1529 results about "Crude oil" patented technology

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 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 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 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.

The invention relates to a method for decoupling organic matter primary-secondary cracking hydrocarbon generation conversion rate based on a gold tube hydrocarbon generation thermal simulation experiment. The method comprises the following steps: step 1, acquiring kerogen gold tube hydrocarbon generation thermal simulation experiment data; step 2, parametric modeling of the kerogen hydrocarbon generation process; step 3, constructing a least square target model under a multi-constraint condition; step 4, performing nonlinear least square optimization solution under the constraint condition; and 5, calculating the hydrocarbon generation conversion rate. According to the method, conversion rate calculation is carried out on the cumulant of each hydrocarbon generation process obtained through decoupling, the conversion rate evolution rule of the kerogen oil generation, gas generation, crude oil cracking gas generation, non-reactive carbon formation and other processes along with maturity change in the crude oil cracking process can be obtained, and a quantitative basis is provided for refined hydrocarbon generation evaluation.

The invention relates to the technical field of crude oil decalcification, in particular to a low-corrosivity crude oil decalcification agent and a preparation method thereof. The low-corrosivity crude oil decalcifying agent is prepared from the following raw materials: acetic acid, citric acid, modified chitosan, ethanol and deionized water, wherein the modified chitosan is prepared by synthesizing N-hydroxyacrylamide, performing sulfonation treatment, and grafting poly (N-isopropylacrylamide) with carboxymethyl chitosan. The preparation method comprises the following steps: adding deionized water and modified chitosan into a blending kettle, heating to 65-75 DEG C, stirring, sequentially adding acetic acid and citric acid, continuously stirring, finally adding ethanol, stirring, and cooling to obtain the decalcifying agent. The decalcifying agent can efficiently remove organic calcium, equipment corrosion is reduced through temperature-sensitive film forming, chelate is stable at high temperature, sewage COD is low, the decalcifying agent adapts to an existing electro-desalting process, and industrial application is easy.

The invention relates to a port crude oil unloading speed regulation and control prediction method based on physical constraints, and belongs to the technical field of crude oil storage and transportation automation control, and the method comprises the following steps: S1, constructing a coupling equation of pipeline outlet pressure from an oil transfer arm to a reservoir area and storage tank flow speed; s2, constructing a physical constraint neural network model; s3, constructing a loss function formula of the physical constraint neural network model based on the coupling equation; and S4, performing adaptive training on the physical constraint neural network model based on historical data, and updating network parameters of the model. According to the method, the physical law of pipeline fluid movement is fused into the loss function in the form of constraint conditions in the model training stage, the degree of dependence of the model on the pure data sample size is remarkably reduced, and accurate regulation and control of the oil discharge rate under the complex working condition are achieved.

The invention relates to a method for decoupling organic matter primary-secondary cracking hydrocarbon generation conversion rate based on gold tube hydrocarbon generation thermal simulation-solid product pyrolysis experiment. The method comprises the following steps: step 1, kerogen gold tube hydrocarbon generation simulation and solid product rock pyrolysis experiment data acquisition; step 2, parametric modeling of the kerogen hydrocarbon generation process; step 3, constructing a least square model of multi-source experimental information collaborative constraint; 4, carrying out optimization solution under a multi-source experiment information collaborative constraint condition; and 5, calculating the hydrocarbon generation conversion rate. According to the method, conversion rate evolution characteristics of each hydrocarbon generation process are quantitatively represented, conversion rate calculation is performed on cumulant of each hydrocarbon generation process obtained through decoupling, and conversion rate evolution rules of kerogen oil generation, kerogen gas generation, crude oil cracking gas generation, non-reactive carbon formation and other processes along with maturity changes in the crude oil cracking process can be obtained; and a quantitative basis is provided for refined hydrocarbon generation evaluation.

The invention provides a method and a device for measuring the solid-phase deposition amount of crude oil under high-temperature and high-pressure conditions, and relates to the technical field of oil-gas field development. Under the reservoir temperature and pressure of a target oil reservoir, ground degassed crude oil, associated gas and an on-site solid-phase sediment sample are mixed and dissolved; an in-situ crude oil sample capable of truly reflecting in-situ crude oil components is prepared; then, reducing the pressure to a target pressure point in a stepped manner at a constant temperature, and delimiting a deposition monitoring area; spectral image data of the area is obtained, spectral reflection reference rate is analyzed and calculated pixel by pixel, and a spectral distribution matrix is constructed; judging whether the solid-phase deposition reaches balance or not by calculating a space consistency index and a time convergence index of the matrix; finally, the solid-phase deposition amount is calculated after deposition equilibrium; according to the method, the problem of solid-phase deposition measurement distortion under the ultrahigh-pressure oil reservoir condition is solved, and interference-free, real-time monitoring and quantitative analysis in the deposition process are achieved.

The invention provides a preparation method of a Joule heat-assisted super-wetting metal net, a metal net with super-hydrophilic performance and a metal net with super-hydrophobic performance. According to the material, carbon nanotubes are firmly adhered to the surface of a metal net through polydopamine mediation to construct a micro-nano coarse structure, a hydrophobic alkyl compound is grafted through a sulfenyl three-component coupling reaction to reduce surface energy, and a super-hydrophilic / underwater super-oleophobic metal net and a super-hydrophobic metal net are prepared respectively. The Joule heating effect of the material is remarkably enhanced by introducing the carbon nanotubes, so that the temperature of the material can be rapidly increased to 100 DEG C or above within 20 seconds under the ultralow voltage of 2.0 V. The characteristic can be effectively used for in-situ heating viscosity reduction of high-viscosity crude oil, continuous and efficient oil-water separation is achieved in a double-channel separation device, the crude oil flux reaches up to about 3985 L.m <-2 >. H <-1 >, and the separation efficiency exceeds 98.6%. The method is also suitable for stainless steel meshes with micron-sized apertures, and can realize efficient separation of various crude oil emulsions.

The invention discloses a displacement potential energy gradient oriented injection-production reconstruction optimization method between fracturing segments, and relates to the technical field of oil and gas field development. The method comprises the following steps: firstly, establishing an oil reservoir three-dimensional numerical model according to oil reservoir interpretation data, simulating in an oil reservoir numerical simulator by using the oil reservoir three-dimensional numerical model to obtain a global pressure field and a fluid flow velocity change condition in the oil reservoir, constructing a fluid potential field model, and determining potential energy gradients among injection-production units; constructing an objective function and setting constraint conditions by taking the most balanced potential energy gradient distribution among all injection and production units in the fluid potential field model as an optimization objective, solving the objective function based on a particle swarm algorithm, and optimizing the horizontal well multi-stage fracturing inter-section injection and production scheme to obtain the optimal horizontal well multi-stage fracturing inter-section injection and production scheme. The control device is used for controlling the injection-production process device between the multistage seam sections of the horizontal well, quantitative characterization and active control of an oil reservoir fluid potential field are achieved, and a basis is provided for improving the injected fluid sweep volume and the crude oil recovery rate of an oil reservoir.

The invention relates to polymer dispersions made from (meth)acrylates having long side chains, as well as to the preparation process to prepare the same. The invention also relates to a crude oil composition comprising a crude oil and the polymer dispersion according to the invention. The invention also relates to the use of these polymer dispersions as paraffin inhibitors to improve the flow properties of crude oil, as well as their use to improve the transport and / or storage of a crude oil.

The utility model discloses an oil unloading tank for transferring crude oil, which comprises a tank body, two opposite ends of the tank body are respectively provided with an injection port and an output port, two layers of filter plates are fixedly connected inside the tank body, the inside of the tank body is divided into three parts by the filter plates, and the three parts are sequentially divided into a first cavity, a second cavity and a third cavity from the injection port to the output port. A sampling assembly is arranged on the outer wall, corresponding to the third cavity, of the box body, blow-down valves are arranged on the inner walls, corresponding to the first cavity and the second cavity, of the box body, and pressure assemblies are arranged on the outer walls of the first cavity and the third cavity. The pressure assembly is arranged in the oil unloading tank body, pressure distribution in the tank body can be changed, pressure difference is formed in the tank body, and crude oil is driven by pressure to penetrate through the filter screen, so that the filtering efficiency is improved.

The invention relates to the technical field of rapeseed oil processing, and discloses a rapeseed oil squeezing and leaching process integrating gradient temperature control and dynamic regulation, which comprises the following steps: S1, receiving and metering raw materials; s2, cooperatively softening, drying and squeezing; s3, dynamic regulation and control conveying and buffering of the rape seed cakes; s4, gradient temperature control leaching and waste heat recovery; s5, optimizing operation of a solvent recovery system; s6, collecting crude oil; drying and softening process parameters are dynamically regulated and controlled in the reverse direction with the squeezing requirement as the target, and precise cooperation of moisture and temperature of the blank pieces is achieved; in the leaching stage, gradient heating evaporation is adopted, and evaporation-removed waste heat is recycled for material preheating, so that the energy consumption is reduced while the solvent separation efficiency is improved; a dynamic matching mechanism based on real-time data and buffer storage is established, the production rhythm of a pre-squeezing workshop and a leaching workshop is coordinated, the problem of capacity imbalance is solved, and the purposes of improving the oil yield and the quality of crude oil, reducing energy consumption and solvent loss and enhancing the continuity and stability of whole-process production are achieved.

The invention relates to a corrosion inhibitor for corrosion prevention of an ultra-deep well, in particular to a method for prolonging the protection period of a solid corrosion inhibitor for the ultra-deep well, which comprises the following steps: S1, uniformly mixing an imidazoline corrosion inhibitor and an N-hydrochloride-containing corrosion inhibitor, adding an auxiliary corrosion inhibitor, and mixing to obtain a corrosion inhibitor intermediate; and S2, mixing and stirring the corrosion inhibitor intermediate and a curing agent, and pouring the mixture into a mold for molding to obtain the ultra-deep well solid corrosion inhibitor with the long protection period, the mold is made of a metal foil, and small holes are distributed in the metal foil. The corrosion inhibitor is low in dosage, long in release period, good in corrosion inhibition effect, simple to operate and convenient to construct; the release rate of the solid corrosion inhibitor for the ultra-deep well can be adjusted, the release rate is controlled and adjusted by changing the contact area of the corrosion inhibitor and the outside, the protection period of the solid corrosion inhibitor for the ultra-deep well is prolonged, the comprehensive corrosion inhibition rate can reach 85% or above, the crude oil yield is increased, and remarkable economic effects are achieved.

The invention belongs to the technical field of oil and gas field development engineering, and particularly relates to a construction method of an emulsion generation kinetic model. The method is based on a micro-fluidic experiment, comprehensively considers seven factors of pore throat radius, pore throat form, pore throat coordination number, displacement environment temperature, surfactant concentration, injection speed and crude oil viscosity, and determines an undetermined coefficient of a function by utilizing a least square method through single factor analysis and orthogonal experiment scheme design; therefore, the functional relationship among the pore throat radius, the pore throat form, the pore throat coordination number, the displacement environment temperature, the surfactant concentration, the injection speed, the crude oil viscosity and the emulsion generation rate and the generation radius is defined, and an emulsion generation kinetic model is constructed, so that an emulsion generation theoretical system under the multi-factor coupling effect is perfected; and reference is provided for other similar chemical flooding.

The invention provides a high-temperature-resistant lipopeptide reinforced foam flooding system and a screening method and application, and relates to the technical field of microbial oil recovery, the high-temperature-resistant lipopeptide reinforced foam flooding system comprises the following steps: S1, screening applied oil reservoirs; s2, based on the oil reservoir temperature and the crude oil viscosity selected in S1, screening a high-temperature-resistant lipopeptide reinforced foam flooding system; the high-temperature-resistant lipopeptide reinforced foam oil displacement system comprises a foaming agent, a foam stabilizer, gas and water, the foaming agent comprises one or more of surfactin (C12-18), scabrin (C14-18), iturin (C14-17), deocytin, serratia marcescens and mucin fermentation liquor, and the foaming agent comprises one or more of lipopeptide, a foaming agent and a foaming agent. The foam stabilizer comprises one or more of biosynthetic nano-silver, nano-iron, nano-copper, nano-zinc, nano-zirconium and nano-nickel. The method has the beneficial effects that the oil reservoir application range is wide, the pertinence is high, the field test effect is good, and a high-temperature-resistant lipopeptide enhanced foam oil displacement system is specifically constructed according to the temperature-resistant stability characteristics of lipopeptide surfactants and biosynthetic nano materials of different structures and types.

Systems and methods for producing olefins and / or aromatics are disclosed. The methods include aquaprocessing of crude and / or heavy oils, at high severity, prior to processing in a steam cracking unit to produce ethylene and propylene at a mass ratio of propylene to ethylene (P / E) of 0.6 or higher. The systems include an aquaprocessing unit capable of being operated at high severity and a steam cracking unit capable of producing ethylene and propylene at a mass ratio of propylene to ethylene (P / E) of 0.6 or higher.

The invention relates to the technical field of corrosion prevention of marine equipment, in particular to a sacrificial anode for a dry-wet alternating and high-temperature environment and a preparation method and application of the sacrificial anode. According to the sacrificial anode, the composite material composed of the carbon nanotubes and the metal elements is added into the aluminum-based alloy, the microstructure of the aluminum alloy is improved due to the addition of the carbon nanotubes, the thermal stability of the anode is improved, surface activation of the anode is promoted, the phenomenon that the surface of the anode is crusting and even passivated due to the influence of high temperature and a dry-wet alternating environment is prevented, and the service life of the anode is prolonged. Meanwhile, good conductivity is maintained; and by optimizing the ratio of the carbon nanotubes to the metal elements, the anti-corrosion protection efficiency on a metal structure in a high-temperature and dry-wet alternating environment is enhanced. Therefore, the method is expected to be applied to ocean environments such as ocean crude oil ship ballast tanks, FPSO (Floating Production Storage and Offloading) ballast tanks and mobile oil production platforms. The preparation method provided by the invention is simple and convenient, has a good industrial application prospect, and can improve the production efficiency and reduce the environmental pollution.

The invention relates to a mixed oil viscosity prediction method based on a residual physical guidance neural network, and relates to the technical field of oil and gas gathering and transportation. The method comprises the following steps: acquiring crude oil samples mixed in different proportions, acquiring a component characteristic factor and viscosity high-correlation data set, and performing sample enhancement through a generative adversarial network (GAN) to generate synthetic data conforming to a physical law; processing time sequence data by adopting a gating cycle unit (GRU), and optimizing network hyper-parameters by utilizing an adaptive genetic algorithm (AGA); constructing a residual physical guidance neural network (PGNN) model, and combining physical model output with deep learning residual correction; and finally, dynamic prediction and visual output of the viscosity of the mixed oil are realized. The method effectively solves the problems that a traditional empirical formula is insufficient in precision, a pure data driving model is poor in generalization ability and inconsistent in physics, is suitable for real-time viscosity soft measurement and closed-loop control under the complex oil mixing working condition, and is beneficial to efficient transportation of mixed crude oil.

The invention provides a self-adaptive pressure compensation type oil-water separation control system for an oil well, and relates to the field of oil exploitation, and the system comprises a working condition sensing module which is used for collecting state data of an oil-water separation mixture; the working condition pre-judging module is used for identifying a current oil-water separation working condition and a fluid characteristic change trend; the pressure compensation module is used for determining an optimal pressure parameter based on the current oil-water separation working condition and the fluid characteristic change trend; the pressure regulation execution module is used for controlling the operation of the oil-water separation control system based on the optimal pressure parameter; the feedback calibration module is used for collecting the mixing uniformity of an oil-water separation mixture, the water content of separated crude oil and the oil content of water, and optimizing a time window for fluid characteristic change trend identification; and the multi-mode switching module is used for indicating the pressure compensation module to adjust the optimal pressure parameter based on the sand content data and the instantaneous flow data of the oil-water separation mixture, and has the advantage of improving the oil-water separation effect.

The application provides a solar double-phase-change cascade heat storage system under an oilfield continuous heat load scene, and relates to the technical field of solar heat storage. The system comprises a heat collection, double-phase-change cascade heat storage, heat supply and flow control subsystem. The double-phase-change cascade heat storage subsystem is provided with first and second phase-change heat storage tanks with different phase-change temperatures in parallel. The flow control subsystem switches the fluid path based on the dynamic comparison criterion of the heat collection and heat storage temperatures, and directs the solar energy into the double tanks for cascade latent heat storage according to the heat energy grade. The heat supply subsystem guides the cold crude oil to sequentially absorb the heat released by the double tanks to perform cascade heating. The application overcomes the defect of low fluctuating solar energy capture rate of the traditional single-phase-change system, greatly reduces the irreversible exergy loss of heat transfer through cascade heat storage and release, improves the comprehensive utilization rate of full-band solar energy, and realizes efficient and low-carbon heat supply for oilfields.

The invention relates to the technical field of oilfield chemistry, in particular to a nano-composite viscosity reducer, a preparation method, application and a high-viscosity thick oil viscosity reduction method. According to the preparation method, the nano composite viscosity reducer is prepared from a surface-modified nano oxide and an amphiphilic polymer through a solvent exchange method; the nano oxide is nano silicon dioxide nano particles, zinc oxide nano particles or ferric oxide nano particles, and the amphiphilic polymer is a partial esterification product of a styrene-maleic anhydride copolymer or an octadecyl acrylate-methacrylic acid copolymer. According to the preparation method, the viscosity reducer not only can efficiently disassemble a colloid asphaltene network structure, but also has a certain catalytic modification function, does not influence subsequent treatment of crude oil, and has the advantages of high viscosity reduction efficiency, lasting effect, no formation of stable emulsion, shear resistance, good temperature resistance, strong universality and the like.

The application belongs to the technical field of biology, and discloses a molecular marker related to soybean crude oil content on chromosome 20 and application thereof. The application uses QTL positioning analysis combined with KASP marker development to analyze soybean crude oil content, obtains a KASP marker Gm_Chr20_43605309 which is stably and reliably linked to crude oil content and is located at position 43605309 on chromosome 20 of soybean, and designs a primer group corresponding to the KASP molecular marker Gm_Chr20_43605309. The application further provides a method for rapidly identifying the crude oil content of soybean by using the primer group of the KASP, which is simple and fast, accurate in identification result, and has a good application prospect.