyl ether (PM), on the induction time of carbon dioxide hydrate formation were investigated. The experimental results showed that the amount of liquid loading, pressure, volume flow rate, and inhibitor had a significant effect on the hydrate induction time. In addition, the ether compounds PM and PVP have inhibitory synergistic effects, which can significantly prolong the hydrate induction time, and the inhibitory synergistic effect is further enhanced with the increase of PM concentration, which further suggests the synergistic inhibition mechanism of the two. Based on the standard regression coefficient method, the factors affecting the induction time were subjected to sensitivity analysis, and it was found that the inhibitor was the most important factor affecting the induction time. Therefore, future research should also focus on finding better performance of inhibitors, synergists and their ratio.

The Effect of Bending Selection for Restrain Load Analysis Crude Oil Pipeline at Pig Launcher Area

The Effect of Bending Selection for Restrain Load Analysis Crude Oil Pipeline at Pig Launcher Area

Semi-quantitative Evaluation Method and Application of Pipeline Geological Risk

Since the 21st century, long oil pipelines have become the arteries of global energy transportation and an important part of social development. With the continuous development and progress of the economy, the construction of long-distance pipelines is the main way to ensure related transportation. With the emergence of long-distance pipeline transportation, people pay more and more attention to the safety problem. In practical work, pipeline transportation is more obvious in geological risks. In this paper, the quantitative evaluation technology of geological hazards of long-distance transportation pipelines is studied.

New Approach to SCADA System Screen Configuration Based on the Model of Oil and Gas Pipeline Network

INTRODUCTION： With the continuous progress of science and technology, the monitoring and control of oil and gas pipeline networks have become more and more critical; SCADA systems, as a kind of technology widely used in industrial control, play a key role. The screen configuration of the SCADA system is the core part of its user interface, which is directly related to the operator's mastery of the status of the pipeline network. In order to improve the monitoring efficiency and reduce the operation risk, this study is devoted to exploring a new method of SCADA system screen configuration based on the oil and gas pipeline network model.PURPOSE: The purpose of this study is to develop an innovative SCADA system screen configuration method to present the operating status of the oil and gas pipeline network more intuitively and efficiently. The design based on the pipeline network model aims to enhance the operators' understanding of essential information, such as pipeline network topology, fluid flow, etc., so as to make monitoring and control more intelligent.METHODS: The study adopts a new method of SCADA system screen configuration based on the oil and gas pipeline network model. First, the topology, sensor data, and control nodes of the oil and gas pipeline network are comprehensively modelled. Then, through the design principle of human-computer interaction, the modelling results are integrated into the screen configuration of the SCADA system to realize the intuitive presentation of information. At the same time, advanced visualization technology is introduced so that the operators can understand the real-time changes in the pipe network status more clearly.RESULTS: After experimental verification, the new method shows significant advantages in oil and gas pipeline network monitoring. The operators can recognize the abnormalities of the pipeline network more quickly and accurately through the SCADA system screen configuration, which improves the efficiency of troubleshooting and treatment. The visualized interface design makes the operation more intuitive and reduces the possibility of operating errors, thus improving the safety and reliability of the pipeline network.CONCLUSION: The new method of SCADA system screen configuration based on the oil and gas pipeline network model has achieved significant results in improving monitoring efficiency and reducing operational risks. Through a more intuitive and intelligent interface design, operators can have a more comprehensive understanding of the operating status of the pipeline network, which provides practical support for rapid response and decision-making. This approach introduces new ideas to the field of oil and gas pipeline network monitoring, which is of positive significance for improving the overall performance of the system. Future work can be carried out to optimize the interface design further and expand the applicable scenarios.

OPC UA Application Study in Oil and Gas Pipeline Network Monitoring Data Forwarding

INTRODUCTION： With the continuous development of oil and gas pipeline network monitoring and control technology, the need for data transmission and communication is becoming more and more prominent. In this context, OPC UA has attracted wide attention. This study aims to explore the application of OPC UA in data forwarding for oil and gas pipeline network monitoring in order to improve the efficiency, reliability and security of data transmission.PURPOSE: The purpose of this study is to evaluate the applicability of OPC UA in oil and gas pipeline network monitoring and to verify its performance in data forwarding through empirical studies. By gaining an in-depth understanding of the characteristics of OPC UA, it aims to provide a more advanced and efficient monitoring data transfer solution for the oil and gas industry.METHOD: The study adopts a combination of field monitoring and laboratory simulation. First, the essential characteristics and requirements of monitoring data in oil and gas pipeline networks were collected. Subsequently, a monitoring system with OPC UA as the communication protocol was established and field tested. In the laboratory environment, data transmission scenarios under different working conditions were simulated, and the performance of OPC UA under different conditions was analyzed.RESULT: The field monitoring results show that the data transmission efficiency is significantly improved by using OPC UA as the communication protocol for data forwarding in oil and gas pipeline network monitoring. Meanwhile, the system performs well in different environments with high reliability and security. The laboratory simulation results further verify the stability and adaptability of OPC UA under complex working conditions.CONCLUSION: OPC UA is an effective communication protocol that can meet the data transmission requirements for oil and gas pipeline network monitoring. Its efficient, reliable, and secure characteristics make it an ideal choice for improving the communication performance of monitoring systems in the oil and gas industry. The empirical results of this study provide reliable technical support for the oil and gas industry in the field of data transmission and a vital reference for the optimization and upgrading of monitoring systems in the future.

A novel stress concentration inspection method for marine oil and gas pipeline based on UNSM

Stress concentration of marine oil and gas pipelines can lead to deformation and cracks, laying out great hidden dangers for safe operation. This paper proposes a novel in-line inspection method for stress concentration based on UNSM (unsaturated magnetization) for oil and gas pipelines. Firstly, the stress concentration inspection mechanism with UNSM is analyzed, and the equivalent magnetic circuit model of the inspection probe is derived. Secondly, the response signal features of axial, radial and complex stresses were investigated parametrically by numerical simulation. Then, quantitative tensile stress inspection was carried out with the UNSM inspection probe. Finally, the pipeline stress state is continuously scanned by the self-developed defect dynamic scanning experimental system. The results show that the UNSM inspection probe can effectively detect the abnormal stress of the pipeline. Meanwhile, the axial tensile, radial compressive stress and complex stress increase the axial permeability of the pipeline, resulting in a negative correlation of characteristic signals. Besides, the signal feature shows the "basin" distribution and decreases gradually with the increase of the lift-off. The above research provides a reference for developing in-line inspection equipment for the abnormal stress of marine pipelines.