3002 results about "Crude oil" patented technology

The invention relates to the field of supply chain management and optimization, in particular to a crude oil supply chain management method and system, and the method comprises the steps: constructing a supply chain dynamic model through multi-modal data fusion and causal analysis; real-time data and prediction data are generated based on a digital twinning technology, and cross-node association scenes and extreme climate conditions are simulated; a transportation path, an inventory allocation strategy and a delivery sequence are dynamically optimized through a multi-objective optimization algorithm and a flexible emergency adjustment module; an optimization scheme is automatically executed by using an intelligent contract system, feedback adjustment data and improved scheme data are generated based on real-time feedback, and closed-loop optimization is realized. The dynamic adaptive capacity of the crude oil supply chain in a complex environment is effectively improved, the cost, the inventory turnover rate and the delivery efficiency are optimized, and meanwhile the robustness and the emergency response capacity of the system are enhanced.

The invention provides a high-temperature-resistant and high-salt-resistant nano imbibition agent as well as a preparation method and application thereof. The high-temperature-resistant and high-salt-resistant nano imbibition agent is prepared from amination modified mesoporous silica nanoparticles, nano cellulose, rhamnolipid, an anionic surfactant, citrate modified sodium zirconium phosphate, polyethylene glycol-b-polycaprolactone and a sulfydryl-carboxyl imidazoline derivative, therefore, the composite carrier formed by the aminated mesoporous silica nanoparticles and the nanocellulose has high mechanical strength and uniform dispersity, the oil-water interfacial tension is reduced through the synergistic effect of the rhamnolipid and the anionic surfactant, and the crude oil stripping efficiency is remarkably improved; the citrate modified sodium zirconium phosphate enables the salt resistance of the system to be greatly improved, and in a high-temperature and high-salt oil reservoir environment, the nano imbibition agent can remarkably improve the crude oil recovery rate and reduce the injection pressure and dosage; meanwhile, good adsorption resistance is achieved, and reservoir blockage is prevented; in addition, low-toxicity corrosion inhibition components protect equipment, and the service life of an oil well is prolonged.

The invention discloses a pressure pipeline-oriented crude oil storage and transportation safety state dynamic monitoring method, and belongs to the field of pressure pipeline engineering safety monitoring, and the method comprises the steps: obtaining multi-modal sensing data collected by a plurality of sensor nodes; performing signal space-time fusion processing on the multi-modal sensing data to generate environment interference compensation parameters; constructing a dynamic compensation model based on the environmental interference compensation parameters, and outputting a pipeline body damage feature vector and a medium state feature vector; carrying out migration enhancement analysis on the pipeline body damage feature vector and the medium state feature vector to generate a migration enhancement feature vector; and generating a corresponding safety early warning signal according to a comparison result of the migration enhancement feature vector and a preset dynamic threshold parameter. According to the invention, a multi-sensor space-time fusion and migration enhancement analysis technology is adopted, real damage signals can be accurately identified, and dynamic threshold early warning can be realized.

The invention discloses a preparation method and application of a pH-responsive controllable oil-water separation material, polyurethane sponge is used as a substrate, polypyrrole is attached to the sponge substrate through an in-situ polymerization method, a pH-responsive polymer is introduced into the sponge substrate through a soaking method, and finally the pH-responsive controllable oil-water separation material is obtained. The controllability of the material in the oil-water separation process is reflected as follows: due to the introduction of the pH responsive polymer, the surface of the material has pH responsiveness, the surface of the material has different wettability by adjusting the pH value, different types of oil-water mixtures can be controllably separated in a targeted manner, and the adsorption and desorption of oil products can be realized. Due to the introduction of polypyrrole, the material has good photo-thermal conversion capacity, the viscosity of crude oil can be effectively reduced, and the absorption rate of the crude oil can be improved. The material with pH responsiveness has wide application prospects in the fields of oil-water separation, oil product adsorption and desorption and crude oil absorption.

The invention belongs to the technical field of petroleum machinery, and particularly relates to a combined type polish rod breakage blowout prevention wellhead device which comprises a valve body, a horizontally symmetrical penetrating cavity is formed in the valve body, the two ends of the cavity are blocked and fixed through glands, and a vertically-penetrating annular channel is further formed in the valve body and allows an oil pumping polish rod to pass through. Two gate plates are further symmetrically arranged in the valve body corresponding to the horizontally-symmetrical penetrating cavity, a rib plate is arranged on one side of the cover plate, and a right-angle rubber base is fixedly connected between the gate plates and the rib plate through bolts. The device can be automatically triggered after the oil pumping polish rod is broken and disengaged, a blowout channel is rapidly sealed, oil well back pressure spraying is prevented, environment pollution caused by crude oil spraying is avoided, and the device has the function of guaranteeing sealing between a wellhead device and the oil pumping polish rod during normal production of a rod-pumped well. And the wellhead device can be isolated from the shaft when the packing is maintained and replaced by the oil extraction system of the pumping unit.

The invention belongs to the technical field of crude oil electric heating furnaces, and relates to a crude oil electric heating furnace control system and a crude oil electric heating furnace. Temperature feature vectors of multiple independent heating sections are collected, a dynamic weight matrix used for representing the thermal inertia unbalance degree is generated, and temperature control compensation gains are generated through real-time analysis in combination with crude oil viscosity-temperature data; performing adaptive adjustment by combining corresponding element values of the dynamic weight matrix to output a segmented power regulation instruction, preferentially calling redundant power of the main and auxiliary coils for cooperative heating, starting adjacent segment compensation heating when the main and auxiliary power is insufficient, and setting heat balance constraint and deviation monitoring termination conditions at the same time; local over-coking is avoided while the power resource utilization rate of the crude oil electric heating furnace is remarkably improved, the viscosity is rapidly converged to a steady-state range through closed-loop feedback of viscosity data after heating and iterative optimization of a regulation instruction, and the stability of long-term operation of the system and the achievement speed of a control target are remarkably improved.

The invention relates to an AIS data-based port ship unloading area analysis method. The method comprises the following steps of: 1, preprocessing AIS data, namely carrying out cleaning screening and attribute supplementation on original data; 2, ship staying leg extraction: defining a staying leg by using motion features and expressing the staying leg by using a Geohash grid; step 3, port destination text matching: matching irregular destinations with standard port names; 4, bidirectional destination retrieval: analyzing an accurate destination by using a ship trajectory, and determining an affiliation port of a staying grid; and 5, grid integration and route cutting: integrating grids belonging to different ports to obtain an unloading area, and cutting a whole-cycle route of the ship. According to the method, the problems of complex unloading mode and complex route staggering around a port are solved, and reliable technical support is provided for trade monitoring of bulk energy goods such as crude oil by utilizing the complementary advantages of time-space information and destination texts in AIS data.

The invention relates to the technical field of petrochemical engineering, in particular to a method and equipment for predicting the yield of crude oil cut distillate oil, a medium and a product. According to the method, near infrared spectrum data of to-be-predicted crude oil is obtained, a corresponding key spectrum variable is determined, the key spectrum variable is input into a target prediction model corresponding to the type of the to-be-predicted crude oil, and the cut distillate yield output by the model is obtained. Thus, interference of other parameters on prediction accuracy is reduced through the key spectral variables with high correlation degree with the cut distillate yield, and the exclusive prediction model is constructed for different types of crude oil, so that interference of heterogeneity between crude oil types on prediction accuracy is reduced, the adaptability of the prediction model to different crude oil characteristic changes is improved, and the prediction accuracy is improved. Therefore, the prediction model can rapidly and accurately predict the yield of the cut distillate oil of the crude oil, and the prediction accuracy and prediction efficiency of the yield of the cut distillate oil are improved.

A geothermally powered petrochemical refining system includes a geothermal system with a wellbore extending from a surface into an underground magma reservoir. A geothermally powered fractional distillation system receives crude oil and produces distillates which are separated by molecular weight. The distillates may be provided to a geothermally powered cracking system that is heated by a heat transfer fluid heated by the geothermal system to crack heavy hydrocarbons into lighter ones. The distillates may be provided to a geothermally powered reforming system that is heated by a heat transfer fluid heated by the geothermal system to reform hydrocarbons into different structures.

The invention relates to the technical field of data detection, in particular to a three-dimensional multi-parameter real-time monitoring system and method for a floating roof of a crude oil storage tank. The multi-mode sensor array is arranged on the surface of a floating roof and the inner wall of a storage tank and used for collecting displacement, deformation, pressure and environmental parameters of the floating roof in real time; the data acquisition and preprocessing module is connected with the sensor array and is used for signal conditioning, analog-to-digital conversion and noise suppression; the edge calculation unit is deployed on a storage tank site and used for processing sensor data in real time and executing initial analysis; the three-dimensional dynamic modeling module is used for constructing a floating roof three-dimensional attitude model based on multi-source sensor data; the cloud analysis platform is connected with the edge computing unit through the industrial Internet of Things and is used for deep data analysis and early warning decision making; according to the scheme, the technical problems of insufficient parameter coverage, difficult data fusion, one-sided state evaluation and the like can be solved.

The invention provides an amphiphilic carbon dot, a carbon nanofluid and application of the amphiphilic carbon dot and the carbon nanofluid, and belongs to the technical field of nanomaterial oil displacement, and the amphiphilic carbon dot is prepared by taking alkylphenol polyoxyethylene ether and glucose as raw materials to perform solvothermal reaction; the alkylphenol polyoxyethylene ether comprises octylphenol polyoxyethylene ether and / or nonylphenol polyoxyethylene ether; the mass ratio of the alkylphenol polyoxyethylene ether to the glucose is 1: (0.1-2). According to the invention, alkylphenol polyoxyethylene ether and glucose are taken as raw materials, and simple preparation of the amphiphilic carbon dots with high surface and interface activity is realized. The amphiphilic carbon dots provided by the invention show good surface and interface activity at high temperature and high salinity. According to the carbon nanofluid provided by the invention, the amphiphilic carbon dots and the zwitterionic surfactant are compounded, so that the stability of a carbon nanofluid oil displacement system at high temperature and high salt can be further improved, the crude oil recovery rate is increased, and efficient yield-increasing development of high-temperature and high-salt deep oil reservoirs is realized.

The invention discloses an industrial process online prediction model construction method based on self-attention manifold learning, which is suitable for measuring phase or pulse characteristics, and is characterized in that an initial data manifold is constructed on the basis of an information entropy weight theory, and a self-attention mechanism and a residual error correction algorithm are introduced; and synchronous optimization of weight distribution and embedding mapping is realized through loop iteration, so that a self-adaptive multi-entropy weight manifold embedding prediction model capable of deeply mining data time sequence characteristics is constructed. The effectiveness of the method is verified through a preferable embodiment, specifically, the method is applied to processing pulse nuclear magnetic resonance relaxation spectrum data, and real-time and high-precision online prediction of the wax content in a crude oil sample is successfully achieved. According to the method, the prediction precision and robustness are remarkably improved.

According to the deep and far seawater suspension oil and liquid storage device and the underwater oil storage method thereof, a layered tank body structure is adopted, and a load adjusting cabin, a flexible oil storage cabin and a water storage cabin are arranged from top to bottom. The load adjusting cabin is used for dynamically adjusting the net buoyancy of the device through seawater feeding / discharging to reduce the load of the mooring system; the oil storage cabin adopts a flexible storage bag to adapt to volume change and is linked with the water storage cabin through a movable composite heat preservation partition plate, the partition plate comprises an active heating layer and a phase change material layer, when the oil temperature is too low, the active heating layer directionally heats crude oil, the phase change layer absorbs dissipated heat, latent heat is released during external low-temperature impact to buffer temperature drop, and dynamic temperature control is achieved. The device is moored and fixed through a gravity anchor, and multiple types of sensors are arranged to monitor the posture, stress, oil temperature and leakage state of the tank body in real time. The problems of oil storage tank deformation, high pour point oil heat preservation and mooring stability under the deepwater high-pressure environment are solved, and the device has the advantages of being low in construction cost, high in environmental adaptability and efficient in operation and maintenance and is suitable for safe storage and transportation of deep and far sea oil and gas resources.

The invention relates to the technical field of micro-nano motors, in particular to a preparation method and application of a micro-nano motor for improving oil reservoir exploitation. Due to the wheel shape of the micro-nano motor and the hydrophobic modification effect, the micro-nano motor can move in a high-viscosity oil reservoir environment in oil reservoir exploitation. Under the action of a magnetic field, the micro-nano motor can controllably move in a complex three-dimensional core environment, and the size of the micro-nano motor can be reduced when the micro-nano motor encounters a narrower pore throat, so that the micro-nano motor can smoothly pass through the pore throat. When the micro-nano motor makes contact with crude oil drops, the micro-nano motor can carry the oil drops to move and carry the oil drops to a high-permeability area of the oil reservoir, and the motor carrying the oil drops is extracted to the ground along with displacement fluid, so that the recovery rate of the oil reservoir is increased. Meanwhile, the micro-nano motor can be recycled for multiple times.

A method to perform oil in produced water analysis allows measuring the large volume of oil in produced water reliably. In the method, a time-series and physics based machine learning model of a gas oil separation plant is generated, advisory actionable items for maintaining a crude oil quality within a pre-determined threshold are generated based on machine learning model coefficients and outputs of soft sensors, and then the advisory actionable items are presented to a user.

The invention relates to the technical field of oil-gas field development and geothermal energy utilization. The invention provides an underground high-temperature composite fluid heating system, which comprises a crude oil separation device, a catalysis module, a high-temperature fluid generation module, an injection well pattern module, a target reservoir and a production well, and is characterized in that the crude oil separation device is communicated with the catalysis module through a first gas inlet pipeline and a second gas inlet pipeline; a first gas outlet pipeline and a second gas outlet pipeline are communicated with a high-temperature fluid generation module, the high-temperature fluid generation module is communicated with an injection well pattern module through a third gas outlet pipeline, the injection well pattern module is communicated with a target reservoir, and the target reservoir supplies energy to the outside through a fourth gas outlet pipeline. And the production well conveys the energy-supplied gas to the heat energy recovery device through the first recovery pipeline. In this way, efficient and uniform heating of the underground reservoir is achieved, energy consumption is reduced while the energy recovery efficiency is improved, and the problems of low heat conduction efficiency and high energy consumption in deep oil gas and hot dry rock development are solved.

The invention relates to the technical field of grain and oil processing, in particular to a flaxseed microwave-assisted wall breaking and nitrogen protection cold pressing process. The method comprises the following steps: putting flaxseeds into a microwave bin, carrying out intermittent microwave treatment, and carrying out blank rolling treatment on the flaxseeds by adopting a double-helix blank rolling mill to obtain crude oil; and after degumming, deacidifying, decolorizing and deodorizing the crude oil, filtering the crude oil to obtain refined oil. According to the method, the flaxseed cell wall rupture rate is increased through microwave pretreatment, more grease can be released, the grease flow resistance can be reduced, the released grease can be rapidly separated from a fiber network and resorption is reduced through a nitrogen-assisted pressing mode, and after first-time cold pressing, oil cakes are subjected to secondary microwave treatment, so that the flaxseed oil yield is improved. The method can further destroy residual cell structures, and can prevent oil cake hardening caused by oxidation under the protection of nitrogen, so that the oil yield during secondary repressing is increased.

The invention discloses an atmospheric and vacuum distillation unit intelligent optimization method and system based on deep reinforcement learning, and relates to the field of oil refining and chemical engineering, and the method comprises the steps: collecting historical operation data from a distributed control unit and a real-time database of an atmospheric and vacuum distillation unit, and carrying out the preprocessing, and obtaining a preprocessed historical data set; constructing a process mechanism feature network through a graph neural network by using the preprocessed historical data set, mining an association relationship among equipment parts, extracting abstract features representing a process principle, and constructing a digital twin environment; in a digital twin environment, a meta-reinforcement learning algorithm is adopted to train a deep reinforcement learning agent, so that the deep reinforcement learning agent obtains meta-strategies adapted to different crude oil properties. According to the method, safe, stable and efficient intelligent optimization control is realized through a closed-loop operation mechanism of safe mirror image drilling and credibility driving, and the problem of optimization response lag caused by manual model adjustment due to crude oil property change in a traditional optimization technology is solved.

The invention is applicable to the technical field of crude oil heating, and provides skid-mounted equipment for heating crude oil at a well group site, the skid-mounted equipment comprises a base, a control box, a crude oil heat exchange tank and a heating tank, a heat exchange coil is arranged in the crude oil heat exchange tank, the heating tank is communicated with the heat exchange coil, fixing frames are fixed on two sides of the base, and two supporting rods are hinged in the fixing frames; rollers are installed at the bottoms of the supporting rods, sliding sleeves sleeve the supporting rods, a lead screw is rotationally installed on the fixing frame, push rods are hinged to the two ends of the lead screw through outer sleeves, and the ends, away from the outer sleeves, of the push rods are hinged to the sliding sleeves; a worm gear is fixed to the middle of the lead screw, and a worm meshed with the worm gear penetrates through the fixing frame. Accurate control and constant-temperature maintenance of the temperature of the crude oil are achieved, the high-condensation-point crude oil is effectively prevented from being solidified in the conveying and storage process, and the flowing smoothness of the crude oil is guaranteed. By accurately controlling the temperature of crude oil, accumulation of sediments at the bottom of the storage tank due to too low temperature is prevented, and the cleaning workload and downtime are reduced.

The invention discloses an oil gas volatilization concentration monitoring device and monitoring system of a crude oil storage tank, the monitoring device comprises an oil tank body, a body mechanism, a probe cleaning mechanism, a heat dissipation mechanism and a driving mechanism, the oil tank body is internally provided with a floating plate; the body mechanism comprises an oil gas monitoring probe installed on a floating plate, an installation sleeve is installed on the floating plate in a penetrating mode, and the oil gas monitoring probe is installed in the installation sleeve in a coaxial mode. The probe cleaning mechanism is arranged, scraping plates are arranged on the periphery and the bottom of the side wall of the probe respectively, condensation layers on the side wall and the bottom of the probe are scraped and cleaned when the scraping plates rotate, and meanwhile the scraping plates can spray dry nitrogen to the surface of the probe through a purging assembly; therefore, on-line cleaning of a condensation layer on the surface of the probe is achieved in a scraping and purging combined mode, the probe can monitor the volatilization concentration of oil gas in an oil tank in real time, leakage and explosion risks are prevented, and the safety of the oil tank is ensured.

The invention relates to a high-temperature-resistant and high-salt-resistant carbon dot-hydrogel blocking agent and a preparation method and application thereof.The preparation method comprises the following steps that a reaction monomer, an initiator, an organic cross-linking agent and an inorganic cross-linking agent are added into water to be evenly mixed, and a precursor mixed solution is obtained; adding a polysaccharide polymer into the precursor mixed solution, and stirring and dissolving to obtain a hydrogel prepolymer; polymerizing and partially hydrolyzing the hydrogel prepolymer to obtain partially hydrolyzed interpenetrating network hydrogel; the partially hydrolyzed interpenetrating network hydrogel is carbonized at the constant temperature of 50-70 DEG C to form carbon dots, and the carbon dot-hydrogel blocking agent is obtained. The prepared carbon dot-hydrogel has the advantages that synthesis is green, raw materials are easy to obtain, and toxic reagents do not need to be introduced; the nano enhancement effect of the carbon dots and the physical entanglement effect of the polysaccharide polymer enable the obtained hydrogel to have high toughness and compression strength after high salinity and high-temperature aging, and the hydrogel can be used for profile control and water shutoff of high-temperature and high-salinity oil reservoirs so as to improve the recovery rate of crude oil.

The invention discloses a combined phenol-primary polyamidoamine phenol-amine resin nonionic demulsifier and a preparation method thereof.The preparation method comprises the steps that phenol M and primary polyamidoamine are mixed, a formaldehyde solution is dropwise added, a reaction product is diluted with methyl alcohol, and phenol M-primary polyamidoamine resin slurry is obtained; the preparation method comprises the following steps: mixing organic phenol N and formaldehyde, reacting under the catalysis of sodium hydroxide, and diluting a product with methanol to obtain phenol N phenolic resin slurry; dropwise adding the phenol N phenolic resin slurry into the phenol M-primary polyamidoamine resin slurry, reacting, refluxing to remove methanol and water to obtain combined phenol-primary polyamidoamine resin, and polymerizing the combined phenol (M-N)-primary polyamidoamine resin with epoxypropane and ethylene oxide in sequence under the catalysis of alkali metal hydroxide to generate R-PO-EO diblock demulsifier polyether. And cross-linking with a cross-linking agent to obtain the finished demulsifier. The demulsifier prepared by the invention has the characteristics of high dehydration speed and high final dehydration rate for thick oil emulsion in the Bohai Sea region, and especially can effectively reduce an emulsion layer of output crude oil for thick oil output liquid in a high-water-content exploitation period.

The invention discloses a preparation method for simultaneously and efficiently extracting crocodile polypeptide and crocodile oil, and relates to the technical field of biological extraction, crocodile meat is used as a raw material, and heating micro-pressure treatment is sequentially performed to promote component dissolution; a multi-stage enzymolysis process is adopted, alkaline protease, neutral protease and lipase are sequentially used, and a calcium phosphate system is used for assisting filtration and a natural antioxidant is added in a gradient manner in the enzymolysis process; performing plate frame filtration and standing layering subsequently to realize crude separation of the oil peptide; finally, the crocodile polypeptide liquid is subjected to multi-stage membrane filtration and spray drying, the crocodile crude oil is subjected to ultrasonic-assisted fishy smell removal, ceramic membrane fine filtration and gradient cooling phase change refining, and after enzymolysis treatment and before filtration, a composite additive is added into enzymatic hydrolysate and stirred. No organic solvent exists in the whole process, and the product yield, purity and oxidation stability are remarkably improved.

The invention relates to a pour point depressing paraffin inhibitor and a preparation method thereof. The pour point depressing paraffin inhibitor is prepared from the following raw material components: graphene oxide, acrylic acid, a dispersing agent, a catalyst and a solvent, wherein the content of the graphene oxide is 4%-14.5% by mass, the content of the acrylic acid is 38%-76% by mass, the content of the dispersing agent is 4%-6% by mass, and the content of the catalyst is 1%-2% by mass. The graphene oxide is introduced into the pour-point depressing paraffin inhibitor provided by the invention, the size nanocrystallization is easy to prevent the formation of wax crystals in crude oil, the pour-point depressing effect is good, and the crude oil is conveniently exploited from a shaft and transported by a crude oil pipeline.

The present invention belongs to the technical field of oil and gas exploration and development. Disclosed are a nuclear-magnetic-resonance-based method and system for characterizing the degree of miscibility of CO2 flooding. The method comprises: on the basis of a slim tube method, testing the minimum miscible pressure of crude oil of a target oil reservoir and CO2 (S101); on the basis of the minimum miscible pressure, conducting CO2 oil displacement experiments using cylindrical cores, collecting, in real time, two-dimensional weighted nuclear magnetic resonance images and multi-component T2 spectra of a fluid in the cores varying over time and space, synchronously collecting an outlet-end fluid, and conducting a chromatographic test to obtain chromatographic test data (S102); and on the basis of the two-dimensional weighted nuclear magnetic resonance images, the multi-component T2 spectra and the chromatographic test data, performing dynamically-changing qualitative and quantitative characterization on the degree of miscibility, so as to obtain qualitative and quantitative characterization results of the degree of miscibility of CO2 and the crude oil (S103).

The invention relates to the technical field of cleaning agents, in particular to a water-based oil stain cleaning agent and a preparation method and application thereof. The homogeneous-phase stable water-based cleaning agent is formed by taking water as a main component and a special additive as a core complex liquid and matching with terpenoids, alcohol ether and a biodegradable surfactant, the cleaning agent is harmless to skin (pH value is 6.5-9.5), LD50 (rat oral) is greater than 17000mg / kg, the cleaning agent is not inflammable and explosive, and the cleaning agent is free of toxic and side effects. And the cleaning agent has quick and efficient cleaning power on various product oils, crude oils, various adhesives and waxiness.

The invention provides a well-station-oil depot coupling simulation-based crude oil coagulation risk optimization method, which comprises the following steps of: firstly, designing a well-station-oil depot pipe network system topological structure, analyzing a pipe network structure, and numbering wells, stations, oil depots and pipelines to obtain the numbers of an upstream pipeline and a downstream pipeline of each pipeline; then, a well-station-oil depot pipe network system is disassembled into a node + pipeline form, each pipeline is dispersed into a plurality of calculation units, and the pipe section length, diameter and dip angle of each calculation unit are obtained; according to the fluid temperature of each wellhead, the fluid entering pressure of each station and a PVT physical property table, assuming the temperature and pressure of all nodes to obtain the average temperature and pressure of each pipe section; and calculating crude oil physical property parameters, crude oil flow parameters, pressure drop and temperature drop parameters of each pipe section by adopting an iterative method to obtain pressure and temperature of all nodes, and finally judging the pipe condensation risk according to the physical property parameters and the pipeline pressure and temperature. The pipe condensation risk can be automatically judged, and the production efficiency and safety are improved.

The invention discloses an intelligent control method and system for dynamic balance of three floating bodies for crude oil transfer in deep and far sea. The method comprises the following steps: (1) data acquisition and state vector construction; (2) constructing a dynamic response prediction model: constructing a floating body historical motion database based on the initial motion data set, fusing hydrodynamic interference coefficient matrix calculation and multi-body motion mixed constraint analysis, and designing a space-time prediction algorithm based on a graph neural network and a recurrent nerve process to obtain a dynamic response prediction model; establishing a dynamic response prediction model under close-range coupling interference of the three floating bodies; (3) evaluating and correcting data confidence; (4) self-adaptive thrust control and early warning are carried out; and (5) visual monitoring and log management. The problems that in the prior art, positioning precision is low, response lags behind, the abnormal rate of sensor data is high, hydrodynamic coupling interference is not fully considered, and visual monitoring and intelligent early warning are lacked are solved, and the safety, stability and operation efficiency of the deep and far sea crude oil transfer process are effectively improved.

The invention discloses a shale oil carbon dioxide huff and puff graded pressure drop mining experiment method. The method comprises the following steps that S1, the crude oil recovery degrees under different huff and puff experiment requirements are obtained through experiments; the method is suitable for the technical field of oil and gas field development, the CO2 utilization rate and the recovery percentage of each stage in the shale oil carbon dioxide huff and puff graded pressure drop exploitation process can be accurately measured, a database is established in combination with influence factors of different injection conditions, and the reliability of the shale oil carbon dioxide huff and puff graded pressure drop exploitation process is improved. And on the basis of experimental results, weight analysis of shale oil carbon dioxide huff and puff graded pressure drop mining is carried out on each factor, so that main influence factors of shale oil carbon dioxide huff and puff graded pressure drop mining can be screened out, which is of great significance to subsequent shale oil carbon dioxide huff and puff mining adjustment.

The embodiment of the invention provides a surfactant synergistic flooding parameter optimization method based on core scale simulation, and the method comprises the steps: selecting a real core sample of a target oil reservoir, carrying out the preprocessing of the real core sample, and constructing a three-dimensional digital core model of the target oil reservoir; selecting a surfactant according to reservoir characteristics of the target oil reservoir; according to the synergistic flooding characteristic and the oil-water two-phase flow characteristic of the surfactant in the pore medium of the target oil reservoir, a surfactant synergistic flooding model under the rock core scale is established; carrying out iterative solution on the synergistic flooding model through parallel calculation to realize dynamic simulation of the synergistic flooding process under the rock core scale, and outputting distribution data of a pressure field, a fluid saturation field and a surfactant concentration field in the three-dimensional digital rock core model; and according to the distribution data, determining a target parameter combination for synergistic flooding of the surfactant. The effect of improving the use degree of crude oil is achieved.