9 results about "Three dimensional inversion" patented technology

This invention discloses a method and system for predicting reservoir types, comprising: obtaining a cross-interpretation chart of sandstone and mudstone transverse and longitudinal wave impedances based on the lithological distribution information, P-wave impedance curves, and S-wave impedance curves of the target layer in the target well; constructing new elastic impedance curves for distinguishing sandstone and mudstone based on P-wave and S-wave characteristics using principal component analysis based on the sandstone and mudstone transverse and longitudinal wave impedances in the cross-interpretation chart; constructing a new three-dimensional elastic impedance data volume based on the new elastic impedance curves and the three-dimensional inversion data volume of transverse and longitudinal wave impedances; and predicting the reservoir type of the entire well section of the target well based on the new three-dimensional inversion data volume of elastic impedances. This invention can construct elastic impedance attributes more suitable for reservoir identification based on transverse and longitudinal wave impedances, and can realize reservoir interpretation using a single parameter, overcoming the problem of low sandstone identification accuracy under impedance overlap, and improving the accuracy and efficiency of sandstone reservoir identification.

The application discloses a kind of electric source short offset distance transient electromagnetic pseudo three-dimensional inversion method, system, equipment and medium, and it is related to geophysical prospecting technical field.The method includes: the multiple source data is normalized, and based on the data after pre-processing, underground space is divided and valued using Gaussian difference method, and initial three-dimensional model is constructed;Based on the initial three-dimensional model, nonlinear conjugate gradient algorithm is used for pseudo three-dimensional inversion, and the value of transverse and longitudinal constraint factor is adaptively adjusted in the inversion process, and inversion data is obtained;According to the inversion data, the three-dimensional imaging information of underground electrical structure is extracted;The three-dimensional imaging information is used for geological interpretation and resource assessment.The application can establish initial three-dimensional model by Gaussian interpolation, carry out efficient inversion calculation using nonlinear conjugate gradient algorithm, and adaptively adjust transverse and longitudinal constraint factor in the inversion process, to realize high-precision pseudo three-dimensional imaging of underground electrical structure.

The application discloses a concealed manganese ore positioning method based on vertical stress analysis of seismic product sequences and three-dimensional inversion, relates to the technical field of mineral exploration and geological engineering, and comprises the following steps: S1, identifying and collecting geological samples of a layer section of soft sediment deformation structures developed in a manganese-bearing rock series, and establishing spatial coordinates of the geological samples; S2, performing digital processing on the samples, and extracting key seismic product structure parameters; S3, based on a sediment dynamics physical model, inverting the key seismic product structure parameters into vertical dynamic parameters in a mineralization period; S4, generating a vertical paleo-dynamic strength three-dimensional distribution model through the spatial coordinates and the vertical dynamic parameters of each sample, performing spatial coupling analysis on the model and a manganese grade distribution model, and establishing a quantitative prediction model to delineate a concealed manganese ore prospecting target area. The application can realize extraction of paleo-dynamic information from sediment records and direct use of the paleo-dynamic information in three-dimensional prospecting prediction.

A method that may include disposing an electromagnetic (EM) logging tool in a wellbore. The EM logging tool may include one or more transmitters disposed on the EM logging tool and one or more receivers disposed on the EM logging tool. The method may further include transmitting an electromagnetic field from the transmitter into one or more tubulars to energize the one or more tubulars with the electromagnetic field thereby producing an eddy current that emanates from the one or more tubulars, measuring the eddy current in the one or more tubulars with the at least one receiver on at least one channel to obtain a plurality of measurements and sending the plurality of measurements to an information handling system. The information handling system may be configured to utilize a multi-dimensional computational model to simulate sensor responses and may apply an inversion to estimate one or more anomaly parameters.

This invention discloses a three-dimensional inversion method and system for airborne radiometric spectrum data, aiming to improve the accuracy of three-dimensional airborne gamma-ray spectrum data inversion methods under UAV platforms. The method first acquires airborne radiometric spectrum data from various measuring points within the inversion area using airborne detection equipment to construct an observation data vector. Then, an irregular triangular mesh is used to discretize the inversion area for three-dimensional terrain modeling. Next, a rock property model constraint function based on the principle of dissimilarity is introduced into the inversion objective function. Finally, the model parameter vector is output through iterative inversion calculations to obtain the distribution of radionuclides in the inversion area. This invention develops a three-dimensional inversion technology for airborne radiometric spectrum data based on rock property constraints of dissimilarity. By using a constraint function with multi-peak characteristics, a one-to-one correspondence between rock properties and extreme points is achieved, ensuring the principle of dissimilarity. Ultimately, this effectively reduces the problem of multiple solutions in the interpretation of airborne spectrum data inversion, improving the accuracy and effectiveness of interpretation.

A magnetic positioning method for underground magnetic pipelines based on adaptive Euler inversion and geometric constraints includes: initially determining the principal axis direction of the underground magnetic pipeline and, while maintaining a constant sampling height, collecting three-component magnetic field data and position coordinates of multiple sampling points along the main survey line; performing adaptive SI selection and cross-sectional joint inversion on the measurement window of the main survey line to obtain the optimal SI value; and inverting the pipeline burial depth based on the optimal SI value to generate the pipeline trajectory. This invention, without relying on any idealized model assumptions, can quantitatively evaluate the degree of aggregation of inversion solutions under different SI candidate values, adaptively selecting the optimal SI value for the current measurement window, thereby effectively overcoming the model mismatch problem caused by the finite length and complex magnetization characteristics of the pipeline. Under the constraint of a known pipeline axis, this invention simplifies the three-dimensional inversion problem into a two-dimensional cross-sectional positioning problem, achieving high-precision, ambiguity-free solution for pipeline location with only a single main survey line.

The application discloses an electric source transient electromagnetic method, system, device and medium for avoiding induced polarization effect, and relates to the technical field of geophysical exploration. The method comprises the following steps: a square wave pulse with a set pulse width and a set duty cycle is used to excite a secondary field in a target area; a magnetic bar or a coil is used to collect a vertical induced voltage component of the secondary field; full-period apparent resistivity is calculated based on the vertical induced voltage component and a pulse response function, and a three-dimensional inversion algorithm is used to construct a subsurface resistivity structure to obtain resistivity imaging; and the resistivity imaging is used to describe transient electromagnetic exploration results. The application can solve the problems of IP effect interference and low inversion accuracy in traditional transient electromagnetic methods, and realizes high-precision resistivity imaging without IP interference.

This invention discloses a method for decoupling and enhancing 3D inversion of metal reflections based on ground-penetrating radar (GPR). First, raw radar echo data acquired by GPR is obtained and preprocessed to obtain a standardized C-scan image. Then, the standardized C-scan image is input into a pre-constructed metal reflection decoupling module. Based on a pre-constructed physical feature library of metal reflections, the module decouples metal and non-metal reflections in the standardized C-scan image by utilizing the differences in electromagnetic response characteristics between metal and non-metal targets, outputting a metal reflection mask, a clean radar image, and an uncertainty map of the metal region. Finally, the metal reflection mask, clean radar image, and uncertainty map of the metal region are input into a pre-constructed 3D inversion network. Through multi-scale feature aggregation and voxel-level prediction, the 3D distribution of the underground dielectric constant is output. This invention achieves accurate separation and effective suppression of metal reflections, significantly improving the 3D inversion imaging quality of underground structures.

The application discloses a transient electromagnetic quick inversion method based on deep learning and physical constraint fusion, and belongs to the technical field of geophysical electromagnetic exploration. A three-dimensional model library containing typical disaster-causing geological bodies of coal mines is first constructed, and training data sets are generated through forward simulation; a deep learning inversion network fusing a multi-scale one-dimensional convolution and a Transformer is constructed, and after training, the network is deployed to unmanned equipment; after the transient electromagnetic data collected by the unmanned equipment is preprocessed, a one-dimensional apparent resistivity prediction sequence is quickly output through the network; the sequence is simultaneously used as an initial model and a reference model for Gauss-Newton inversion, and after 2-3 times of physical constraint iteration, convergence is achieved, and a three-dimensional resistivity distribution is output. The application combines the efficiency of data driving and the strictness of physical equations, breaks through the bottleneck of long time consumption and easy falling into local optimum of traditional inversion, realizes real-time three-dimensional inversion of underground edge end transient electromagnetic of coal mines, and greatly improves the timeliness and reliability of hidden disaster-causing body detection.