95 results about "Saturation ratio" patented technology

The invention discloses a mine water recharge reservoir scaling trend prediction, scale removal and permeation enhancement method, and the trend prediction method comprises the steps: carrying out the conventional physicochemical index analysis of the water quality of mine water and a monitoring well according to the hydrogeological information of a recharge reservoir, and calculating the scaling trend of the mine water recharge reservoir based on a Retino index method and the relative saturation R.S. The scaling conditions of carbonate, sulfate and silicate are rapidly judged respectively; when scaling occurs, the ion concentration change on a path is revealed through a Transport module and an Equilibrium Phases module in the PHREEQC software, and verification is carried out through a measured value of a monitoring well; and then according to the mineral dissolution precipitation reaction and the percentage of the reservoir rock sample composition, calculating the reaction dose and the void ratio so as to formulate a mine water recharge reservoir permeation enhancement optimization scheme. According to the method, the scaling trend of the mine water recharge reservoir can be effectively predicted, the recharge process is monitored, and continuous operation of deep well recharge sealing work of mine water is facilitated.

The invention discloses an active anti-floating drainage model test device and test method considering saturation change, and belongs to the technical field of active anti-floating of buildings. The test device comprises a boundary model box, a building model box, a plurality of pore pressure sensors, a plurality of dielectric constant sensors, a pressure limiting drainage pipe for simulating active anti-floating equipment in an actual building, a water head control device and a rainfall simulation device, and can simulate a seepage field of an underground space under the condition of active anti-floating measures during rainfall. The drainage condition of the underground space under the condition is reproduced; the pore pressure sensor and the dielectric constant sensor monitor the saturation change of the soil body in real time, the vacancy of the existing test device in the saturation change factor of the soil body is filled up, the drainage condition of the active anti-floating measure and the seepage law of the soil body in the unsaturated-saturated transition process of the soil body under different rainfall and different stratum conditions can be demonstrated, and the test device has a wide application prospect. Scientific basis and data support are provided for optimization application of active anti-floating measures under different saturation working conditions.

The present application relates to new systems and methods of quantifying hydrocarbon saturation using measured acoustic logs. The methods and systems herein can accurately quantify the water saturation and hydrocarbon percentage in a low resistivity low contrast shaly sand reservoir where previous methods would indicate the reservoir was wet. In an embodiment, the disclosed system utilizes acoustic logging equipment or tools and techniques to transmit and / or record acoustic signals. Acoustic logging equipment operates by generating acoustic signals and detecting the acoustic signals after the acoustic signals pass through one or more geologic formations.

The invention provides a method for determining flow channel parameters of a fuel cell stack, which comprises the following steps of: acquiring variables such as flow field plate size dispersion difference, diffusion layer compaction non-uniformity and sealing element springback difference in a manufacturing process, and disturbance data such as load fluctuation, gas temperature and humidity, environment air pressure change and the like in an operating environment; establishing a joint uncertainty set; setting channel width, rib width, channel depth, group parameters and the like as to-be-optimized runner parameters, constructing a performance index set including pressure drop, saturation, temperature gradient, voltage fluctuation, oxygen utilization rate and the like, and setting a corresponding opportunity constraint confidence threshold; building a mapping relation among parameters, uncertainty and performance based on a water, gas, heat and electricity multi-physical coupling model, and forming a random coupling evaluation model; and solving a target parameter combination through an opportunity constraint optimization algorithm. The average performance and the robustness are considered, and the consistency, the reliability and the mass production of the fuel cell runner design can be improved.

The invention belongs to the technical field of road engineering, and particularly relates to a roadbed solid waste modified soil tensile strength estimation method considering freeze-thaw cycle, which comprises the following steps: determining the maximum dry density and optimal water content of solid waste under different W / C conditions through a heavy compaction test; the method comprises the following steps: preparing a sample, and putting the sample into a high-low temperature alternating testing machine for freezing and thawing cycle treatment; then carrying out a tensile test; and finally, comparing and analyzing the tensile strength corresponding to the solid waste under different working conditions, and establishing a tensile strength estimation model comprehensively considering the solid waste clay ratio, the relative compactness, the saturation degree and the freezing and thawing cycle number. By comprehensively considering the influence of factors such as gradation variables, compactness variables, humidity variables and environment variables on the tensile strength, rapid prediction of the tensile strength of the solid waste material under different conditions is realized, the model is clear in physical significance and simple in structure, the test difficulty is reduced, obvious engineering convenience is provided for units without test conditions, and the test efficiency is improved. High market popularization values are realized.

Example methods and systems for leak detection in transformers are disclosed. One example method includes obtaining moisture data of a substance in a power transformer. A functional relationship between relative saturation of moisture of the substance and temperature of the substance is determined based on the moisture data. A gradient of the relative saturation with respect to the temperature of the substance is determined based on the functional relationship. It is determined, based on the gradient, that a leak of moisture of an environment surrounding the power transformer into the power transformer has occurred. In response to determining that the leak has occurred, a visual alert or an audio alert is generated to indicate that the leak has occurred.

The invention discloses a method, a system, equipment and a medium for detecting an oil-water two-phase relative permeability curve, and belongs to the technical field of oil-gas field development technologies. The detection method of the oil-water two-phase relative permeability curve comprises the following steps: washing oil and drying a rock core sample, vacuumizing the rock core sample, and injecting formation water into the rock core sample, so that the rock core sample reaches a saturated water state; injecting crude oil into the core sample at a preset oil reservoir temperature to enable the core sample to reach a saturated oil state; performing water-displacing oil operation on the rock core sample at a preset flow rate, and scanning the rock core sample at a plurality of scanning nodes by using a CT (Computed Tomography) scanning device; oil saturation and water saturation are calculated according to an actually measured rock core CT value, and parameter fitting is performed on the Corey model according to the oil saturation and the water saturation to obtain an oil-water two-phase relative permeability curve. The method can accurately detect the oil-water two-phase relative permeability curve of the rock core.

The present invention relates to a method for optimizing supersaturation in fog, including: using cubic spline interpolation, a preprocessing method, to smooth and refine the logarithmic concentration before reverse integration, which can effectively smooth the data and reduce the error of numerical integration; this method estimates supersaturation through reverse integration and temperature dynamic compensation, and introduces the actual activation rate and the theoretical activation rate for error analysis to determine the optimal integration threshold, so as to reduce the error caused by improper setting of the integration threshold in the traditional method, and finally realize the optimization of the supersaturation estimation method. This method solves the problems of isolated data, error accumulation and insufficient environmental adaptability in the prior art, can reduce the gap between model simulation and measurement results, reduce the uncertainty of aerosol-cloud interaction simulation, and at the same time improve the parameterization process of microphysical processes.

The application relates to the technical field of coal mine safety, and provides a coal spontaneous combustion behavior evolution method and system under multi-physical field coupling. The temperature field of coal body spontaneous combustion changes the volume by affecting the deformation amount, the porosity of the coal body is calculated through the volume, and then the thermal deformation is driven; the thermal deformation influences the water diffusion through the porosity, the residual moisture saturation of the coal body and the liquid phase saturation, and then the water migration is driven in combination with the evaporation rate and the liquid phase saturation; the water migration drives the heat transfer in combination with the evaporation rate, the effective thermal conductivity and the coal oxidation reaction rate, a cycle of "heat transfer-thermal deformation-water-heat transfer" is formed, the "heat-force-water-heat" coupling closed loop during the coal body spontaneous combustion is realized, the two-way coupling of the seepage field, the temperature field and the mechanical field is realized, and the problem that the prediction is inaccurate due to the neglect of thermodynamic deformation and dynamic changes of pores in a traditional model is effectively solved.

The application discloses a kind of considering the dynamic change of water saturation tight gas reservoir productivity calculation method.This application method is by selecting multiple core samples, combined with the geological data of research area, using the way of steady state method and seepage method, experimental measurement each core sample under different water saturation conditions Start-up pressure gradient and gas-water relative permeability, dynamic start-up pressure gradient empirical formula is established, according to the gas-water relative permeability of each core sample under different water saturation conditions, the gas-water ratio of each core sample is calculated, and based on the physical model of tight gas reservoir fracturing horizontal well and considering the mathematical model of one-way shale gas reservoir fracturing horizontal well, the productivity model of tight gas reservoir fracturing horizontal well considering gas-water two-phase is established, and the IPR curve considering the dynamic change of start-up pressure under different water saturation conditions is obtained.The application realizes the accurate calculation of the productivity of tight gas reservoir, and lays a foundation for the development of tight gas reservoir.

The invention provides a method for detecting the porosity of a cement-based material by adopting an ultrasonic sound velocity method, and belongs to the technical field of detection of the porosity of the cement-based material.The method comprises the steps that a multi-phase sound velocity prediction model is established by preparing a gradient moisture content standard test piece, and a pore water saturation correction function is established by adopting a longitudinal and transverse wave velocity ratio; the moisture content interference is eliminated by using a saturation-sound velocity coupling inversion algorithm, the accurate detection of the three-dimensional porosity distribution of the to-be-detected material is realized by combining multi-angle ultrasonic tomography and a multiphase sound velocity distribution optimization game model, the result reliability is ensured through multi-path cross validation, the rationality of the porosity result obtained by inversion is judged, and the accuracy of the three-dimensional porosity distribution of the to-be-detected material is improved. When the porosity value exceeds the normal range threshold value corresponding to the material type, a multi-path sound velocity data cross validation program is started, the porosity is recalculated after abnormal measurement values are removed, and the technical problem that the porosity detection precision of the ultrasonic method is interfered by the water-containing state is solved.

The invention discloses a sensitivity analysis method and system for influence factors of moisture redistribution of an aeration zone in a subsidence area, and relates to the technical field of protection and utilization of water resources in ecologically fragile mining areas in northwest. The method comprises the following steps: carrying out a soil-water characteristic curve test under a disturbance stress path in a coal mining collapse subsidence area; a VG soil-water characteristic curve model suitable for the coal mining collapse subsidence area is obtained; determining the moisture redistribution condition of the vadose zone of the settlement area under coal mining collapse disturbance under each working condition, wherein the moisture redistribution condition is represented by saturation; based on a range analysis method and a multiple linear regression analysis method, sensitivity analysis is carried out on all main influence factors influencing moisture redistribution of the aeration zone of the subsidence zone under coal mining collapse disturbance, and sensitivity of all the main influence factors is ranked. According to the method, the accurate water redistribution rule of the aeration zone in the coal mining collapse subsidence area can be obtained through calculation, the sensitivity of the influence factors of the water redistribution of the aeration zone is reasonably analyzed, and an important theoretical basis is provided for rapid repair of the coal mining collapse subsidence area.

The invention discloses a multi-parameter intelligent adjustment energy efficiency management method and system for biogas purification, and belongs to the technical field of biogas purification. The method comprises the following steps: acquiring hydrogen sulfide concentration, carbon dioxide concentration and gas moisture content data, constructing an impurity parameter set based on historical sampling data, and calculating upper and lower envelope boundaries of each parameter to form an impurity parameter envelope boundary combination; calculating to obtain a comprehensive impurity fluctuation intensity index through the envelope width, and adding a fluctuation intensity label; and acquiring the accumulated regeneration times, adsorption efficiency and residual saturation of the adsorbent from a system background, calculating the health degree of the adsorbent, and distributing a health degree label. The intelligent regulation strategy table is constructed, and the corresponding regulation strategy is selected according to the real-time working condition, so that the dynamic energy efficiency management of the biogas purification process is realized, the pertinence and the stability of the regulation decision are improved, the system energy consumption is reduced while the purification effect is ensured, and the engineering application value is good.

The invention discloses a rock physical forward modeling method applicable to formation pore fluid of carbon dioxide, and relates to the technical field of petroleum and natural gas engineering. The method comprises the steps of firstly obtaining a carbon dioxide physical property constraint condition based on a state equation of carbon dioxide under a reservoir temperature and pressure condition, and then based on the constraint condition and according to logging information of a target well, core analysis and a laboratory test result, carrying out formation evaluation to calculate reservoir parameters. Then, based on reservoir parameters, the sandstone content is obtained through calculation, a rock physical volume model of a target well is constructed, and finally, based on the model, corresponding rock physical forward modeling is conducted according to different carbon dioxide saturations by means of the equivalent medium theory to generate stratum elastic attribute parameters. And the change relation between the corresponding saturation and the stratum elastic attribute parameters is quantitatively represented, so that the CO2 quantitative monitoring precision and reliability can be remarkably improved by comprehensively considering the special physical properties of CO2, the fluid replacement mechanism and the seismic wave propagation characteristics.

The invention provides an ultrasonic sound velocity detection method for the water content of concrete, and belongs to the technical field of concrete water content detection.The ultrasonic sound velocity detection method comprises the steps that a decoupling quantitative model of ultrasonic sound velocity, porosity and saturation is established, and multi-angle data acquisition is conducted through a two-way single-transmitting three-receiving method or an orthogonal opposite measurement method; rebar interference sound paths are eliminated by using a metal obstacle constrained linear interpolation tracking method, coarse-to-fine progressive sound velocity field reconstruction is realized through a layered adaptive inversion model, grid encryption and full-waveform inversion optimization are performed on a high-gradient region, and finally sound velocity distribution is converted into a moisture content distribution cloud picture. The technical problem that high-precision spatial distinguishing cannot be achieved for the internal moisture content distribution of the reinforced concrete is solved.

A system (100) for determining the hydrogen potential (pH) of flood wastewater and the irreducible water saturation, the system (100) comprising: a Dean-Stark apparatus (102) configured to clean core plug samples using a 50:50 solvent mixture of toluene and methanol at a temperature of 40°C; an ultrasonic cleaner (104) connected to the Dean-Stark device (102) and configured to remove surface deposits from the core samples after cleaning; a humidity-controlled oven (106) connected to the ultrasonic cleaner (104) and configured to dry and heat the core samples for 72 hours; a helium porosimeter (TPI-219) (108) connected to the moisture control furnace (106) and configured to determine the porosity of the core plug samples, including billets of different volumes, for measuring grain volume; an X-ray diffractometer (110) connected to the helium porosimeter (TPI-219) (108) and configured to determine the mineral composition of the sandstone rocks; a core flooding unit (112) comprising a core holder (112a), hydraulic pumps (112b), a back pressure regulator (BPR) (112c) and a heat source (112d) connected to the X-ray diffractometer (110) and designed to maintain certain temperatures of the core plugs during flooding, thereby enabling the injection of brine and oil under controlled conditions; a water analyzer (114) connected to the core flooding unit (112) and configured to measure the pH of the core wastewater; a liquid permeability meter (116) connected to the water analyzer (114) and configured to determine the permeability of the core plugs after initial water saturation; a receiving unit (118) connected to the liquid permeameter (116) and configured to collect wastewater after flooding; and a water bath (120) connected to the receiving unit (118) and configured to maintain a stable temperature during wastewater separation.

The invention discloses a carbonate reservoir saturation calculation method and system and a medium. The method is improved on the basis of a traditional high-contrast oil reservoir development mode, oil reservoir lithofacies water saturation is established through a non-communicated porosity curve, and a pore space fluid combination simplified volume model of a carbonate reservoir is constructed. Calculating the real water saturation of the carbonate reservoir by combining the first result curve, the second result curve and the oil reservoir lithofacies water saturation; the problem that due to the fact that low-resistance block masses are developed in the carbonate rock oil layer, the resistivity of the oil layer is too low, and then omission is caused is effectively solved.

This invention discloses a method for determining the upper limit of water saturation in tight gas reservoirs using two-phase permeability analysis, comprising: 1. Selecting several rock samples for gas-water two-phase permeability analysis, and establishing a gas-water phase permeability curve based on the relative permeability of the water phase, the relative permeability of the gas phase, and the water saturation value of each rock sample; 2. Based on the gas-water phase permeability curve, first reading the water saturation value of each rock sample when the relative permeability of the water phase is a set value A, then reading the relative permeability of the gas phase corresponding to the same water saturation value of each rock sample, and determining the upper limit of water saturation for each rock sample accordingly; 3. Calculating the average value of the upper limit of water saturation for each rock sample, and the obtained average value is the upper limit of water saturation for the tight gas reservoir. This invention can accurately determine the upper limit of water saturation in tight gas reservoirs using relatively simple means, simplifying the determination process and improving accuracy compared to existing technologies, providing an accurate basis for the rational exploitation of tight gas reservoirs.

The invention discloses a method for predicting unfrozen water content in a soil thawing process based on a pre-thawing theory. The method comprises the following specific steps: step 1, deducing an association relationship between an ice-water two-phase chemical potential difference and a temperature difference; 2, establishing an interface energy equation, and deducing a quantitative expression of the thickness and temperature difference of the pre-melting layer; 3, calculating the residual moisture content; 4, a Van Genuchten moisture feature model is introduced to describe the relation between the residual saturation and the temperature; the model prediction precision is excellent, the physical significance is clear, dynamic changes of unfrozen water of different soil textures can be accurately described, and theoretical support and a practical method are provided for cold region infrastructure anti-freezing design and soil moisture prediction.

The invention discloses a condensate gas reservoir horizontal well reverse condensation multiphase flow pseudo-pressure determination method. The method comprises the following steps: determining relative permeability of a gas phase and an oil phase under different pressures based on well flow component data of a condensate gas reservoir horizontal well; determining the gas phase relative permeability under irreducible water saturation based on the relative permeability curve of the condensate gas reservoir horizontal well; correcting the gas phase relative permeability under different pressures and the gas phase relative permeability under irreducible water saturation based on a capillary number effect and a high-speed non-Darcy effect generated by the seepage velocity of condensate gas in the condensate gas well; and based on the oil phase relative permeability under the different pressures, the corrected gas phase relative permeability under the different pressures and the corrected gas phase relative permeability under the irreducible water saturation, utilizing a three-region pseudo-pressure equation to determine the pseudo-pressure of the three regions of the condensate gas well. The pseudo-pressure of the condensate gas reservoir can be calculated more accurately, and a necessary basis is provided for subsequent productivity evaluation and reasonable and efficient development of the condensate gas reservoir.

The invention discloses a concrete equivalent heat conductivity coefficient prediction method considering pore water phase change and multi-parameter coupling. The concrete equivalent heat conductivity coefficient prediction method comprises the following steps: measuring heat conductivity coefficients of concrete components under different temperature conditions through experiments; collecting mass concrete temperature monitoring data under positive and negative temperature alternating conditions; constructing a concrete finite element model; adopting a least square finite element method to carry out multiple inversion and iterative optimization on the heat conductivity coefficient of the concrete; establishing a function relationship between the thermal resistance and the saturation of the concrete interface; and substituting parameters such as the heat conductivity coefficient, the porosity, the aggregate volume fraction, the saturation and the interface thermal resistance coefficient of each component into the composite material model to obtain a concrete equivalent heat conductivity coefficient prediction model considering pore water phase change and multi-parameter coupling under an extreme temperature change condition. According to the method, the temperature field simulation precision of hydraulic structures such as a dam in an extreme climate environment can be improved, and theoretical support is provided for structure safety evaluation and temperature control crack pre-judgment.

The application provides a kind of determination method of fuel cell stack flow channel parameter, method includes the following steps: collecting the dimensional dispersion of flow field plate in manufacturing process, diffusion layer compaction non-uniformity, sealing springback difference and other variables, and disturbance data such as load fluctuation, gas temperature and humidity, environmental pressure change in operating environment, establish joint uncertainty set;Set channel width, rib width, channel depth, group parameters as to be optimized flow channel parameters, construct performance index set including pressure drop, saturation, temperature gradient, voltage fluctuation, oxygen utilization rate, and set corresponding opportunity constraint confidence threshold;Based on water, gas, heat, electric multi-physical coupling model, the mapping relationship between parameters, uncertainty and performance is constructed, and a random coupling evaluation model is formed;Solve target parameter combination by opportunity constraint optimization algorithm.Considering average performance and robustness, the consistency, reliability and manufacturability of fuel cell flow channel design can be improved.

The application belongs to the field of rock physics and geophysical exploration, and relates to a simulation method for wettability affecting dispersion and attenuation of partially saturated sandstone, which comprises the following steps: S1. establishing a relationship between capillary pressure and water saturation for wettability correction; S2. calculating equivalent pore throat radius and effective permeability according to the relationship between capillary pressure and water saturation; S3. calculating characteristic frequency and complex bulk modulus under different wettability conditions based on a partially saturated patchy medium model; S4. simulating and comparing the characteristics of longitudinal wave velocity and attenuation under different wettability and water saturation conditions, analyzing the modulation law of frequency-dependent acoustic response caused by wettability change, and realizing quantitative characterization of the wettability effect. The step-by-step modeling method proposed in the application, combined with the wettability correction parameter represented by the contact angle, can systematically calculate the continuous coupling process from capillary pressure to equivalent pore throat structure and equivalent permeability to acoustic response, and realize quantitative analysis of the wettability change on the dispersion and attenuation law.

The present application relates to a kind of methods for detecting sludge properties, comprising the following steps: providing a sludge mixture, the sludge mixture is filtered by applying pressure;The sludge mixture is separated into filtrate and cake by filtration, the mass of filtrate and the corresponding filtration time are recorded, until the mass of filtrate no longer increases, then stop recording, and the data of the mass of filtrate and filtration time are obtained;Using the relationship model formula m=D-G / (1+H×t F ) of the mass of filtrate and filtration time is fitted, and the values of constants D, G, H and F are obtained, wherein m is the mass of filtrate, t is filtration time;The values of invariants D and G are calculated to obtain the values of saturation S ∞ , cake porosity ε, capillary number N cap , cake particle size x, critical pressure P b And cake permeability K.The present application has the advantages of simple operation, accurate results and reduced detection cost.

The invention discloses a relative permeability curve averaging method based on multi-sample virtual overall measurement. The relative permeability curve averaging method comprises the following steps: acquiring a relative permeability curve, a capillary force curve, absolute permeability and porosity of a sample as well as reservoir volume and rock stratum thickness data represented by each sample; drawing a capillary pressure-wet phase saturation curve graph and a relative permeability-wet phase saturation curve graph; assuming that the average wet phase saturation of all the samples under the condition of each specified capillary pressure value is calculated under the condition of overall measurement of the multiple samples, and determining the relative permeability value of each phase corresponding to the wet phase saturation; and respectively calculating the average value of the relative permeability of the wet phase and the average value of the relative permeability of the non-wet phase in the parallel and series arrangement directions of the rock strata to obtain an averaged relative permeability curve of all samples with anisotropic characteristics. The technical problem that the coarsening error of the relative permeability curve is too large is solved.

The application provides a volume fracturing post-pressure soaking time optimization method, which is based on well logging interpretation to obtain the temperature, saturated original water saturation, formation stress and pore pressure of a target layer; a target layer sample is selected to measure the core porosity and geometric size, and the core water saturation is equal to the formation water saturation under the formation temperature condition; the spontaneous imbibition curve is measured under the formation temperature and confining pressure condition, the spontaneous imbibition curve is plotted on the double logarithmic coordinate axis, the inflection point is found, and the inflection point time is recorded; the fitting equation is obtained by repeating the experiment; under the actual well condition, the average fracture spacing of micro-fracture and the actual formation saturation are estimated, the parameters are brought into the fitting equation, and the optimized soaking time interval can be obtained, so that the volume fracturing post-pressure soaking time is optimized. The method is simple, easy to operate, and good in reliability, can realize the estimation of the optimal soaking time on the site based on the indoor experiment, and achieves the purpose of soaking time optimization.

The present application relates to the technical field of composite material nondestructive testing and structure health monitoring, in particular to a new energy composite material micro-crack testing method based on ultrasonic echo; comprising: obtaining the time sequence ultrasonic echo signal of the target composite material in a continuous time period, and synchronously obtaining the soil volume water content and soil temperature; extracting the echo attenuation coefficient under different soil volume water contents, and analyzing the water saturation degree of micro-cracks; combining the soil humidity change curve and the water saturation degree change curve to calculate the capillary water absorption response coefficient; inputting the water machine coupling degradation prediction model to calculate the material degradation rate and the residual strength reduction coefficient; combining the future meteorological prediction data to extrapolate the water-sensitive micro-crack risk index, and obtaining the dynamic warning of the remaining safe life; the present application realizes the improvement from single static detection to the identification of the internal medium state of cracks.

The present invention discloses a method for inversely calculating the hydrate saturation in sediments by using the thermal conductivity, which includes fabricating a sediment sample containing hydrates, determining the heating time and the temperature rise of the sediment during the heating process through a temperature-measuring and heating probe, multiple groups of temperature-pressure sensor probes, and a constant-current and constant-voltage output device, then calculating to obtain the hydrate state in the sediment, and finally calculating the in-situ hydrate saturation in the sediment by using the hydrate saturation inversion formula. The present invention takes into account the influence of the latent heat of hydrate decomposition phase change when calculating the hydrate thermal conductivity, introduces the hydrate saturation in the sediment into the thermal conductivity calculation, and inversely obtains the in-situ hydrate saturation distribution in the sediment by using the principle that the thermal conductivity obtained by the mixture theory is equivalent to the thermal conductivity measured by the hot wire method. This method realizes the inverse calculation of the saturation distribution in hydrate-containing sediments with phase change based on the thermal principle, providing convenience for the calculation of the hydrate saturation in sediments.

The invention relates to an intelligent concrete curing method based on electrical impedance, and belongs to the technical field of intelligent concrete curing. The method comprises the following steps: measuring the resistivity of concrete at different ages and depths under spray curing through a monitoring system; water content, porosity, saturation and compressive strength tests are carried out, physical characteristics are determined, and then correlation between the resistivity and the porosity, the saturation and the compressive strength is analyzed; the moisture content, the saturation degree and the porosity and the saturation degree after hardening serve as preset characteristics; after pouring and vibrating, placing a conductive element to collect resistance data, and calculating the current porosity and saturation as expected characteristics; comparing the expected characteristic with the predetermined characteristic, adjusting the maintenance condition according to the difference, and monitoring the resistivity in real time; and predicting the compressive strength according to a compressive strength-resistivity regression equation, and adjusting the maintenance time or removing the template when the compressive strength reaches the standard. The intelligent maintenance level of concrete can be improved.

The invention relates to the technical field of reservoir numerical simulation application, in particular to a post-water-drive flow field evaluation method and device for water-drive development of a low-permeability volatile reservoir. The method comprises the following steps: determining a moisture flow field in a grid according to fluid parameters and grid thickness in the grid corresponding to an oil reservoir geologic model of a target low-permeability volatile oil reservoir; determining a residual reserve abundance field in the grid according to the fluid parameters and the saturation in the grid; determining a displacement intensity field in the grid according to the fluid parameters and the water flows in different directions in the grid; and according to the water flow field, the residual reserve abundance field and the displacement intensity field, evaluating the post-water-flooding flow field of the low-permeability volatile oil reservoir. The invention provides a whole set of scientific, reasonable and widely applicable grading evaluation method for characterizing and evaluating the seepage flow field of the water development low-permeability volatile reservoir.