1435 results about "Inversion methods" patented technology

The invention discloses a non-planar network fracturing construction control method for a fractured reservoir, which includes the step: firstly, performing pre-fracturing evaluation by (1) obtaining the intrinsic fracture development degree and directions according to FMI (formation micro-scanner image) logging and conventional logging data, (2) determining man-made fracture directions, (3) judging the angle relation between man-made fractures and intrinsic fractures, and (4) judging the non-planar network fracturing formation adequacy; secondly, establishing a stress field inversion constrained optimization model by utilizing a numerical value inversion method combining multi-well constrained optimization and finite elements so as to obtain numerical simulation of three-dimensional geostress states and rock mechanical parameters of a fractured reservoir area; thirdly, selecting corresponding construction parameters, and fracturing strata so as to force the intrinsic fractures and holes to open as large as possible; and fourthly, according to the opened equivalent number and openness of the intrinsic fractures explained by test fracturing, selecting grain sizes and use amount of propping agents matched with the intrinsic fractures or the holes, and leading fracturing fluid carrying the propping agents to enter the intrinsic fractures or the holes.

In a liquid crystal display, a liquid crystal panel includes a plurality of pixels. Each of the pixels has a plurality of subpixels corresponding to a red, a green and a blue and is arranged along data lines. The subpixels are formed in pixel regions, which are defined by the data lines and gate lines. First groups of the subpixels are connected to an adjacent left data line and second groups of the subpixels are connected to an adjacent right data line. The data lines are driven by a column inversion driving method such that image data applied to the adjacent data lines have different polarities. Thus, the screen-defects are reduced when the liquid crystal panel is driven by the dot inversion method.

Method for improving convergence in gradient-based iterative inversion of seismic data (101), especially advantageous for full wavefield inversion. The method comprises decomposing the gradient into two (or more) components (103), typically the migration component and the tomographic component, then weighting the components to compensate for unequal frequency content in the data (104), then recombining the weighted components (105), and using the recombined gradient to update (106) the physical properties model (102).

The invention relates to a method and system for establishing a multilayer oil pool inter-well connectivity model. The multilayer oil pool inter-well connectivity model capable of simulating oil and water dynamic states is established oriented to the limitation that by means of a current connectivity model, only the dynamic change of production liquid can be predicted, the dynamic states of the oil phase and the water phase cannot be calculated respectively, and connectivity analysis cannot be carried out layer by layer. According to the model, an oil pool system is layered and scattered into a series of inter-well communication units, matter balance equation calculation is carried out with the inter-well communication units as simulating objects, pressure solving and inter-well flow calculation are achieved, an inter-well saturation degree tracking calculating method is established with the combination of the lead edge boosting theory, and the output dynamic states of oil and water of all layers at well points are obtained; a model parameter inversion method is established in a fitting mode through dynamic states based on a random disturbance approximation method, a projection gradient method and the like. Layered inter-well flow distribution coefficients, single well longitudinal production liquid and production oil splitting coefficients and other information can be obtained in real time, the oil pool plane, the longitudinal oil and water flow relation and the production measure change can be more accurately reflected to guide the practical production of an oil field.

A method for determining a formation profile surrounding a well is used to establish a first formation profile using a neural network inversion method. A synthetic log is generated from the first formation profile and if the synthetic log converges with a real log, the formation profile parameters associated with the synthetic log are output. Otherwise, the first formation profile is modified and a new synthetic log is generated.

The invention relates to a leaf area index and chlorophyll content inversion method based on remote sensing image optimization PROSAIL model parameters. The method includes: downloading a remote sensing image and preprocessing the same to obtain multispectral canopy reflectance data; using a PROSAIL model to establish a lookup table according to different parameter combinations, and determining the relation of different parameters and canopy reflectance, namely an regression equation; establishing an objective function, combining the multispectral canopy reflectance data to optimize the parameters until a global minimum and a corresponding parameter combination of the objective function are obtained, and updating the parameters by the aid of the multispectral canopy reflectance data; and performing inversion according to the regression equation, the multispectral canopy reflectance data and the parameter combination, so that a leaf area index and chlorophyll content are obtained. The method extends a traditional method from points to surfaces, field observation data are not needed, cost of measuring the leaf area index and the chlorophyll content by the traditional method is effectively lowered, and inversion accuracy and speed are increased.

The invention relates to an earth face evapotranspiration remote sensing inversion method and system based on MODIS data. The earth face evapotranspiration remote sensing inversion method comprises the following steps that (1), a research area is confirmed, relative MODIS data porducts in the research area are achieved and pretreated; (2), a scatter diagram of space change information is built by the utilization of the pretreated MODIS data products, a remote sensing inversion of pixel sized surface evaporation ratio EF is conducted; (3), according to the relative MODIS data products, remote sensing inversions of pixel sized surface net radiation Rn and soil heat flux G are conducted; (4), according to the surface evaporation ratio EF, the surface net radiation Rn and the soil heat flux G, a remote sensing inversion of pixel sized earth face evapotranspiration LE is conducted. The earth face evapotranspiration remote sensing inversion method only needs to input the MODIS data, the problem that the current evapotranspiration remote sensing inversion usually needs more ground observation data to assist is solved, and the earth face evapotranspiration remote sensing inversion method can be used for the evapotranspiration remote sensing inversion in the area with no data or with few data.

The invention discloses a measuring method for electrical resistivity of electromagnetic waves while drilling, comprising the following steps: generating an electromagnetic wave power signal with specific frequency; emitting the electromagnetic wave power signal into a ground layer through an emitting antenna coil; receiving two electromagnetic wave power signals including measured ground layer information through two receiving antenna coils so as to generate two paths of electromagnetic wave power signals including the measured ground layer information; carrying out band-pass filtering to the two paths of the electromagnetic wave power signals including the measured ground layer information, and carrying out AD sampling to the two paths of the electromagnetic wave power signals including the measured ground information which is subjected to the band-pass filtering so as to generate two paths of electromagnetic sampling digital signals; carrying out frequency mixing transformation and low-pass filtering to the electromagnetic wave sampling digital signals so as to generate amplitude value information and phase information; generating amplitude value ratio and phase difference according to the amplitude value information and the phase information; and generating an electrical resistivity drawing board of the electromagnetic wave power sinals in a chart inversion method according to the amplitude value ratio and the phase difference. An embodiment of the invention also discloses a measuring device for the electrical resistivity of the electromagnetic waves while drilling.

An apparatus and method for driving an LCD device is disclosed, in which an inversion method of an LCD panel is changed depending on a specific pattern of image data so as to improve picture quality of images displayed on the LCD panel. The apparatus for driving an LCD device includes an LCD panel displaying images, a polarity control signal generator comparing image data with pattern data previously stored for the unit of frame and generating a polarity control signal in accordance with the compared result, a data driver converting an inversion method in accordance with the polarity control signal and supplying the received image data to the LCD panel, a gate driver supplying scan pulses to the LCD panel, and a timing controller controlling the data driver and the gate driver.

A method for determining a representation of an anisotropic earth formation is described, wherein the inversion step for generating the representation from recorded seismic data is performed using several values of a pre-defined anisotropy parameter addition to components of the moveout velocity. The anisotropy parameter is preferably introduced into the moveout equation or dispersion relation, which in turn is used in the inversion process. A more accurate representation of earth

The invention discloses an environmental satellite 1-based surface temperature single-window inversion method. The method comprises the following steps of: 1, acquiring remote sensing data of an environmental satellite 1B, namely an HJ-1B satellite, of the surface of a region to be tested, preprocessing the remote sensing data to acquire image data and converting a pixel brightness digital number (DN) value of the image data into radiance; 2, performing atmospheric correction on the image data by using an image-based continental offshore stratigraphic test (COST) atmospheric correction model; 3, estimating emissivity epsilon of the surface of the region to be tested by a normalized difference vegetation index (NDVI) threshold method; and 4, inverting the surface temperature by a single-window algorithm according to calculation results obtained in the steps 1 to 3. In the method, the image-based COST model atmospheric correction method and the surface temperature single-window algorithm with no need of an atmospheric water vapor content parameter are applied to the HJ-1B satellite remote sensing data, so that the inversion of the surface temperature is realized.

The invention provides a model constraint based impedance inversion method and a model constraint based impedance inversion system. The model constraint based impedance inversion method includes: acquiring log data, seismic data and acquisition matrixes of a current stratum; extracting seismic interpretation data from the seismic data; building an initial impedance model according to the log data and the seismic interpretation data; estimating seismic wavelets according to the log data and the seismic data; confirming objective function according to relationship between acoustic wave impedance and reflectance and sampling relationship when seismic traces are missing; confirming impedance sections or impedance objects of the current stratum according to the initial impedance model, estimated seismic wavelets and the objective function; and comprehensively interpreting the impedance sections and the impedance objects to acquire reservoir prediction results of the current stratum. Through model regularization, seismic data interpolation and seismic wave impedance inversion are combined organically, so that the seismic data interpolation and the seismic wave impedance inversion can be realized simultaneously.

The present invention discloses an inversion method for laser radar data of atmospheric particulate matter particle size spectrum spatial and temporal distribution. The method comprises: by measuring back scattered echo signal of atmospheric particulate matters via laser radar, accurately inverting to obtain extinction coefficients of atmospheric particulate matters in three wavelengths of infrared, visible and ultraviolet bands at different heights from the ground; building lognormal distribution spectral functions of four aerosol components and parameters thereof, for obtaining refractive indexes at different bands of different aerosols and the mixing ratio of the four aerosol components in different aerosol modes; obtaining the particle size spectrum normalized at 0.55 micron of the extinction coefficient of each aerosol basic component, and comparing with a standard spectrum for authentication; and finally performing iterative calculation to the extinction coefficient spectrums obtained by laser radar surveying to obtain the aerosol mixed volume ratio of each height, thus obtaining atmospheric particulate matter particle size distribution of different heights at different times. According to the inversion method of the invention, valid data are provided for analysis and study of particle properties and variation patterns, especially, an effective means for spatial and temporal change detection for the particle-size spectrum of the atmospheric particulate matters is provided, and active three-dimensional telemetry technology suitable for atmospheric particulate matter particle size distribution is established.

The invention discloses a multiwave beam-based depth-sounding joint inversion method for a sound velocity profile and a submarine topography. The method comprises the following steps of: (1) transmitting multiwave beams to the seafloor of a sounded sea area through a transmitting transducer array of a multiwave-beam depth sounding system, and receiving echo signals through a receiving transducer array of the multiwave-beam depth sounding system; (2) obtaining the arrival angle and the arrival time of echoes according to the received echo signals by using the multiwave-beam depth sounding system; (3) establishing a state space model formed by using a state equation and a sounding equation; (4) obtaining inversion values of the sound velocity gradient and the seafloor depth of the sounded sea area by using a sequential filter method according to the established state space model and the arrival angle and the arrival time of received echoes, and obtaining an estimate of the sound velocity profile of the sounded sea area by using the inversion value of the sound velocity gradient; and further, calculating the water temperature profile of the sounded sea area by using the estimate of the sound velocity profile. According to the multiwave beam-based depth-sounding joint inversion method for the sound velocity profile and the submarine topography, disclosed by the invention, the estimates of the sound velocity profile and the depth of the seafloor can be obtained quickly and accurately.

This invention disclose a kind of high resolution nonlinear reservoir object inversion method, uses a kind of nonlinear reservoir lithologic object convolution module to build the function relation of wave impedance and porosity/ argillaceous content; describes the physical relation of complex rock by analyzing multilevel structure and determining two-way edge wavelet; realizes the combination of the certainty inversion, statistic inversion and nonlinear theoretics; then realizes the high resolution reservoir object parameter inversion of composite geology, well logging and earthquake wave impedance information base on both inverse operator inversion and positive operator reconstructed algorithm, gets high resolution reservoir object cross section (such as porosity, argillaceous content).

The invention discloses an object-oriented remote sensing inversion method of a leaf area index of a crop, comprising the following steps of: acquiring multispectral remote sensing data; calculating a biomass spectral index NDVI (Normalized Difference Vegetation Index), a crop nutrient spectral index BRI and a water sensitive spectral index NDWI (Normalized Difference Water Index) of a crop colony by utilizing the acquired multispectral remote sensing data; carrying out object-oriented segmentation and encoding according to the biomass spectral index NDVI, the crop nutrient spectral index BRI and the water sensitive spectral index NDWI of the crop colony by utilizing a mean shift algorithm; sequentially carrying out the original spectral mean calculation of pixels on objects according to an encoding sequence to obtain a spectral index SAVI (Soil-Adjusted Vegetation Index) sensitive to the LAI (Leaf Area Index), and carrying out texture structure calculation; building a regression model of ground LAI observation data, the spectral index SAVI sensitive to the LAI and the texture structure calculation; and carrying out inversion calculation on the object without the ground LAI observation data by utilizing the regression model to obtain the LAI of the object without the ground LAI observation data.

The invention is a seismic wave impedance inversion method, determining amplitude and phase spectrums of pos-stack seismic data, and extracting seismic subwaves on a near-well seismic channel and determining amplitude and phase spectrums, spectrum widths and master frequencies of the seismic subwaves; picking up seismic stratigraphic horizons corresponding to geological stratigraphic horizon and checking and correcting as well as smoothing and interpolating the picked horizons; demarcating logging acoustic time difference and density curves, and demarcating depth-domain logging acoustic time difference and density curves into time-domain ones, consistent with horizons of stacked seismic data, generating in-well wave impedances; making wavelet odd analysis and wavelet characteristic extraction on the stacked seismic data; providing high resolution wave impedance parameters for reservoir description in the exploration, development and recovery of oil fields.

The invention provides a high-spectrum remote-sensing mineral content quantitative inversion method, based on spectrum linear resolution. Before linear resolution, the end-member spectrum and high-spectrum data are subjected to continuum removing treatment to eliminate the effect of the landform, solar illumination on the spectrum; during linear resolution, the end-members with wave band of 1 are added into the end-member spectrum for representing the mineral end-members without obvious absorptive character in all the spectrum decomposition wave-band range and the end-member spectrum without absorptive character is subjected to continuum removing treatment and then represented using the end-members with wave band of 1; after linear resolution, a modifier formula is brought forward direct towards the effect of the non-linear mixture of the mineral spectrum on the mineral content inversion result, the formula corrects the mineral content subjected to spectrum linear resolution and inversion to make the inversed mineral content more closed to the accurate content. The mineral mixed test shows that: the correction formula can be reduced the error of the mineral content inversion. The test data shows that: the mineral content inversion average error which is not corrected is 29.8% and after being corrected, the average error is reduced to 4.5%.

The invention relates to a simple multi-parameter seismic inversion method for improving the precision and the reliability of the conventional pre-stack seismic inversion with the help of the seismic wave elastic impedance, thereby simultaneously extracting a variety of formation parameters. The steps are as follows: full wave logging information is utilized; an acoustic impedance AI and an elastic wave impedance EI are determined; a CMP gather is converted into an angle gather, and part of the angles are stacked; the conventional pre-stack elastic impedance inversion process is utilized to respectively carry out the AI and the EI inversion of cross-well measuring line of small angle stacked data and part of the stacked data of the middle incident angles; the channel calculation of the EI and the AI data which are obtained by inversion is carried out, thereby obtaining the seismic attributes which are closely related to the elastic density ratio, the lithology changes and the pore fluid ingredients; the reservoir lithology and the properties of the pore fluid are determined. The simple multi-parameter seismic inversion method only needs the seismic data of near and middle angles, and other parameters are obtained through the channel calculation of the relationship between the elastic density ratio and the acoustic impedance, thereby improving the calculation efficiency and being used in the pre-stack inversion of the seismic data obtained by the vast majority of the collection conditions.

The invention is a method for inverting reservoir bi-axial anisotropy and identifying complicated fracture/cross-bedding system (104) by using tri-axial induction logs and wellbore survey/image log data. An inversion method is disclosed that uses all nine components that can be measured by tri-axial induction tools (101), plus borehole azimuth and deviation data, to solve for the tri-axial induction response in an arbitrary anisotropic formation due to the non-orthogonal bedding plane and fracture plane (or cross bedding plane). A mathematical formula is provided relating the conductivity tensor in the tool's reference frame to the conductivity tensor in a reference plane associated with the fracture/cross bedding planes (102). This equation is inverted (103) to yield the conductivity tensor components in the fracture/cross bedding coordinate system, along with dip and azimuth angles for both the fracture/cross bedding planes and the tool.

The invention discloses a single-wavelength four-Raman laser radar detection system and a detection method. The system combines three laser radar technologies of atmospheric temperature measurement via pure-rotation Raman scattering, vapor measurement via vibration Raman scattering, and measurement of atmosphere aerosol optical characteristics via Raman Mie scattering and an inversion method. The laser radar system employs 355 nm single-wavelength pulse laser as a detection light source and a large-diameter optical reception telescope with high transmittance for measuring the wavelength to collect atmospheric back scattering light signals, four wavelength atmospheric Raman scattering light signals and Mie scattering echo light signals of 353 nm, 354 nm, 355 nm, 386 nm, and 407 nm are mutually separated via an angle separation method of color separation filters and interference filters by a following optical path, the above five-wavelength scattering light signals are gated via narrowband interference filters, photoelectric conversion of photomultipliers of the same type is accomplished, and data acquisition is accomplished by a five-channel data collector.

The invention discloses a hybrid-domain full wave form inversion method of central processing unit (CPU)/graphics processing unit (GPU) synergetic parallel computing. Compared with a traditional method, the method can be adopted to conduct the CPU/GPU synergetic parallel computing so as to obviously improve computing efficiency. The method enables a forward part of full wave form inversion to be placed to a time domain, namely forward is conducted in the time domain, the forward is converted to be conducted as the inversion in a frequency domain by the discrete fourier transform (DFT) being utilized, namely the DFT is adopted to pick wave field components corresponding to inversion frequency, and the inversion is conducted in the frequency domain from low frequency to high frequency. The method effectively resolves the problem of astringency of a standard time domain method, and avoids the problem that internal memory of wave form inversion of a standard three-dimensional frequency domain and a Laplace domain cannot be satisfied. The method is few in step, reduces computing expenses, and due to the fact the method can be adopted to conduct the CPU/GPU synergetic parallel computing, largely improves speed-up ratio of the computing method.

The invention discloses a tunnel construction large-scale integrated geophysics advanced detection model test device, which comprises tunnel surrounding rock, a main tunnel model, a model test case, a water-containing geological structure device, a numerical control automation construction device and a main control chamber. The model test device is a large-scale integral geophysics advanced detection model test device meeting the detection of a seismic wave method, an electromagnetic method and a direct current power method, the geophysics advanced detection model test device can be utilized for studying the geophysics response characteristics of the water-containing geological structure device in front of a tunnel face, in addition, various geophysics advanced detection forward and inversion methods of the water-containing geological structure device are verified, the relationship between some geophysics detection method results and the water inflow is studied, and the test foundation is laid for the water inflow prediction and the advanced prediction of the water-containing geological construction device in actual engineering.

The invention provides a seismic anisotropy parameter full waveform inversion method and device, and belongs to the field of seismic anisotropy parameter prediction in oil geophysical exploration. The method comprises the steps that (1) seismic data which are going to carry out anisotropy parameter inversion are acquired, namely observation wave field data; (2) denoising processing is carried out on the seismic data acquired in the step (1) to acquire denoised data; (3) by using the denoised data acquired in the step (2), and according to shot point and receiver point coordinates, a common midpoint gather is extracted to acquire seismic CMP gather information, and then the seismic CMP gather information is used to calculate the interval velocity of a horizontal stratum; (4) by using the interval velocity, which is acquired in the step (3), of the horizontal stratum, an initial model used for inversion is constructed in an interpolation mode; and (5) small perturbation is carried out on each parameter of the initial model to generate a model after parameter perturbation.

The invention relates to a high resolution sequence stratigraphic framework constraint geostatistical inversion method. The method comprises the steps that well-seismic calibration is carried out, and multi-well wavelets of an optimized target zone are extracted; based on well-seismic calibration, a high resolution sequence stratigraphic framework is established; according to target stratum seismic data, geological priori data and logging data, a geological low frequency model based on the high resolution sequence stratigraphic framework is built; sparse pulse inversion under high resolution sequence stratigraphic framework constraints is carried out to acquire a sparse pulse inversion data body; based on a meandering river geological knowledge base, target stratum logging data and seismic characteristic data are combined; the high resolution sequence stratigraphic framework constraints are used, optimized target stratum sandy land ratio and level range are selected; geostatistical inversion under the high resolution sequence stratigraphic framework constraints is carried out; based on a final geostatistical inversion result, a GR logging curve is used to carry out fine calibration on a reservoir; and seismic attributes extracted from the inversion result are used to predict reservoir sand plane distribution.