20 results about "Tight oil" patented technology

The invention discloses an injection and production system and method for improving the CO2 huff and puff effect of a shale and compact oil and gas reservoir based on high-pressure pressure-maintaining soaking, and belongs to the technical field of shale and compact oil and gas reservoir development. The constant temperature device comprises a CO2 intermediate container, an experimental oil intermediate container and a high-temperature and high-pressure reaction kettle which are arranged in a constant temperature box; the CO2 gas cylinder is respectively communicated with the CO2 intermediate container, the experimental oil intermediate container and the high-temperature and high-pressure reaction kettle; and both the CO2 intermediate container and the experimental oil intermediate container are communicated with the constant pressure pump. According to the method, the reservoir energy can be effectively maintained by adopting a high-pressure pressure-maintaining soaking technology, the problem of poor recovery efficiency caused by pressure drop in the CO2 huff and puff process can be effectively solved, the oil displacement effect of CO2 in the shale reservoir is remarkably improved, and the recovery degree of each turn can be remarkably improved.

This invention proposes a method and apparatus for predicting fracture pressure and production classification in tight oil reservoirs, relating to the field of reservoir exploration technology. The method includes: acquiring tight oil horizontal well data; extracting factors affecting fracture pressure from the tight oil horizontal well data, inputting these factors into a tight oil horizontal well fracture pressure prediction model to obtain the fracture pressure; extracting factors affecting tight oil production from the tight oil horizontal well data, inputting these factors into a tight oil production prediction model to obtain the tight oil production; classifying the tight oil horizontal wells according to the tight oil production to obtain tight oil production classification results; and generating a tight oil horizontal well development strategy based on the tight oil horizontal well fracture pressure and tight oil production classification results.

A method for identifying fractured and porous zones using P-wave and S-wave logging is proposed. First, a nonlinear relationship between P-wave and S-wave logging data of the target formation is fitted based on density, natural gamma, and full-wave logging data. The S-wave logging curves for all wells are then calculated based on this relationship. Second, the P-wave and S-wave velocity ratios of the wells are calculated. Third, the P-wave and S-wave velocity ratios of mudstone with a certain thickness in the target formation are identified and statistically analyzed. If the P-wave and S-wave velocity ratio of a mudstone section is less than 1.7, similar to the sandstone layers above and below, and significantly lower than the corresponding values ​​of the overlying and underlying mudstone, it indicates the presence of fractures or pores in or near that mudstone section. Alternatively, it suggests that the well is located on a strike-slip fault zone, and the fractured and porous low-Vp / Vs mudstone section is near the fault location. This method offers low cost and high accuracy in identifying downhole fractures and pores. It has significant practical value for identifying drilling mud loss sections, sweet spots in tight oil and gas and shale oil and gas, evaluating production capacity, determining reservoir formation models, assessing fracturing, and determining oil, gas, and water permeability.

The present application relates to the technical field of petroleum geological exploration, and specifically discloses a method for exploring geological tight oil of a lower combination of Yanchang Formation in Ordos Basin, which screens effective formation water samples through double indexes, establishes a three-dimensional mineralization degree spatial distribution body and dynamically corrects water saturation, fuses oil saturation, seismic attributes and core mercury injection data to construct a multi-source feature matrix, applies differential correction to three types of low-resistance causes, namely, high bound water type, high mineralization type and micro-fracture conductive type, trains a sweet spot prediction model by using a random forest and XGBoost integrated learning framework, introduces a SHAP method to verify geological interpretability, generalizes the solidified model to the whole area to obtain a three-dimensional sweet spot probability body, introduces a source-reservoir pressure difference driving index to perform reservoir forming dynamics weighted correction, and grades favorable exploration target areas according to a probability threshold to output recommended well location coordinates, effectively solving problems such as low-resistance oil layer misjudgment, lack of interpretability in prediction, and lack of reservoir forming dynamic constraints in spatial evaluation.

The present application relates to the technical field of tight oil and gas development, and particularly discloses a method and device for calculating the permeability of a tight oil and gas reservoir based on fine classification of pores. The method comprises the following steps: obtaining multiple sets of sample data of multiple samples of the tight oil and gas reservoir, each set of sample data including the characteristic pore size of different types of pores of the corresponding sample and the experimentally measured permeability; based on the multiple sets of sample data, fitting to construct a permeability calculation model representing the correlation between the permeability and the characteristic pore size of each pore type; and based on the permeability calculation model, calculating the permeability of the sample to be evaluated. The present application classifies the pore types finely and determines the characteristic pore size of different types of pores, and constructs a permeability calculation model based on the characteristic pore size of different types of pores by considering the contribution of different types of pores to the permeability, thereby greatly improving the calculation accuracy of the permeability.

This invention discloses a gas channeling early warning method for tight oil reservoirs, belonging to the field of intelligent early warning technology. The method includes acquiring static data, dynamic production data, and geological parameters of the target reservoir; identifying dominant channels and their distribution patterns in the horizontal and vertical directions based on the static data; calculating the gas channeling sensitivity index (GSI) based on the dynamic production data and geological parameters; and triggering a gas channeling early warning when the GSI exceeds a preset threshold. This invention establishes a comprehensive risk awareness foundation by integrating static geological, dynamic production, and engineering parameters. It innovatively adopts a two-level early warning logic combining "static fuzzy recognition evaluation" and "real-time early warning of the dynamic GSI index," achieving a seamless transition from potential risk screening to real-time anomaly capture. This enables precise location of high-risk layers at the fracturing cluster level, prediction of the probability of gas channeling in the next 7-15 days, and visual diagnosis of channeling directions, providing direct and quantitative decision-making basis for plugging agent selection and well location optimization.

The application discloses a kind of hydraulic expansion osmosis energy-increasing enhanced oil recovery processes, belong to oil and gas field development technical field.Process steps include reservoir parameter optimization, first round of hydraulic expansion fracture, degradable temporary plugging agent injection steering, secondary hydraulic expansion crack, nano osmosis agent injection, stewing well flowback production (or not flowback production).The present application constructs macroscopic seepage channel by hydraulic expansion, temporary plugging agent realizes uniform crack propagation, nano osmosis agent enters nanoscale pore throat and separates matrix crude oil, which solves the problems of uneven reconstruction, difficult to produce matrix crude oil and low recovery in tight and low permeability reservoirs, and has the advantages of wide reconstruction range, significant recovery improvement, environmental protection and no damage, suitable for various complex oil and gas reservoir stimulation in tight oil, shale oil and other reservoirs.

The application discloses a fracturing device for supplementing formation energy of a tight oil reservoir, comprising a mixing unit, wherein the mixing unit is connected with a fracturing manifold through a pressurizing conveying device. The application also discloses a use method of the fracturing device for supplementing formation energy of a tight oil reservoir. The fracturing device for supplementing formation energy of a tight oil reservoir and the use method thereof solve the problem that in the prior art, due to poor compatibility between the particle size distribution, shape, density and surface characteristics of a proppant and fracturing fluid, the proppant is difficult to be uniformly suspended and dispersed in the fracturing fluid.

This invention discloses a method for predicting the production contribution of fracturing clusters in tight oil, belonging to the field of tight oil fracturing production prediction technology. The method includes: constructing a stage-aware gating model based on conventional geological, engineering, and production data; integrating multi-dimensional feature encoding and gating modulation to accurately predict single-well production; identifying effective fracturing clusters using a LightGBM classification model; quantifying the contribution using an integrated regression model; and finally allocating production through mass conservation constraints and normalization. This method eliminates reliance on expensive downhole monitoring, addresses the problem of poor physical interpretability through production pattern embedding and mass conservation constraints, and overcomes the pain points of sample imbalance and weak generalization ability by employing cost-sensitive learning, leave-one-well cross-validation, and ensemble strategies. It outputs a high-resolution dynamic production matrix, thereby achieving the prediction of fracturing cluster production contribution without downhole monitoring, providing data support for fracturing optimization and development adjustments.

The utility model discloses development multiset shale oil tight oil oil layer big well group horizontal well three-dimensional visual model relates to teaching mould technical field, more specifically relates to development multiset shale oil tight oil oil layer big well group horizontal well three-dimensional visual model, including a plurality of simulation horizontal well group and oil layer group simulation layer, its characterized in that, the oil layer group simulation layer is overlapped from top to bottom setting, is provided with ground loess layer simulation layer above the topmost oil layer simulation layer, be provided with simulation derrick on ground loess layer simulation layer, the utility model discloses simple structure, easy to make, and the display effect is good, and it is convenient for understanding, solved the problem that the direct observation big well group horizontal well in stratum in the existing teaching mould cannot pass, can directly and visually show big well group horizontal well in stratum and pass the track and the contact situation with high angle seam, can observe the longitudinal position situation of horizontal well section in development multiset shale oil tight oil oil layer stratum.

The application discloses a reconstruction method and system for a complex fracture type water-containing oil and gas reservoir horizontal well, belongs to the field of fracturing reconstruction process technology of low-permeability tight oil and gas fields, and has the advantages that the development characteristics of a fracture zone are determined according to the sand body geological characteristics and seismic data of a horizontal well control area; the fracture type reservoir type corresponding to the position of each fracturing section in the direction of the horizontal well cylinder is determined according to the development characteristics of the fracture zone and the relative position relationship of the horizontal well; the differential fracturing process parameters of each fracturing section are determined according to the fracture type reservoir type and the effective fracture reconstruction range on both sides of the perforation points of the corresponding fracturing section, and fracturing reconstruction is carried out; the method is designed by avoiding the reconstruction method of the fracture zone, the water-containing layer of the fracture zone and the fracture-induced fracture is avoided, the probability of water outflow of the horizontal well is reduced, and the implementation effect of the segmented fracturing reconstruction of the water-containing oil and gas reservoir horizontal well is improved.

The application relates to a dynamic imbibition device and method for simulating temperature and pressure conditions of a whole dense oil reservoir, and belongs to the technical field of dense sandstone reservoir development, in particular to a dynamic imbibition device and method for simulating temperature and pressure conditions of a whole dense oil reservoir. The device comprises a core clamping cylinder, a sealing cover plate, a sealing ring, a matrix core to be measured and a prefabricated fracture partition plate located between the two matrix cores to be measured. The method comprises the following steps: S1, preparation; S2, saturating the matrix core with crude oil; and S3, fracture water injection dynamic imbibition. The application can keep the dense sandstone reservoir dynamic imbibition experiment warm and pressurized, and can open the fracture during the process of keeping warm and pressurized, so that the imbibition mode of the dense sandstone reservoir can be simulated, the real formation conditions can be highly restored, and the simulation experiment research on the dynamic imbibition is promoted.

The application discloses a method for predicting the yield contribution of compact oil fracturing clusters, and relates to the technical field of compact oil fracturing yield prediction, which comprises the following steps: based on conventional geology, engineering and production data, a stage perception gating model is constructed, multi-dimensional feature coding and gating modulation are fused to accurately predict single-well yield, then a LightGBM classification model is used to identify effective fracturing clusters, an integrated regression model is used to quantify the contribution degree, and finally, the yield is normalized and distributed through the conservation of mass constraint. The method breaks away from the dependence on expensive downhole monitoring, solves the problem of poor physical interpretability through production law embedding and mass conservation constraint, and outputs a high-resolution dynamic yield matrix by means of cost-sensitive learning, leave-one-well cross-validation and integration strategy, thereby overcoming the pain points of sample imbalance and weak generalization ability, so as to realize the prediction of the yield contribution of fracturing clusters without downhole monitoring, and provide data support for fracturing optimization and development adjustment.

This invention discloses a method for optimizing the well-fracture network in tight oil reservoirs. The optimization method includes: Step S1: Modeling based on the detailed geology of the reservoir; Step S2: Modeling based on the detailed geostress parameters of the reservoir; Step S3: Determining the fracture network parameters based on the initial fracturing process scheme; Step S4: Determining the initial well spacing using reservoir engineering methods based on the fracture network parameters; Step S5: Determining the well-fracture network adaptability using reservoir engineering methods based on the initial well spacing; Step S6: Determining the well-fracture network adaptability and development effect using numerical simulation. This method improves the effective control of geological reserves in tight oil reservoirs and maximizes the possibility of balanced displacement, effectively realizing reservoir potential and significantly increasing production capacity and ultimate recovery rate.

This invention discloses a method, electronic device, and storage medium for predicting the production capacity of tight oil reservoirs. The method includes: establishing a mathematical model of seepage flow in horizontal wells of tight oil reservoirs based on the characteristics of multi-stage fracturing development; establishing a multi-stage fracturing production capacity model for horizontal wells of tight oil reservoirs based on the mathematical model of seepage flow in horizontal wells of tight oil reservoirs; calculating tight oil production capacity data under different fracturing completion parameters and formation parameters through orthogonal experiments based on the multi-stage fracturing production capacity model; normalizing the fracturing completion parameters, formation parameters, and their corresponding tight oil production capacity data, and dividing the normalized dataset into a training set and a test set; constructing a tight oil production capacity prediction model based on machine learning and setting hyperparameters for the tight oil production capacity prediction model; training the tight oil production capacity prediction model using the training set; and using the trained tight oil production capacity prediction model to predict tight oil production capacity. This method achieves rapid and effective prediction of tight oil production.

This invention belongs to the technical field of indoor simulation experiments for improving oil and gas recovery, and relates to a method for improving the oil displacement efficiency of tight oil reservoirs. In this invention, water-saturated carbon dioxide is injected into the tight oil reservoir. Relying on the mass transfer between the water-saturated carbon dioxide and the crude oil in the tight oil reservoir, the water-saturated carbon dioxide undergoes a phase change, causing some of the carbon dioxide in the water-saturated carbon dioxide to dissolve into the crude oil. At this time, the water phase in the water-saturated carbon dioxide is supersaturated and precipitates out, which increases the water saturation in the tight pore throat, resulting in a decrease in the relative permeability of the water-saturated carbon dioxide and an increase in seepage resistance. For water-wetted pores, the supersaturated precipitated water phase will be adsorbed on the pore wall surface, resulting in a decrease in the effective flow area and an increase in seepage resistance. Finally, the subsequent water-saturated carbon dioxide is forced to enter other smaller pores and channels, increasing the swept volume of water-saturated carbon dioxide in the tight oil reservoir, thereby achieving the purpose of increasing CO2 storage and oil displacement efficiency.

The application provides a fluid distribution and oil layer interpretation method based on nuclear magnetic frequency division processing, and belongs to the technical field of tight oil and gas exploration and development. The application detects 1D / 2D nuclear magnetic spectrum of a sample in the saturated oil, saturated water, saturated oil centrifugation and saturated water centrifugation states, determines the distribution characteristics of different property fluids on the transverse relaxation time, carries out twice frequency division processing on the nuclear magnetic logging T2 spectrum through the nuclear magnetic frequency division processing, obtains the content of different property fluids through the peak area proportion of the four sub-spectra, identifies different state fluids of the reservoir according to the form of the nuclear magnetic T2 spectrum, and finally evaluates and classifies the oil layer based on the nuclear magnetic frequency division processing result. The application can quantitatively identify different property fluids of the reservoir existing in different pores, can more effectively and accurately divide the fluid property of the reservoir, and greatly improves the oil layer identification precision.

The application provides a method for predicting fracture network controlled reserves of compact oil reservoir horizontal well volume fracturing, which comprises the following steps: firstly, a fracture network controlled volume prediction model coupled with different influencing factors is established according to the predicted horizontal well basic big data, and the fracture network controlled volume of the whole well section microseismic monitoring is predicted; secondly, a geological model is established according to the reservoir physical property parameters of the horizontal well, and the fracture network controlled volume of the whole well section microseismic monitoring is introduced into the geological model to obtain a productivity prediction model; finally, the effective fracture network controlled volume is calculated by using the productivity prediction model according to the horizontal well production dynamic parameters, the fracture network controlled reserves are further quantitatively calculated according to the reservoir physical property parameters, the fracture network controlled reserves index of the horizontal well is defined, and the development effect of the horizontal well volume fracturing is quantitatively evaluated, so that the problem of low prediction precision of reservoir numerical simulation is solved, the method has the advantages of simple calculation and strong operability, and has a wide application prospect and an important guiding role for fracturing optimization design.