34 results about "Induction logging" patented technology

The invention discloses a formation resistivity prediction method and device based on horizontal well array induction logging. The method comprises the following steps: dividing a permeable layer and a non-permeable layer in a horizontal well stratum according to logging information of an adjacent well and horizontal well array induction logging data; according to the three-dimensional complex interpretation model of the horizontal well stratum, the divided pervious bed and the divided non-pervious bed, a one-dimensional horizontal stratified interpretation model and a one-dimensional radial stratified interpretation model are constructed; performing inversion according to the obtained multiple groups of interpretation initial values and the one-dimensional horizontal stratigraphic interpretation model to obtain equivalent macroscopic resistivity of each horizontal stratigraphic stratum; and performing radial inversion on the equivalent macroscopic resistivity of each horizontal stratified stratum obtained by the one-dimensional horizontal stratified interpretation model according to the one-dimensional radial stratified interpretation model to obtain a resistivity prediction result of each horizontal stratified stratum. According to the method, stratum information prediction is carried out based on the simplified model by utilizing the sub-array parameters, the prediction speed is high, the precision is high, and the real information of the predicted stratum is truly reflected.

A deviated well anisotropic formation three-dimensional induction logging data inversion method, comprising: carrying out azimuth angle conversion on pre-acquired three-dimensional induction logging data to generate a three-dimensional induction logging curve under a wellbore coordinate system (100); constructing a window function on the basis of morphological characteristics of the three-dimensional induction logging curve (200); segmenting the three-dimensional induction logging curve by means of the window function (300); and performing full-parameter inversion on each section of the three-dimensional induction logging curve to obtain a horizontal resistivity and vertical resistivity of each formation layer, formation boundaries and a well deviation angle, wherein an objective function of the full-parameter inversion is to minimize the ZZ component fitting error of the three-dimensional induction logging curve (400). The present application further relates to a deviated well anisotropic formation three-dimensional induction logging data inversion apparatus.

The invention discloses an earthquake brine reservoir response feature recognition method based on deep learning, which breaks through the technical limitation of weak response of traditional acoustic logging to brine reservoir features by fusing induction logging data and an earthquake inversion result, and improves the accuracy of reservoir recognition. The improved UNET + + network structure effectively integrates multi-scale geologic features by using dense jump connection and a channel attention mechanism, enhances the capture ability of thin-layer brine weak reflection signals, and improves the accuracy of boundary recognition; a bidirectional LSTM and spatial feature alignment technology is introduced, deep fusion of logging vertical features and a seismic transverse section is realized, a horizon matching relation is optimized, and the risk of misjudgment caused by abnormal speed is effectively reduced; based on a depth supervision mechanism and a joint training strategy, a three-dimensional reservoir space distribution model is generated, depiction of a deep pore-fissure type brine reservoir is achieved, exploration efficiency is greatly improved, and reliable technical support is provided for brine resource positioning under complex geological conditions.

The application discloses a kind of based on deep learning's seismic brine reservoir response feature identification method, by fusing induction logging data and seismic inversion result, break through the technical limitation that brine reservoir feature response is weak to traditional acoustic logging, improve the accuracy of reservoir identification;Improved UNET++ network structure utilizes dense skip connection and channel attention mechanism, effectively integrates multi-scale geological features, enhances the capture ability of thin layer brine weak reflection signal, improves the accuracy of boundary identification;Introduce bidirectional LSTM and spatial feature alignment technology, realize the depth fusion of logging vertical feature and seismic horizontal profile, optimize horizon matching relationship, effectively reduce the risk of misjudgment caused by velocity anomaly;Based on deep supervision mechanism and joint training strategy, generate three-dimensional reservoir spatial distribution model, realize the description of deep pore-fracture type brine reservoir, greatly improve exploration efficiency, provide reliable technical support for brine resource positioning under complex geological conditions.

This invention provides a method, apparatus, and system for multi-point temperature correction of an array induction logging tool. The method includes: acquiring measurement signals from the array induction logging tool during temperature changes, the measurement signals being detected by a preset number of temperature sensors; constructing a temperature coefficient matrix for each temperature sensor based on the measurement signal, resulting in a preset number of temperature coefficient matrices; calculating a temperature correction coefficient matrix based on each temperature coefficient matrix; acquiring actual measurement signals from the array induction logging tool downhole, and performing temperature correction on the measured signals based on the temperature correction coefficient matrix. The multi-point temperature correction method for an array induction logging tool provided by this invention can calculate the temperature correction coefficient matrix based on the actual measurement signals and correct the measured signals based on the temperature correction coefficient matrix, thus avoiding errors caused by formation temperature changes and improving the accuracy and reliability of the array induction logging tool.

The application discloses a kind of induction logging instrument systems and acquisition method based on plasma optical fiber sensor, including ground current emission source and at least one well in current emission source and well in receiving acquisition device, the well in receiving acquisition device is connected with the optical system of induction signal detection being arranged on ground, the optical system is composed of sequentially connected broadband light source, polarizer, polarization controller, fiber optic circulator and spectrum analyzer, the fiber optic circulator is connected with well in receiving acquisition device and spectrum analyzer respectively, at least two plasma resonance optical fiber sensing probes are arranged in the well in receiving acquisition device. There is no mutual interference or crosstalk between plasma resonance optical fiber sensor, optical fiber sensor and emission power supply and antenna, and it is not easy to be disturbed by environmental electromagnetic noise, and multi-channel large data high-speed real-time transmission can be realized by using armored photoelectric composite cable connected with each well in receiving acquisition device.

The present invention provides a low electrical conductivity inhibitor and a preparation method therefor, and a drilling fluid containing the low electrical conductivity inhibitor. The preparation method for the low electrical conductivity inhibitor comprises: mixing tertiary amine and an epoxy coupling agent, carrying out a first heating reaction, cooling and then adding a terminator, and carrying out second heating and then adding a conditioning agent to obtain a low electrical conductivity inhibitor. The drilling fluid containing the inhibitor can solve the technical problem that existing brine drilling fluids have high electrical conductivity and thus affect the evaluation results of low resistivity oil layers from array induction logging in the oil layers, and meet the requirements for the low electrical conductivity of the drilling fluid, collapse prevention, and environmental friendliness.

An embodiment of the present application provides a logging interpretation method, device, and storage medium based on array induction. Logging data of a horizontal well to be measured is collected through array induction, and the logging data is subjected to environmental correction to obtain preliminary logging data. There is an association relationship between the preliminary logging data and the measurement frequency. The logging data of the horizontal well to be measured includes initial conductivity. The preliminary logging data is subjected to inversion correction to obtain the logging result of the horizontal well to be measured after inversion correction. The technical solution provided by the present application can obtain the logging result of the horizontal well to be measured by performing inversion correction on the preliminary logging data after environmental correction, thereby improving the accuracy of array induction logging.

The invention discloses a layered medium induction logging response intelligent forward modeling method, and relates to the technical field of oil exploration and development, and the method comprises the steps: inputting parameters; randomly generating N one-dimensional horizontal stratigraphic models, and generating a pixelated grid for each model along the vertical depth direction; a strict forward modeling method is adopted, and logging responses of the subarrays 1 of the N models are obtained; logging responses of the subarrays 1 of the N models are calculated in an approximation mode; establishing a deep neural network model for the subarray 1 for training, inputting and setting the pixelated grid resistivity of N models, and outputting and setting the residual error between the strict forward modeling response and the approximate forward modeling response of the N models; obtaining a deep neural network model after all the sub-arrays are trained; a horizontal layered model is randomly established, and a deep neural network model is adopted to realize rapid calculation of the array resistivity logging response of the model. According to the method, the propagation law of the low-frequency electromagnetic field is effectively utilized, the difficulty of intelligent forward modeling is reduced, and the residual error response range is small.

The application provides a large-inclination well / horizontal well array induction logging resistivity anisotropy correction method and relates to the field of geological exploration. The method comprises the following steps: modeling by adopting a three-dimensional finite difference method, performing array induction logging response simulation, and simulating the variation law of apparent resistivity under different inclination angles; establishing a resistivity correction chart according to the variation law of the apparent resistivity under different inclination angles obtained by simulation; if the anisotropy coefficient of the measured target well is known, a correction formula is obtained by chart fitting, and the resistivity is corrected through the correction formula; if the anisotropy coefficient of the measured target well is unknown, the anisotropy coefficient is calculated through a build-up section, a correction formula is obtained by chart fitting, and the resistivity is corrected through the correction formula. The method can effectively eliminate the resistivity'spike' phenomenon of the logging result, obtain a more approximate real formation resistivity value, and improve the accuracy of the reservoir evaluation of the large-inclination well and the horizontal well.

The invention relates to the technical field of oil exploration, in particular to an anisotropic field quality control method and device. According to the invention, quality control is carried out based on the well-seismic combination anisotropic field of three-component induction logging and partial azimuth seismic data, the quality control of the initial anisotropic field is cooperatively completed by combining microcosmic and macroscopic, mutually calibrating the seismic velocity and the logging velocity and utilizing the OVT domain azimuth processing technology and the three-component induction logging technology; on the basis of quality control, an abnormal well which reduces the precision of an anisotropic model in a development area is identified, the anisotropic model is re-established after the abnormal well is eliminated, and the quality control is iterated, so that the fidelity and the precision of a quality-controlled anisotropic field are comprehensively improved, and the anisotropic field in the development and research area is enabled to be more physically compliant and higher in precision; the method not only has better correlation with the seismic imaging scale, but also better coincides with the anisotropy law obtained by measuring the scale of the logging reservoir sand body.

The present invention discloses an intelligent forward modeling method for induction logging responses in layered media, relating to the technical field of petroleum exploration and development. The method comprises the following steps: inputting parameters; randomly generating N one-dimensional horizontal layered formation models and generating a pixelated grid for each model along the vertical depth direction; using a rigorous forward modeling method to obtain the logging responses of subarray 1 of the N models; approximating and calculating the logging responses of subarray 1 of the N models; establishing a deep neural network model for subarray 1 for training, with the input set to the pixelated grid resistivity of the N models and the output set to the residual between the rigorous forward modeling response and the approximate forward modeling response of the N models; obtaining the trained deep neural network model for all subarrays; and randomly establishing a horizontal layered model. Using the deep neural network model, the method achieves rapid calculation of the array resistivity logging response of the model. The method effectively utilizes the propagation laws of low-frequency electromagnetic fields, reduces the difficulty of intelligent forward modeling, and reduces the range of residual responses.

The invention relates to a gas-water reservoir evaluation method based on array induction logging, and belongs to the technical field of petroleum logging interpretation and reservoir evaluation. The method comprises the steps of firstly obtaining basic physical property parameters of a stratum, then establishing a mud dynamic invasion physical model, calculating the distribution rule of the water saturation of a gas-water reservoir and the formation water mineralization degree along with the change of time and radial distance in the mud invasion process, and further determining the formation resistivity radial distribution characteristics influenced by mud invasion. And comparing and verifying the array induction time lapse response calculated by numerical simulation with the actually measured array induction logging data to determine the mud invasion depth and invasion zone characteristics, thereby accurately identifying the gas layer, the same gas-water layer and the water layer. According to the method, the influence of capillary pressure on gas-water two-phase flow and the diffusion mixing process of slurry filtrate and formation water are considered, the dynamic slurry invasion process can be accurately described, and the well logging interpretation precision and reliability in tight sandstone gas-water reservoir evaluation are remarkably improved.

An oil-water identification method based on RPFE characteristics of undisturbed formation can identify oil and water layers, and the oil-water identification method is based on the dispersion of the original signal of array induction logging, mapping a spectrum image of the array induction logging sub-array 7, and forming a two-dimensional oil-water identification chart by using the dispersion and the product of the resistivity after borehole correction and the formation porosity, and the test of actual logging data shows that this method can accurately and effectively divide the oil and water layers, and improve the efficiency of the oil-water evaluation in reservoir.

The invention discloses a fracture surface density parameter prediction method and device based on array induction logging, and the method comprises the steps: obtaining at least three initial resistivity curves of a target well through an array induction mode; the at least three initial resistivity curves are preprocessed, at least three target resistivity curves are obtained, and data noise in the target resistivity curves is smaller than data noise in the initial resistivity curves; based on the at least three target resistivity curves, determining an initial crack surface feature vector of the target well, and performing normalization processing on the initial crack surface feature vector to obtain a target crack surface feature vector; and inputting the target fracture surface feature vector into the target prediction model for analysis to obtain a fracture surface density parameter of the target well, thereby solving the technical problem that the fracture surface density parameter is difficult to stably predict under the condition of a high-angle or vertical fracture.

This invention discloses an adaptive wellbore correction method based on a wellbore response database, belonging to the field of geophysical logging technology. This adaptive wellbore correction method, based on a wellbore response database, is applied to actual logging data from the small-diameter array induction logging instrument HACRT. For wellbore impacts with intrusion, a wellbore correction model with intrusion is introduced. The intrusion impact is calculated using geometric factors, and the wellbore response is calculated using the wellbore response database to obtain a logging response estimate. This invention solves problems such as skin effect correction of the wellbore model response signal, inconsistency between the wellbore model and the actual logging environment, and multiple solutions in wellbore model parameter inversion. It considers engineering problems in actual logging data processing and is adaptable to harsh well conditions such as larger well diameters and low-resistivity salt-cement slurries.

The embodiment of the invention provides an induction logging simulation method and device based on digital twinning and electronic equipment, and relates to the technical field of logging. The method comprises the following steps: respectively analyzing and modeling according to various characteristic parameters of the induction logging instrument to obtain an instrument model; performing detection characteristic analysis according to the instrument model to obtain detection characteristics of the instrument model; performing parameter optimization design on the instrument model according to the detection characteristics to obtain an instrument twinborn body corresponding to the induction logging instrument; and performing induction logging simulation on the environmental stratum model according to the instrument twinborn body to obtain a simulation result. According to the implementation mode provided by the invention, simulation and optimization of the induction logging operation are provided, and real-time monitoring and intelligent diagnosis of the operation process are provided.

The invention provides an inclined shaft anisotropic stratum three-dimensional induction logging data inversion method and device, and the method comprises the steps: carrying out the azimuth conversion of the pre-obtained three-dimensional induction logging data, so as to generate a three-dimensional induction logging curve under a borehole coordinate system; constructing a window function according to the morphological characteristics of the three-dimensional induction logging curve; segmenting the three-dimensional induction logging curve through the window function; all-parameter inversion is carried out on each section of three-dimensional induction logging curve to obtain the horizontal resistivity, the vertical resistivity, the stratum boundary and the hole drift angle of each horizon; wherein the objective function of all-parameter inversion is that the fitting error of the ZZ component of the three-dimensional induction logging curve is minimum. According to the method, the parameters such as the anisotropic stratum conductivity and the borehole inclination angle of the inclined shaft can be quickly and accurately solved, so that the logging information of the three-dimensional induction instrument can be better quickly processed and applied on site.

The application discloses a kind of inclined shaft anisotropy has the fast calculation method of invasion stratum induction logging response, it is related to the technical field of electrical logging in oil exploration and development, comprising: constructing three-dimensional heterogeneous stratum model containing inclined shaft anisotropy invasion;Extracting invasion zone longitudinal model and original stratum longitudinal model;Considering induction logging instrument parameters, using semi-analytical algorithm and 0-dimensional inversion, obtain equivalent stratum model;Point by point construction radial heterogeneous model;In turn calculate the response of induction logging instrument different source distance and frequency operating mode, each mode response combination obtains induction logging synthetic apparent resistivity curve;Through all measurement depth points point by point cycle calculation, finally obtain the logging response of whole well section.The inclined shaft anisotropy has the hierarchical superposition of stratum decomposition for invasion, by combining semi-analytical solution and neural network algorithm, induction logging response calculation speed is improved more than three orders of magnitude.

The invention relates to an array induction high signal-to-noise ratio subarray curve estimation method and system. The estimation method comprises the following steps that the stratum conductivity when gas is completely contained is calculated to serve as a theoretical conductivity lower limit; and constructing a constraint condition based on the conductivity curve of each sub-array, and correcting the conductivity curve of each sub-array based on the constraint condition and the theoretical conductivity lower limit to obtain a corrected sub-array curve. According to the method, the theoretical conductivity lower limit value is estimated by comprehensively reflecting data such as an experiment of rock physical characteristics of a complex carbonate rock stratum, a porosity logging curve and the like, so that high-signal-to-noise-ratio curve optimization and abnormal value correction are carried out on an array induction logging original sub-array curve which is influenced by a complex shaft environment, high temperature and high pressure and is relatively low in overall signal-to-noise ratio; it is ensured that the overall quality of the corrected conductivity curve meets the follow-up processing requirement, and an accurate resistivity curve is provided for gas-bearing recognition and reserve calculation of the complex stratum.

The invention discloses a fluid property identification method based on reservoir anisotropy, which belongs to the technical field of logging data evaluation and comprises the following steps: S1: obtaining cross-dipole acoustic wave data and three-component induction logging data of a known reservoir, and obtaining fast shear wave time difference, slow shear wave time difference, longitudinal resistivity and transverse resistivity of the reservoir after processing; S2: calculating acoustic wave anisotropy and resistivity anisotropy respectively according to the fast shear wave time difference, slow shear wave time difference, longitudinal resistivity and transverse resistivity information obtained in S1; S3: obtaining a relationship factor between acoustic wave anisotropy and resistivity anisotropy according to S2, and obtaining a relationship between the relationship factor and reservoir fluid properties; S4: identifying the fluid properties of the reservoir to be measured using the relationship factor obtained in step S3, thereby solving the problem of fluid property identification under complex oil and gas reservoir conditions such as low contrast and low resistivity in the prior art and effectively identifying gas and water layers in the reservoir.

The invention provides an induction logging skin effect correction method and device and an induction logging device.A subarray is simulated in advance to detect a sample medium, apparent conductivity measured under various working frequencies and corresponding true conductivity are obtained, and the first apparent conductivity under the target frequency is determined according to the apparent conductivity and the corresponding true conductivity; calculating a first relative skin depth according to the first apparent conductivity and the source distance, calculating a ratio of the true conductivity to the first apparent conductivity under the target frequency as a conductivity ratio, and fitting each conductivity ratio with the corresponding first relative skin depth to obtain a skin depth value; obtaining a quantitative relationship among the true conductivity, the first apparent conductivity under the target frequency and the first relative skin depth; during actual well logging, second apparent conductivity and second relative skin depth under the target frequency are calculated on the basis of a method similar to that during simulation detection, and then the measured apparent conductivity is corrected by combining the quantitative relation. The scheme can improve the accuracy and reliability of the correction result.

The present application belongs to the technical field of induction logging data processing, and discloses an induction logging iterative borehole correction method and device. The data of n sub-arrays under different hole diameters and borehole influence factors are fitted to determine a first formula of the borehole influence factors and the first ratio of the n sub-arrays under different hole diameters. According to the first formula, the coefficients a, b and c of different sub-arrays under different hole diameters are determined. A given initial formation apparent conductivity value is used to calculate the borehole influence factor according to the first formula. The borehole influence factor is brought into a second formula to calculate the formation apparent conductivity. The formation apparent conductivity is brought into the first formula to calculate the borehole influence factor, and the result is brought into the second formula for iterative calculation to obtain the formation conductivity response value not affected by the borehole mud. The present application can be applied in induction logging data inversion and does not have the inversion process, and can obtain the formation conductivity response value not affected by the borehole mud.

The invention provides an array induction logging information anisotropy correction method, device and equipment and a medium, is suitable for the technical field of oil exploration and development, and can improve the correction efficiency of array induction logging information. The method comprises the following steps: acquiring parameters of an array induction logging instrument; target interval information and adjacent well interval data corresponding to a target interval are obtained; according to the parameters of the array induction logging instrument and an array induction logging subarray forward modeling algorithm, an array induction logging composite signal is determined; constructing a uniform anisotropic medium inversion model, determining an anisotropic coefficient initial value of the current depth point according to target interval information and adjacent well data, and inputting the anisotropic coefficient initial value into the uniform anisotropic medium inversion model; and performing iterative inversion on the uniform anisotropic medium inversion model by using a gradient iterative inversion algorithm, and determining an anisotropic correction result of the actual measurement data of each detection mode at the current depth point.

The invention provides an inhibitor for drilling fluid, a preparation method of the inhibitor and the drilling fluid containing the inhibitor, and the preparation method of the inhibitor for the drilling fluid comprises the following steps: mixing tertiary amine and an epoxy coupling agent, carrying out first heating reaction, adding a terminating agent after cooling, and adding a blender after second heating to prepare the inhibitor for the drilling fluid, wherein the mass ratio of the tertiary amine to the epoxy coupling agent to the terminator to the blender is (2-8): (1-2): (1-2): (2-8); the drilling fluid containing the inhibitor can overcome the technical problem that the existing saline drilling fluid is high in conductivity, low-resistivity oil layer array induction logging is affected, and the evaluation result of an oil layer is affected, and meets the requirements of low conductivity, collapse prevention and environmental protection performance of the drilling fluid.

The invention belongs to the technical field of geophysical logging, and particularly relates to a digital stratum model construction method and system, a storage medium and equipment, and the method comprises the steps: collecting and screening original data related to geology, and building a three-dimensional cylindrical or cuboid digital stratum model as a solid model; according to the established digital stratum model, the response characteristics of the corresponding stratum are calculated and simulated in combination with data related to the induction logging instrument; a post-processing function of the COMSOL is used to inspect distribution of a three-dimensional electric field, a three-dimensional magnetic field and eddy current, and response mechanisms of different array conditions are researched. The method has the effect of being suitable for calculation and simulation of response characteristic numerical values under specific stratum conditions.

The present invention discloses an array induction borehole correction method, device, storage medium, and processor. The method comprises: obtaining measurement signals obtained by each subarray of an array induction logging instrument; determining borehole environment parameters corresponding to the borehole environment of a target formation, and using a multidimensional space interpolation method to obtain target borehole geometry factors of the borehole environment from a borehole geometry factor library based on the borehole environment parameters; establishing a tomographic matrix equation based on a radial formation model and the measurement signal, solving the tomographic matrix equation to obtain a radial conductivity distribution of the target formation; determining a measurement value expression based on the radial formation model and the radial conductivity distribution, and determining a borehole correction formula using the target borehole geometry factors corresponding to the borehole environment; determining the measurement value of the corrected target formation based on the measurement value expression and the borehole correction formula, and completing the borehole correction. The present invention solves the technical problem of borehole correction errors caused by existing borehole correction methods ignoring mud intrusion.

The application discloses a high-precision forward method for electromagnetic field of a fracture formation induction logging instrument based on Born approximation, and comprises the following steps: 1) calculating electromagnetic field distribution in a formation without fractures; 2) calculating the influence of fractures on original electromagnetic field; and 3) superimposing the value of electromagnetic field in the formation without fractures and the influence of fractures on the original electromagnetic field to obtain an actual electromagnetic field. The method strictly considers the geometric shape of the fractures, and avoids directly carrying out grid division on the fracture area, so that the calculation result of the actual electromagnetic field is more accurate.

The invention provides a highly-deviated well / horizontal well array induction logging resistivity anisotropy correction method, and relates to the field of geological exploration. The method comprises the following steps that a three-dimensional finite difference method is adopted for modeling, array induction logging response simulation is conducted, and apparent resistivity change rules under different hole drift angles are simulated; establishing a resistivity correction chart according to the change rule of the apparent resistivity under different hole drift angles obtained by simulation; if the anisotropy coefficient of the measured target well is known, a correction formula is obtained through chart fitting, and the resistivity is corrected through the correction formula; if the anisotropy coefficient of the measured target well is unknown, the anisotropy coefficient is calculated through the deflecting section, then a correction formula is obtained through chart fitting, and the resistivity is corrected through the correction formula. The resistivity'spike 'phenomenon of a logging result can be effectively eliminated, a more approximate real formation resistivity value is obtained, and the accuracy of reservoir evaluation of a highly-deviated well and a horizontal well is improved.

The invention discloses a data acquisition method, system, equipment and medium for anisotropic strata in an inclined shaft, and relates to the technical field of logging data processing.The method comprises the steps that a continuous oblique angle of any measuring point in the inclined shaft serves as an estimated value of a borehole inclination angle of the measuring point, and the variation range of the borehole inclination angle of the measuring point is set; based on the estimated value of the borehole dip angle of each measuring point, the borehole dip angle change range and the three-dimensional induction logging data, a logging response component combination curve of each measuring point is constructed; performing skin effect correction on the two curves corresponding to each measurement point; and determining the intersection point in the two-dimensional cross plot of the two corrected curves corresponding to each measuring point as the truth value of the borehole dip angle and the truth value of the horizontal conductivity of the corresponding measuring point, and further calculating to obtain the truth value of the vertical conductivity of each measuring point. According to the invention, the truth value of the horizontal conductivity and the truth value of the vertical conductivity of the stratum can be obtained with high precision.