448 results about "Well logging" patented technology

The invention relates to an array electric imaging logging based reservoir oil-water identification method and system. Aiming at the resistivity distribution characteristics of mud-invaded formations, a 'five-parameter formation model' is established, which is adapted to the requirement for simulating the resistivity distribution characteristics of different mud types and different invaded formations, and is pioneering in the aspects of forward-inversion models and processing methods of array electric imaging logging; and based on a 'five-parameter inversion' method for array electric imaging logging, an operation of carrying out resistivity distribution profile reconstruction on mud-invaded formations is performed, which reflects the actual differences between different resistivity distribution characteristics or change rules of mud-invaded oil formations or water formations. The method has stronger practicability, and is pioneering in the actual application aspects of qualitative identification and quantitative calculation on reservoir fluid properties.

This invention discloses a method for indicating the degree of pyrite development in carbonate reservoirs, belonging to the field of geological exploration technology. Its key features include the following steps: a) selecting sensitive parameters to distinguish pyrite development based on the well logging response characteristics of pyrite-developed strata; b) establishing trend lines for the variation of sensitive parameters in formations with no or low pyrite content using these sensitive parameters; c) constructing trend lines for the variation of sensitive parameters with pyrite content based on strata data from key wells with different pyrite contents; d) identifying pyrite-enriched strata in the wells to be identified based on the intersection indications of the sensitive parameters; e) evaluating the degree of pyrite development in the pyrite-enriched strata by assessing the degree of difference in the intersection of sensitive parameters. This invention achieves the identification of pyrite-enriched strata through resistivity and sonic transit time intersection, enabling rapid and accurate identification of the degree of pyrite development in carbonate reservoirs.

This invention discloses a method, apparatus, equipment, and storage medium for detecting annular flow pressure drop in wellbore. The method includes: fitting acquired electrical logging data of the well diameter of the target well; processing an irregularly enlarged well section into a concave arc-shaped wellbore to be tested; obtaining the maximum diameter and concave height of the concave arc-shaped wellbore; determining the diameter enlargement factor of the concave arc-shaped wellbore based on the maximum diameter and the pre-acquired drill bit diameter of the target well; and inputting the diameter enlargement factor, the concave height, and the drilling data of the target well into a pre-constructed model of an irregular wellbore annular flow pressure drop in a reference well for calculation to obtain the annular flow pressure drop of the target well. This method enables rapid detection of the annular flow pressure drop of the target well based on the annular flow pressure drop of the reference well, improving the detection efficiency of annular flow pressure drop in irregular wellbore annulus.

This invention provides a method for characterizing sedimentary microfacies distribution based on comprehensive geological and seismic analysis. By studying the sedimentary environment and surrounding tectonic background of the entire block, this invention calculates the cumulative percentage of channel and shoal body types based on sedimentary microfacies and grain size analysis. Based on a comprehensive analysis of the lithofacies of drill cores and corresponding well logging curves and seismic response characteristics, it establishes a comprehensive response model of the main sedimentary facies-well logging facies of the target stratigraphic group in the study area. Furthermore, based on the fusion of seismic attributes, it characterizes sand bodies in seismic profiles. By integrating the sand body characterization results, the comprehensive response model of sedimentary facies-well logging facies, and the sedimentary microfacies types, a method for characterizing sedimentary microfacies distribution in tight sandstone reservoirs using comprehensive seismic and geological analysis is established.

The invention relates to a method for predicting fracture development laws of carbonate rocks with different lithologies, which comprises the following steps of: performing lithology division on a target layer of a research area, and analyzing fracture development characteristics with different lithologies; simulating fracture development conditions of different lithology under different confining pressures in different burial depth environments of the research area through a rock compression experiment to obtain fracture development laws of different lithology; identifying the lithology of each single well in the research area by using a well logging curve under core calibration to obtain a lithology interpretation result of each single well; the fracture development rules of different lithology are matched with the lithology interpretation result of each single well, and the fracture development condition of each single well target layer in the research area is obtained; and predicting the fracture development condition of the target stratum of the research area by utilizing a three-dimensional geologic modeling method according to the interpretation results of different lithology of the target stratum of each single well and the fracture development condition. According to the method, multiple means of actual petrology observation, indoor rock core experiments, well logging interpretation and three-dimensional modeling are combined, the development laws of carbonate rock fractures of different lithology on the ground and underground can be accurately predicted, a fractured reservoir development area can be found easily, and a reliable basis is provided for exploration deployment.

The application discloses a reservoir prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of seismic exploration. The method determines acoustic time difference relationship data, density relationship data, porosity relationship data and water saturation relationship data according to first logging data, then reconstructs impedance relationship data according to the relationship data, determines a seismic wavelet according to first seismic data and the first logging data, and obtains a first data volume and a second data volume based on the reconstructed impedance relationship data, the first seismic data and the seismic wavelet, and fuses middle-low frequency data in the first data volume with high frequency data in the second data volume to obtain a target data volume. The method supplements the missing high frequency data in the seismic data by the high frequency data in the logging data, can predict thin sand layers with relatively thin thickness, and thus improves the prediction effect on the thin sand layers with relatively thin thickness.

The application discloses a kind of based on sequence stratigraphy and seismic sedimentology's braided river channel reservoir fine characterization method, comprising the following steps: obtaining target area core, well logging and high-resolution three-dimensional seismic data;By analyzing the sedimentology mark and logging facies mark in the target area, to determine the sedimentary facies type and sedimentary microfacies division;Using lithology and well logging curve, using the theory of sedimentology, high-resolution sequence stratigraphy identifies sequence interface type and feature, and carries out high-resolution sequence stratigraphic sequence division;Division reservoir architecture interface;According to the internal structure of sedimentary system, sedimentary facies distribution, focus on high-frequency sequence and sedimentary body scale, generate the braided river channel reservoir fine characterization result of target area architecture unit.The present application effectively solves the deficiencies of prior art in reservoir fine description, boundary identification and parameter inversion, improves the efficiency and success rate of oil and gas reservoir development.

The application discloses a kind of shale reservoir bedding structure's logging quantitative characterization method and system, can accurately, effectively identify shale reservoir bedding structure, wide application range, analysis measurement cost is low, improve the exploration and development efficiency of shale oil and gas simultaneously.The method comprises the following steps: collecting the logging curve data of target area;According to the logging curve data, calculate and obtain natural gamma heteromorphic curve, acoustic heteromorphic curve and deep lateral resistivity heteromorphic curve;According to natural gamma heteromorphic curve, acoustic heteromorphic curve and deep lateral resistivity heteromorphic curve, calculate and obtain bedding coefficient curve;Filtering to bedding coefficient curve, construct bedding structure identification standard according to the bedding coefficient curve after filtering;Determine the bedding structure of target area based on bedding structure identification standard, realize the logging quantitative characterization of reservoir bedding structure.

The application discloses a watered-out layer secondary interpretation method under the condition of small layer level oil-water interface understanding, and steps are as follows: step 1, small layer geological modeling and oil-water interface fine calibration; step 2, well logging data standardization and quality control; step 3, continuous calculation of small layer mixed formation water resistivity; step 4, completion of reservoir parameter quantitative calculation; step 5, obtaining of primary interpretation based on small layer oil-water interface; step 6, implementation of secondary iteration correction under the constraint of production dynamics; and step 7, output of interpretation results and application suggestions. The application belongs to the technical field of oilfield development well logging interpretation, and solves the problems that the prior art is not accurate in key parameter calculation, the interpretation process is single, and the precision and actual development demand are not matched.

The present application relates to a kind of thin interbed type deposit high-quality reservoir prediction method, comprising: obtaining the geological data, seismic data and well logging data of the region to be analyzed, well seismic combination tracking interpretation oil group top, bottom interface;With the oil group top, bottom interface as constraint, utilize the three-dimensional seismic data acquisition three-dimensional seismic inversion data;With the oil group top, bottom interface as constraint, according to the three-dimensional seismic inversion data and the well logging data are combined, obtain oil group internal relative isochronous sedimentary interface;According to the oil group internal relative isochronous sedimentary interface, based on three-dimensional seismic inversion data, each small layer reservoir plane distribution in oil group is solved;According to the three-dimensional seismic inversion data, based on the information of actual drilling well, sandstone probability body seismic data is solved;Utilize actual drilling well information to construct reservoir classification standard, realize single well reservoir type division;According to the sandstone probability body seismic data, with single well reservoir type as constraint, carry out high-quality reservoir space distribution prediction.

The present application provides a kind of shale gas dessert evaluation method based on methane carbon isotope in tank top gas, the shale gas dessert evaluation method includes the following steps: (1) obtain the tank top gas sample of logging, measure the methane carbon isotope value in tank top gas sample by time period;(2) the data sequence of different time periods of methane carbon isotope value obtained in step (1) is curve fitting;(3) the curve obtained in step (2) is sequentially integrated and differentiated, form the model algorithm of the characteristics of shale reservoir storage and desorption gas volume;(4) according to the model algorithm obtained in step (3), the quality of shale gas reservoir is classified, and the dessert interval is divided out.The evaluation method provided by the present application solves the technical problem of shale gas reservoir site dessert identification under the condition of no geological coring and no geophysical logging, improves the shale gas dessert drilling rate and single well development efficiency, and clarifies the related technical principles and technical routes, reduces the exploration cost, and improves the customer acceptance.

This application provides a method and apparatus for identifying anomalies in micrologging interpretation data. The method includes: acquiring the first arrival wave from historical seismic observation data; acquiring the coordinate data of the micrologging well to be identified; performing tomographic inversion on the surface layer based on the coordinate data and the first arrival wave to obtain surface velocities and thicknesses for different surface layers; generating a first velocity-thickness curve based on the surface velocity and thickness; performing tomographic inversion on the micrologging well to obtain a second surface velocity and a second surface thickness; generating a second velocity-thickness curve based on the second surface velocity and the second surface thickness; and determining whether the second velocity-thickness curve is anomaly based on the first velocity-thickness curve. This application can effectively improve the accuracy of micrologging data, thereby improving the quality of single-shot seismic exploration acquisition and the accuracy of static correction calculations in data processing.

The invention relates to a buried hill gas storage effective gas storage space evaluation method, and belongs to the technical field of oil-gas exploration. The method comprises the following specific steps: acquiring fracture development parameters; determining the type of a storage space; reservoir logging response characteristics are determined; extracting buried hill cracks; establishing a bedrock geologic model and a bedrock buried hill discrete fracture model of the target area; and importing the results into a gas storage simulation model in the form of data flow, extracting effective gas storage spaces of a substrate and a crack of the buried hill gas storage, and determining a final buried hill building effective gas storage space. Through research on the method for calculating the reservoir space of the buried hill oil and gas reservoir rebuilt gas storage, the problem of invalid reservoir space calculation is deducted, the calculation accuracy is improved, and theoretical support is provided for calculation of the buried hill reservoir building capacity and later injection and production well position deployment.

The application discloses a method and device for identifying gas-bearing reservoirs, and the method comprises the following steps: establishing a reservoir longitudinal identification criterion according to well logging data and seismic data of a study area; extracting a plurality of seismic attributes from each seismic survey line in two-dimensional seismic data of the study area; determining optimal seismic attributes from the plurality of seismic attributes through comparative analysis; and determining a favorable reservoir distribution area according to the reservoir longitudinal identification criterion and the optimal seismic attributes.

A method of deploying a pulsed neutron logging tool. The method may comprise detecting natural gamma rays from the subterranean formation via one or more detectors of the pulsed neutron logging tool, broadcasting neutrons into the subterranean formation, and detecting neutron-induced gamma rays and natural gamma rays from the subterranean formation. The method may further comprise creating an inelastic spectrum, a capture spectrum, or a capture time decay from the natural gamma rays or the neutron-induced gamma rays, forming an inelastic yields, a capture elemental yields, or a formation sigma form the inelastic spectrum, the capture spectrum, or the capture time decay, creating a closure model from the inelastic yields and / or capture elemental yields and / or a formation sigma, and identifying a porosity, a mineral weight fraction, or a quality figure of merit from the closure model that quantifies geologic hydrogen reservoir quality.

The application discloses a carbonate rock lithology identification method and application thereof and relates to the technical field of lithology identification. The application comprises the following steps: S1: acquiring the well diameter expansion rate and the resistivity reduction range of the carbonate rock limestone, the dolomitic limestone and the dolomitic limestone section, and establishing a lithology identification chart by taking the well diameter expansion rate and the resistivity reduction range as coordinates; and S2: identifying the lithology of a detection well by using the lithology identification chart obtained in the step S1 and conventional logging data. The lithology identification method is simple, convenient and high in accuracy, can be used as a guide for carbonate rock new well logging interpretation and completion scheme, and further achieves the purpose of accurately transforming a reservoir, effectively avoids invalid schemes, and provides better support for a carbonate rock new well completion scheme.

The application discloses a kind of fusion well logging data and multi-scale fracture identification method of wavelet transform, belong to oil and gas exploration and development geophysical well logging technical field.This method includes: obtaining the natural gamma, deep and shallow resistivity and acoustic travel time well logging curve of target formation;Curve is adaptively wavelet transformed, and multi-scale feature is extracted;Based on high-frequency component, the fracture response characteristic parameter set containing deep and shallow resistivity difference index, crack coefficient, relative acoustic travel time and natural gamma change rate is constructed;The parameter set is weighted and fused into preliminary fracture intensity parameter;The parameter is nonlinearly enhanced with Sigmoid function and moving average smoothing processing;Finally, the gradient of the smoothed parameter is calculated, and the fracture area is automatically divided by threshold determination and output quantitative evaluation result.The application effectively strengthens the high-frequency abnormal response of fracture, significantly improves the accuracy, stability and anti-interference ability of fracture identification using only conventional logging data.

The present application relates to the technical field of geophysical exploration, in particular to a downhole three-component magnetic field sensing system based on atomic magnetometer. The downhole three-component atomic magnetic field sensor is connected with the optical fiber signal modem in the ground well logging vehicle through the armored photoelectric composite cable. The optical fiber signal modem is used for real-time demodulation of the three-component magnetic field signals and three-component attitude signals measured by the three-component atomic magnetic field sensor. The three-component atomic magnetic field sensor comprises a non-magnetic high-temperature packaging structure, a high-temperature-resistant atomic gas chamber module, a three-axis orthogonal laser optical system, a high-temperature-resistant photoelectric detection array, a power management module, a temperature sensor, a magnetic field solving and signal processing unit and a three-component optical fiber attitude sensor which are arranged in the non-magnetic high-temperature packaging structure. The three-component atomic magnetic field sensor adopts the atomic magnetometer measurement principle, combines the high-temperature-resistant materials and the optimized heat dissipation design, and can work stably in an environment of up to 200 DEG C.

This invention relates to a method, apparatus, migration method, device, and medium for establishing an anisotropic parameter field. The method includes: obtaining the thickness of the target logging layer at each well point based on well logging layer information; obtaining the thickness of the target seismic interpretation layer corresponding to the well point based on seismic interpretation layer information; calculating the thickness factor of the well point at the target logging layer based on the thickness of the target seismic interpretation layer and the thickness of the target logging layer; and correcting the target logging layer based on the thickness factor of each well point and the thickness of the target seismic interpretation layer to obtain the corrected target logging layer, thereby establishing an anisotropic parameter field. In this embodiment, by constraining the logging layers between well points under the lateral trend of the seismic interpretation layer, the difference between the established anisotropic parameter field and the anisotropic parameter field of the actual subsurface medium is reduced.

This disclosure describes methods and systems for CO2 injection well placement in a target area. The method involves identifying input data associated with the target area, the input data including at least one of core samples or well logs from the target area; generating, based on the input data, a structural depth grid of the target area; generating, based on the structural depth grid, a slope map of the target area; generating, based on the slope map of the target area, a flow direction map for the target area; determining, based on the flow direction map, a fluid flow accumulation and a fluid flow length in the target area; and based on the fluid flow accumulation and the fluid flow length in the target area, selecting at least one position for drilling at least one CO2 injection well in the target area.

The application discloses a method for constructing a lithology curve, comprising the following steps: S1. classifying, assigning values to and generating a curve of a lithology interpretation result of a well; S2. standardizing a well logging curve reflecting the lithology; S3. taking the curve generated in the step S1 as a low-frequency component; taking a high-frequency component by performing high-pass filtering on the well logging curve standardized in the step S2; and superimposing and fusing the low-frequency component and the high-frequency component after dimensionless processing, and then performing standardization to obtain the lithology curve. According to the method, a parameter curve with well logging characteristics is constructed according to a lithology interpretation result, the number of wells participating in inversion in a research area is increased, and therefore, the reservoir inversion prediction precision is improved, and technical support is provided for exploration and evaluation stages, early development stages and especially unconventional reservoir prediction of a target layer with complex lithology.

The application discloses a kind of multi-parameter coordinated well logging device and method under high temperature and high pressure environment, it is related to measurement technical field, detection tube is equipped with detection protection component, isolation ring is placed between adjacent detection probe, rubber tube both ends are fixed with dismounting ring, driven gear is engaged in one side of driving gear, the detection tube bottom end of the bottom end is connected with counterweight detection component, when the bottom end or top end of the whole device is extruded, the whole device will be bent at rubber tube, the whole device changes from straight to bent state, so that the device passes through protruding position, facilitate the subsequent detection to carry out, broken motor is driven by driven gear on the top surface of inner end cover through rotation and driven gear ring rotates, in turn drive crushing tooth to rotate, protruding part is broken in ascending process, enlarge the blocked borehole, to facilitate fast recovery device, avoid the problem that device is difficult to recover and affect detection and property loss.

This invention discloses a method and apparatus for determining the total organic carbon content of kerogen based on oil saturation. The method includes: determining the total organic carbon content and oil saturation of a formation based on well logging data; determining the total organic carbon content of crude oil in the formation based on the oil saturation; and determining the total organic carbon content of kerogen in the formation based on the total organic carbon content of the formation and the total organic carbon content of crude oil in the formation. This method can accurately determine the organic carbon content of kerogen, thereby accurately describing the quality of source rocks.

This invention relates to the field of carbonate rock lithology identification technology, and particularly to a method, system, and apparatus for automatically identifying carbonate rock lithology based on well logging curves; comprising the following steps: S1, acquiring well logging curve data, core data, and thin section data from multiple wells in the area to be identified; S2, standardizing and environmentally correcting the well logging curve data; S3, using an optimization model to solve for the lithological profile of the area to be identified, thereby determining the clay content, porosity, and water saturation; S4, constructing rock structure curves and formation fracture porosity curves; S5, constructing a machine learning model, setting a learning sample set, and inputting the learning sample set into the machine learning model for training, so that the trained machine learning model can automatically identify carbonate rock lithology; this invention improves the accuracy of carbonate rock lithology identification.

This invention discloses a low-frequency compensation method, apparatus, device, medium, and product. The method includes: acquiring target post-stack seismic data; inputting the target post-stack seismic data into a target low-frequency compensation model to obtain low-frequency compensated seismic data. The target low-frequency compensation model is obtained by iteratively training an initial low-frequency compensation model using a target sample set, where the target sample set includes: post-stack seismic data samples and corresponding well logging curves. The technical solution of this invention can improve the reliability of low-frequency compensated seismic data, providing a data foundation for improving the quality of post-stack inversion.

The present application relates to the technical field of metal ore geophysical exploration, and discloses a magnetic logging identification method suitable for tungsten-molybdenum polymetallic ore in the south Qinling tectonic belt, which comprises the following steps: step 1, drilling holes in the exploration area, and carrying out nine-parameter geophysical logging on each drilling hole, wherein the nine parameters include natural gamma, natural potential, apparent resistivity, magnetic susceptibility, apparent polarization rate, magnetic measurement three components, hole inclination, hole diameter and well temperature. The magnetic logging identification method suitable for tungsten-molybdenum polymetallic ore in the south Qinling tectonic belt establishes a multi-parameter collaborative logging identification system suitable for tungsten-molybdenum polymetallic ore in the south Qinling tectonic belt, uses parameters such as natural gamma and apparent resistivity to divide the lithology, uses apparent polarization rate and magnetic susceptibility as the core to identify the mineralization zone, uses the magnetic measurement three components to judge the blind ore body, realizes the integrated exploration process of 'lithology division-mineralization zone delineation-blind ore body identification', and effectively overcomes the defects of single parameter and insufficient information utilization of the traditional method.

The embodiment of the application provides a marine carbonate high-resolution sequence stratigraphic division method and device, and belongs to the technical field of geological exploration. The method comprises the following steps: obtaining logging data of a target well section, generating a first curve based on the logging data, the first curve being a curve for representing the rise and fall of the paleo-sea level of the target well section; obtaining stable isotope data of the target well section, correcting the first curve based on the stable isotope data, obtaining a second curve, and thus establishing a high-resolution sequence division scheme of a single well; obtaining a seismic profile of the target well section, determining a negative inflection point of the second curve, and calibrating the seismic profile based on different levels of the negative inflection point of the second curve, so as to determine a high-resolution sequence tracking scheme of the target well section; and the application can quickly and conveniently solve the problem of high-resolution sequence stratigraphic division and comparison.

This invention discloses a method for optimizing a geological model by scanning the well inclination angle. It aims to solve the problem of low efficiency and poor accuracy in directional drilling where the geological model inclination angle is constantly fitted to the actual drilling curve to correct the geological model. The core steps are as follows: Step 1: Establish a geological steering model for the current drilling based on the logging and structure of the completed well. Step 2: Set the actual logging curve of the drilling trajectory AB segment as the target curve, and extract the simulated curve from the geological steering model along this segment of the well trajectory. Step 3: Set the inclination scanning range 'a' and the scanning step size 'dlt', read the well inclination angle ∠A at point A, and perform an inclination scanning of the well inclination of segment AB with a step size of 'd1t' within the range of ∠A-a to ∠A+a, extracting the simulated curve from the model at each inclination angle. Step 4: Calculate the similarity between the simulated curve and the target curve using the similarity calculation formula within the range of ∠A-a to ∠A+a, and record the inclination angle difference when the similarity is the maximum. Step 5: Use the angle difference recorded in Step 4 to make the geological model angle after point A equal to the original angle plus the angle difference. Step 6: To ensure continuous model updates, calculate the inclination point forward from point A, thereby guiding directional drilling.

This invention discloses a method for establishing a porosity interpretation model based on mixed lithology. The method includes: converting surface porosity into formation porosity by overburden correction of porosity from core analysis; establishing a functional relationship reflecting the instability of the rock skeleton by repeatedly fitting the overburden-corrected porosity with porosity logging curves; and establishing a multivariate regression interpretation model using the porosity interpreted from the three-porosity curves. The porosity interpretation model obtained through multiple multivariate regression fitting shows a significant reduction in relative error compared to the single-variate fitting porosity interpretation model, thus improving interpretation accuracy.