Oil Temperature Research Articles

Modeling wax deposition of crude oils using cascade forward and generalized regression neural networks: Application to crude oil production

Crude oil is made of different compositions and materials, namely hydrocarbons, oxygen, nitrogen, sulfur, and various metals. Deposition of heavy components can lead to a restriction of flow paths and decrease the oil production rate during production processes. Deposition of wax is a crucial issue that appears in the transfer equipment and surface facilities and decreases the inner diameter of pipelines. Wax deposition leads to loss of effective diameter and an increase in roughness, which will increase the pressure drop in the oil reservoir. Deposition of wax particles appears in low temperatures which can lead to a blockage of pipelines. When the oil's temperature is less than the wax appearance temperature (WAT), which is called the cold flow regime, oil composition changes because wax crystals precipitate. This research generally focuses on developing accurate intelligent models to predict wax deposition using the pour point temperature and °API of the crude oil sample as input variables. Various smart networks, including multilayer perceptron (MLP), radial basis function (RBF), cascade forward neural network (CFNN), and generalized regression neural network (GRNN) are utilized for this purpose. Four optimization algorithms, namely Broyden–Fletcher–Goldfarb–Shanno quasi-Newton backpropagation (BFGS), Levenberg-Marquardt (LM), Scaled Conjugate Gradient (SCG), and Bayesian Regularization (BR) are used for training the models. The results showed that the developed GRNN smart model could obtain a superior performance providing predictions for the amount of wax deposited with a root mean squared error (RMSE) of 0.845, an average absolute percent relative error (AAPRE) of 10.36%, and a coefficient of determination (R2) of 0.975. The trend analysis indicated that increasing pour point temperature leads to a wax deposition increase. Oppositely, increasing oil °API gravity reduces wax deposition. Lately, outlier detection was carried out by applying the Leverage approach to identify the outlier data points in a data bank. It detected only 4 data points (out of 173) as outliers.

Lipases from different yeast strains: Production and application for n-3 fatty acid enrichment of tuna eyeball oil

Enrichment of n-3 polyunsaturated fatty acids (PUFA) in the glyceride fraction of skipjack tuna eyeballs oil (STEO) was investigated by using six extracellular and cell-bound lipases from three different yeast strains. Among all lipases tested, Candida rugosa extracellular lipase (Cr-ECL) showed promising enrichment of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in STEO. Firstly, various parameters including types of solvent, solvent to oil ratio, water to oil ratio, hydrolysis time, temperature, and lipase concentration were studied to select the major independent parameters. Finally, response surface methodology (RSM) was used to optimize the reaction conditions. Optimal condition included 450 U of Cr-ECL at water to oil ratio of 1:8 for 11.28 h, which resulted in 1.9-fold increase in DHA concentration in STEO. EPA was increased by 2.1-fold, when 191.35 U of Cr-ECL, water to oil ratio of 1:6 for 5.14 h was used. The Cr-ECL catalyzed hydrolysis was non-stereoselective, but had acyl chain specificity, and recognition of the whole triacyl-glycerol molecule as shown by 1H NMR and 13C NMR. Therefore, the established hydrolysis protocol for DHA and EPA enrichment was successful in converting fish oil from tuna waste to useful and healthy fish oil enriched with n-3 fatty acids. These findings pave the way for the future valorization of industrial marine waste oil.

Aircraft piston engine load distribution in steady state operating conditions

The article presents the results of analysis of operational parameters of piston engine CA 912 ULT which is a propulsion system of ultralight gyroplane Tercel produced by Aviation Artur Trendak. Research was conducted under normal operating conditions of the autogyro and data was collected from 15 independent tests including a total of 14 flight hours conducted during training flights. Engine and flight parameters were recorded at 9 Hz during each flight using on-board Fligh Data Recorded system. Collective results were presented to show the statistical analyses of the individual parameters by determining the mean values, standard deviations and histograms of the distribution of these parameters. The analyses included engine speed, charge pressure, air temperature, oil temperature and exhaust temperature. Histograms of operating points defined by both engine speed and manifold air pressure were also determined. Analyses were carried out to determine the contribution of steady-state and transient engine operation. It was also shown that the dynamics of engine work in real operating conditions is small. Detailed analyses were conducted for steady-state conditions. The value of the engine load index was determined and its statistical analyses were carried out. It was shown that the engine operating points are concentrated mainly in the range of idle and power above 50% of nominal power. The most frequent range is 50% to 80% of nominal power.

Dynamic Evolution Characteristics of the Gear Meshing Lubrication for Vehicle Transmission System

The transmission in automobiles is the core component to ensure operational stability. Heat accumulation in the meshing process will reduce the transmission efficiency and affect the service life. Here, the essential physical process to improve transmission heat dissipation is the dynamic evolution process and the thermal transfer characteristics of lubricating oil fields during gear meshing. This paper presents a modeling and solving method for gear meshing lubrication and thermal transfer features based on the volume of the fluid model and piecewise linear interface construction (VOF-PLIC). The dynamic mesh technique combines spring smoothing and reconstruction to optimize the numerical solution process. The dynamic evolution law of gear meshing lubrication and thermal transfer is obtained by analyzing the lubrication evolution process under different speed/steering conditions. The results show that the proposed modeling and solving method could well reveal the lubrication and thermal transfer laws of the gear meshing. The temperature of the gear meshing regions was higher than that in the other regions, and the lubrication temperature showed an increasing linear trend with the stirring process. As the gear speed increased, the meshing resistance moment increased, the transmission power loss increased, and the lubrication oil temperature was larger than that of the gearbox. The power loss under the clockwise rotation of the driving gear G4 was higher than that under the counterclockwise rotation of the driving gear. The relevant results can provide theoretical references for the dynamic analysis of automotive transmission lubrication and technical support for gear profile design and lubrication optimization.

Temperature-dependent particle mass emission rate during heating of edible oils and their regression models

Particulate matter emitted by heated cooking oil is hazardous to human health. To develop effective mitigation strategies, it is critical to know the amount of the emitted particles. The purpose of this research is to estimate the temperature-dependent particle mass emission rates of edible oils and to develop models for source strength based on the multiple linear regression method. First, this study examined seven commonly used oils by heating experiments. The emission rates of PM2.5 and PM10 were measured, and the effects of parameters such as oil volume and surface area on the emission rates were also analysed. Following that, the starting smoke points (Ts') and aggravating smoke points (Tss') of tested oils were determined. The results showed that oils with lower smoke points had greater emission rates. Notably, the experiments performed observed that peanut, rice, rapeseed and olive oil generated PM2.5 much faster at 240 °C (2.22, 1.50, 0.82 and 0.80 mg/s, respectively, at the highest emission conditions) than that of sunflower, soybean, and corn oil (0.15, 0.12 and 0.11 mg/s, respectively). The temperature, volume, and surface area of oils all had a significant impact on the particle mass emission rate, with oil temperature being the most influential. The regression models obtained were statistically significant (P < 0.001), with the majority of R2 values greater than 0.85. Using sunflower, soybean and corn oils, which have higher smoke points and lower emission rates, and smaller pans for cooking is therefore recommended based on our research findings.

Compositional Effect on the Low-Temperature Oxidation of Crude Oils Subjected to In Situ Combustion

This work shows the compositional effect on low-temperature oxidation of crude oils subjected to in situ combustion (ISC). Three heavy crudes were used in this study in which detailed information on the molecular species involved in ISC was obtained by ultra-high-resolution mass spectrometry. The oxidation was carried out on a mixture of 2% of crude oil in Ottawa sand in an isothermal cell using a batch system at 1500 psi at three conditions: (i) reservoir temperature of each crude oil, (ii) 180 °C, and (iii) 180 °C using a heterogeneous catalyst-type β-MnO2. The oil remaining after the reaction was extracted from the sand and characterized by FT-ICR MS using (+) atmospheric pressure photoionization and (−) electrospray ionization modes. The acidity of the oxidation products (extracts) and the composition of the produced carbon oxides were also monitored. A greater amount of carbon oxides produced, a lower extraction yield of organic matter in the sand after the reaction, and a higher acidity in the extracts, implied a higher reactivity. In the same sense, a higher reactivity was observed for the sample with the highest sulfur content and over the most aromatic compounds. The use of the catalyst at 180 °C promoted the oxidative reactions in two of three of the oils, as well as the formation of polyoxygenated acids over monocarboxylic acids for one of the oils, which implies that the application of this technology strongly depends on the composition of the oil.

Development of insulation moisture level criteria as a result of technological progress in the maintenance system of oil-filled transformers

Transformers are critical elements of electrical networks and systems. The operational reliability of oil-filled transformers largely depends on the characteristics of the insulation, which is confirmed by the failure statistics. A number of factors affecting the insulation of electrical machines are identified, including excessive moisture, with its negative consequences outlined. The complexity and shortcomings of the use of traditional technologies for drying solid insulation are indicated, which focus on the search and implementation of the latest technologies in the system of maintenance and repair of transformers — automated insulation restoration systems (AIRS).Taking into account the development of technical progress in the field of service maintenance of transformers, the negative impact of moisture on the reliability, durability and overload capacity of electrical machines, especially those beyond their normal service life, a new look at the criteria for the moisture content of cellulose insulation is proposed. A review is made of the normative requirements for the moisture content of the insulation of oil-filled transformers of a number of Russian and foreign standards. On the basis of the Oommen equilibrium curves, the shortcomings of the lack of comparability of the humidity criteria for solid and liquid insulation in STO 34.01–23.1– 001–2017 and RD 34.45–51.300–97 are presented. It is proposed to single out several areas of the operational state of transformers in terms of “moisture content of solid insulation (paper)”. The optimal period for the use of AIRS has been determined.The AIRS technology is implemented in a TRANSEC module, which enables to carry out work under load, without adversely affecting predictive diagnostics. The design features of the TRANSEC module, the principle of operation, functional and design differences from standard transformer units – thermosiphon /adsorption filters — are outlined. The results of testing the TRANSEC technology in an existing electrical installation serviced by PJSC Rosseti are presented. Six months of trial operation of the TRANSEC module demonstrated the restoration of insulation characteristics on operating equipment without additional involvement of personnel. Besides, during the testing of the TRANSEC technology, the influence of oil temperature on the information content of the assessment of solid insulation parameters was confirmed. Proposals are formulated on the revision of industry documentation in the established part.

Research on Energy Management Strategy of Range Extender Electric Vehicle considering Temperature Effect under Different Heat Demands

In order to further improve the energy utilization of the range extender electric vehicle (REEV), the energy management strategy of the REEV under different heat demands and operating temperatures is studied. Firstly, for reducing the extra fuel consumption caused by engine operating temperature, the influence of engine lubricating oil temperature on the equivalence factor is analyzed, and a novel method is proposed, which can determine the equivalence factor by three parameters, including engine temperature, operating condition type, and battery state of charge (SOC). Secondly, to reduce the influence of frequent engine start/stop on fuel consumption, a method to establish the penalty factor based on battery SOC is proposed. Finally, the engine temperature rise law under low-temperature environment and the compressor drive mode determination method under high-temperature environment are studied according to the heat demand under different ambient temperatures. An adaptive equivalent consumption minimization strategy (ECMS) considering the effect of temperature under different heat demands is proposed on the basis of the above research. The simulation under the worldwide harmonized light vehicle test cycle (WLTC) drive cycle reveals that by using the adaptive ECMS, the vehicle operating cost is reduced by 5.69% in normal temperature environment, 0.53%-2.39% in a low-temperature environment, and 0.2%-2.01% in a high-temperature environment.

Artificial neuro-fuzzy intelligent prediction of techno-economic parameters of computer-aided scale-up for palm kernel oil based biodiesel production

Palm kernel oil (PKO) is one of the promising starting materials for biodiesel production. Economic viability of large-scale biodiesel production from PKO happens to be the major challenge, as investors would like to know the overall cost-benefit value before making decisions. Therefore, this study develops artificial intelligence (AI) techno-economic models for predicting overall cost-benefit value which will provide fundamental investment decisions for potential investors. The two AI techniques used in this study were artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The input-output data for modelling was gotten from a previous work which based solely on experimental design for PKO for biodiesel production. The input variables are Methanol:oil ratio, temperature, catalyst quantity, residence time and catalyst calcination temperature, while return on investment (ROI), payback time (PBT), net present value (NPV) and production capacity (PC) are the responses. ANN and Fuzzy Logic Toolboxes in MATLAB R2013a were used for model implementation. The developed models were appraised using statistical indices such as coefficient of determination (R2) and root mean square error (RMSE). The results showed that, trimf based ANFIS models (ROI- R2: 0.9999; RMSE: 7.39 × 10−7; PBT- R2: 0.9999; RMSE: 5.32 × 10−7; NPV- R2: 0.9999; RMSE: 5.89 × 10−7; PC- R2: 0.9999; RMSE: 5.89 × 10−7) performed marginally better than ANN models (ROI- R2: 0.9496; RMSE: 0.0599; PBT- R2: 0.9945; RMSE: 0.0373; NPV- R2: 0.9957; RMSE: 0.0384; PC- R2: 0.9959; RMSE: 0.0376). Also, the relative significance of input parameters based on sensitivity analysis showed catalyst calcination temperature (CT) as the most significant input parameter. These findings show that both the ANFIS and ANN models are effective in predicting techno-economic parameters.

Study the effect of Water content and Temperature on the stability of Crude Oil/Water Emulsions.

During the crude oil production, water-in-oil stable emulsions may be created. Water which is naturally present in oil reservoirs mixes with crude oil to form very stable emulsions due to very high shear rates and zones of turbulence encountered at the wellhead and pipe of production. The formation of these emulsions is generally caused by the presence of resins, asphaltenes, wax and naphtenic acid which play the role of "natural emulsifiers. The aim of this study was to focus on some important factors in the formation and stabilize crude oil/water emulsions. These factors are the water content, which varies from oil field to another and to understand its role in the Stability of the emulsion, which vary depending on the oil fields. Another factor is the temperature at which the physicist has a role in a large non-oil emulsions Stability. The study deals with the effect of water content and temperature on the stability of crude oil emulsion. The emulsion was prepared by mixing the crude oil and desired content of water and shaking by hand. The volume percent of water were studied in this paper to the total volume of crude oil emulsion (10, 20, 30, 40, 50, 60) and temperature were (20, 30, 40, 50) OC. The results showed that, the emulsion stability decrease with increase water concentration. Change in temperature had a significant effect where the higher temperature became unstable emulsions

Numerical Analysis and Experiments on Heavy Oil Heating of Shipwrecks

Analyze the change of oil temperature flow times during the heating process of wreck heavy oil and the temperature gradient change in the radiation area of the heating source. Using the result guide the heating process of low-temperature underwater oil recovery operations on the wreck. fluid software was used for the analysis process of the numerical simulation, and the physical model test is a simulation test of low temperature underwater electromagnetic heating of heavy oil. In this way, data related to the heating process of heavy oil can be obtained. from the numerical analysis results and the physical model test results, it can be concluded that the numerical simulation results are similar to the experimental verification results. The result can be used for engineering guidance. Due to the physical properties of heavy oil, the oil temperature decays faster during the heating process and the radiation effect of heat source is small, using the electromagnetic heater heats the heavy oil in the oil tank, and the heavy oil can be heated to meet the requirements of the pumping operation in a short time. The calculation model parameters are derived from actual operations. Numerical calculations and physical test results are of great significance to engineering guidance and can guide the underwater cryogenic oil pumping operation of shipwrecks.

Development Of A Cloud-Based Condition Monitoring Scheme For Distribution Transformer Protection

Distribution transformers are a necessity to ensure a reliable power supply to consumers and their inability to function properly or even breakdown should be avoided due to the high cost of replacing them. Distribution transformers are large in numbers and randomly distributed in cities and there is a need to accurately monitor their daily/hourly performance. To achieve this, real-time monitoring of the transformer’s health status is proposed rather than the use of the traditional approach involving physical inspection and testing which is slow, tedious and time-consuming. This paper presents a cloud-based monitoring scheme applied to a prototype distribution transformer. A 10kVA, 0.415 kV prototype distribution transformer has been acquired and connected to three residences for data acquisition. A data acquisition system has been developed to monitor and record the parameters of the prototype transformer for 14 days. The parameters, monitored in real-time include load current, phase voltage, transformer oil level, ambient temperature and oil temperature. The acquired real-time data of the transformer is validated with the standard measuring instrument. An algorithm was developed to transmit and log the data to ThinkSpeak cloud server via node MCU (ESP 8266). Results obtained in this study, which can be visualized via the graphical user interface of ThinkSpeak, indicate that the proposed scheme can acquire vital data from the distribution transformers and transmit the information to the monitoring centre.

Investigation on the indoor environment during a whole cooking process under constant make-up air organization in a Chinese-style residential kitchen

A large amount of heat and particles generated from cooking have a negative impact on occupants’ thermal comfort as well as the indoor environment in the kitchen and adjacent rooms. Although heat generation rate and emission strength of particles are largely affected by oil temperature and cooking duration, there is a lack of quantification on the impact of the indoor environment during the whole cooking process. This study applies a computational fluid dynamics method to simulate air temperature, velocity and particle distribution in a kitchen and indoor environment during a 10-min and after 2-min cooking process with constant make-up air organization from window opening in a Chinese-style residential kitchen. User-defined function was defined for dynamic oil temperature and emission rate based on experimental results from previous studies and was interpreted in FLUENT for transient simulation within 12 min. Results indicate that heat spread remarkably after 30 s of oil heating. Air temperature experienced an increase of about 10.0°C around the occupant during the whole cooking process. For particle distribution, a large variation in the kitchen was observed after 4 min. Particle concentration in an indoor environment was increased dramatically after 6 min. Further studies on the transmission mechanism of heat and particles from the kitchen space to an adjacent room under different cooking scenarios are needed for the design and control of kitchen ventilation.

Permafrost degradation induced by warm-oil pipelines and analytical results of thermosyphon-based thawing mitigation

The China–Russia Crude Oil Pipeline (CRCOP) has been in operation for more than ten years, and its oil temperature has been increasing annually. Problems with ground surface subsidence and pipeline settlement were found in geological investigations along the CRCOP, indicating the risk of pipeline instability. In this study, a system was established to monitor pipeline–permafrost interactions along the CRCOP. It was found that the seasonal thawing depth (STD) of a borehole 2 m away from the horizontal line of the CRCOP reached about 11 m in 2022. Based on the on-site measured boundary, a laboratory experiment was conducted to study the evolution of the thermal regime, and to investigate the cooling effect of thermosyphons. The results indicated the consistent existence of a thaw bulb surrounding the pipeline, which was open in warm seasons but remained closed in cold seasons and expanded in three directions at different speeds. Thermosyphoning erased the thaw bulb and altered the thermal evolution of the permafrost, with a gradually decreasing STD. The results of this research can serve as a reference for thermal regime assessments of the CRCOP and thaw settlement mitigation along the CRCOP, as well as for other counterparts across the world.

Development and research of the efficiency of a tractor transmission with a disc type gearbox

BACKGROUND: Modern tractors are equipped with gearboxes that are divided into three ranges, such as slow, operating and transport, for the sake of better power usage and fuel efficiency of the engine as well as getting higher performance. In addition, gearboxes must have a large number of gears, that leads to an increase in their mass and dimensions. An increasing mass of gearbox leads to additional high-quality metal consumption as well as energy costs for self-propelling of a tractor, which reduces its operational capabilities.&#x0D; AIMS: Increasing the number of gears and reducing the weight of gearboxes for agricultural tractors.&#x0D; METHODS: A disc-type gearbox (Patent RF No. 208805) has been developed to make it possible to increase the number of gears and reduce the weight of gearboxes for agricultural tractors. The feature of this gearbox is the gear disk with three gear rims on top and three on the bottom that is installed in its housing in addition to the usual gears and shafts. The implementation of the gear disk with gear rims makes it possible to reduce the number of gearwheels by more than half. The experimental gearbox is manual and interrupted-drive. It gives 18 forward gears and 18 reverse gears. Laboratory studies of a tractor with the experimental gearbox were carried out on a roller test bench. Load condition was arranged with the STEU-40 electric brake test rig in order to determine the transmission efficiency. During the testing, the torques on the gearbox input shaft and the tractor half shafts were measured. Reliability testing of the experimental gearbox, built in the LTZ-55 tractor, lasted for 2714 hours under the normal operation condition.&#x0D; RESULTS: The results of the transmission efficiency study at the 1st, 5th and 10th gears with different drive wheels torques as well as different oil temperatures revealed that the transmission efficiency is in the range of 0.75-0.96 at the transmission oil temperature of 16 to 60C, which corresponds to the numerical values of fixed-ratio transmissions of stock tractors. Operational tests of the tractor, equipped with the experimental gearbox, showed efficiency of gearbox during operation of 2714 hours.&#x0D; CONCLUSIONS: Laboratory studies of the LTZ-55 tractor, equipped with the experimental gearbox (Patent No. 208805), showed that the transmission efficiency improves with an increase in the drive wheels torque and the transmission oil temperature, and deteriorates with an increase in the gear number. The efficiency of the experimental transmission is in the range from 0.75 to 0.96, which corresponds to stock manual interrupted-drive transmissions of tractors. With an increase in oil temperature up to 60 C, the efficiency of the transmission greatens.

Feasibility Test of Transformer Insulating Oil Lifetime Based on Breakdown Voltage (bdv) and Furan Analysis

Optimization of transformer performance in distributing electrical energy is determining by transformer insulating oilquality. Insulating oil temperature increases with the great of transformer workload released during the distributionof electric power to consumers. Then, it will be affected to the breakdown voltage (BDV) value and oil quality whichcan even lead to the insulating oil failure. This research is carried out by taking a sampling of new deck oil and usedoil at different temperatures. Then insulating oil is tested by using BDV test and Dissolved Gas Analysis (DGA) todetermining furan value and workability of insulating oil lifetime. Thus, this research expected to identify the feasibilityof transformer insulating oil lifetime based on breakdown voltage and furan value.

Review on monitoring of transformer insulation oil using optical fiber sensors

Power transformers are critical components of power system networks. Failure of this equipment risks the entire system, resulting in power outages and income losses. The reliability of this device is generally determined by its insulating quality. Hence, it is essential to check the transformer's insulation oil condition regularly. Traditional test techniques for assessing the condition of power transformers insulation oil have several drawbacks. Optical fiber-based sensors for monitoring transformer oil conditions have been designed to address such issues. This paper presents a brief review of optical fiber sensors for measuring oil level, oil aging assessment, moisture content and temperature in transformer oil. This review shall be of benefit to both engineers and researchers who are doing research in this field.

The Content and Emission form of Volatile Organic Compounds from Cooking Oils: A Gas Chromatography-Mass Spectrometry (GC-MS) Analysis.

Cooking oil fumes are full of dangerous chemicals that are bad for human health. Volatile organic compounds (VOCs) in cooking oil fumes are not only emitted in the form of gas but may also accumulate with other substances in oil fumes and form particulate matter emitted into the atmosphere. Different forms of VOCs can enter different regions of the human body and have varying effects on health. This paper investigated the VOC emission types found in some cooking fumes. The findings demonstrate that organic contaminants from edible oils were released as gas and particle matter, with gas being the predominant component. The fraction of gaseous VOCs steadily declined as oil temperature rose, whereas the proportion of VOCs released as particulate matter gradually rose. It is possible to assume that the increase in oil fume with temperature was caused by the original oil's components volatilizing more frequently under the influence of vapor pressure and that chemical reactions were not the primary cause of oil fume creation.

Study on the influence of various factors on block vibration

The influence of engine speed, torque, oil temperature, and piston liner clearance on the block vibration was studied with experimental test and wavelet packet decomposition method (WPD). The wavelet packet function of db10 and decomposition level of four was confirmed based on the Shannon entropy. The frequency analysis of the block vibration measured at motor-driven condition showed that the spectrum energy was mainly concentrated in the range of 4–5, 10–15, and 20–25 kHz. The energy of each frequency band obtained from WPD was contrasted at different engine speed, torque, oil temperature, and piston-liner clearance conditions. On this basis, the interaction between different factors was further investigated. The sensitive frequency band of block vibration was confirmed for different factors.

A novel triple responsive smart fluid for tight oil fracturing-oil expulsion integration

The traditional multi-process to enhance tight oil recovery based on fracturing and huff-n-puff has obvious deficiencies, such as low recovery efficiency, rapid production decline, high cost, and complexity, etc. Therefore, a new technology, the so-called fracturing-oil expulsion integration, which does not need flowback after fracturing while making full use of the fracturing energy and gel breaking fluids, are needed to enable efficient exploitation of tight oil. A novel triple-responsive smart fluid based on “pseudo-Gemini” zwitterionic viscoelastic surfactant (VES) consisting of N-erucylamidopropyl-N,N-dimethyl-3-ammonio-2-hydroxy-1-propane-sulfonate (EHSB), N,N,N′,N′-tetramethyl-1,3-propanediamine (TMEDA) and sodium p-toluenesulfonate (NaPts), is developed. Then, the rheology of smart fluid is systematically studied at varying conditions (CO2, temperature and pressure). Moreover, the mechanism of triple-response is discussed in detail. Finally, a series of fracturing and spontaneous imbibition performances are systematically investigated. The smart fluid shows excellent CO2-, thermal-, and pressure-triple responsive behavior. It can meet the technical requirement of tight oil fracturing construction at 140 °C in the presence of 3.5 MPa CO2. The gel breaking fluid shows excellent spontaneous imbibition oil expulsion (∼40%), salt resistance (1.2 × 104 mg/L Na+), temperature resistance (140 °C) and aging stability (30 days).