SYSTEM AND METHOD FOR RESERVOIR STRUCTURE CHARACTERIZATION

    公开(公告)号:US20240241278A1

    公开(公告)日:2024-07-18

    申请号:US18156229

    申请日:2023-01-18

    发明人: Yijie Zhou

    IPC分类号: G01V1/34 G01V1/28

    CPC分类号: G01V1/34 G01V1/282

    摘要: A method is described for reservoir structure characterization including obtaining well logs and seismic data; performing facies classification and stratigraphic sequencing on the well logs to identify a plurality of layers; estimating wavelets from the seismic data and using the wavelets to tie synthetic seismograms from well logs to the seismic data; determining a mean value for each elastic property in each layer of the well logs and assigning the mean value to each layer to generate blocky well logs; using the wavelets to attempt to tie synthetic seismograms from the blocky well logs to the seismic data; defining facies-dependent properties based on the blocky well logs; performing global optimization using the facies-dependent properties and the seismic data to find thicknesses of the layers across the volume of interest; and mapping the reservoir structure based on the global optimization to generate a graphical representation of the reservoir structure.

    MULTI-TASK NEURAL NETWORK FOR SALT MODEL BUILDING

    公开(公告)号:US20240210586A1

    公开(公告)日:2024-06-27

    申请号:US18557715

    申请日:2022-03-24

    发明人: Ruichao YE

    IPC分类号: G01V1/30 G01V1/34

    摘要: A method and a system for a multi-task neural network for salt model building is disclosed. Imaging salt in the subsurface may be challenging because salt may be associated with strong diffraction and poor focused image, thereby making it difficult to interpret sediments underneath salt body or near salt flanks. To better image salt in the subsurface, the method and system trains, in combination, multiple aspects related to the subsurface, one of which is the target salt feature, in order to generate a salt feature model. The multiple aspects may include the target salt feature, such as the predicted salt mask, and at least one other salt feature, and one or more subsurface features, such as reconstruction of the input image and P-wave velocity. Thus, the salt model may better image salt, thereby making the seismic migration image more focused and easier to identify geological structures.

    SEISMIC INVERSION DOWNSCALING AND EXTRAPOLATION FOR GENERATION OF SEISMIC IMAGES

    公开(公告)号:US20240201405A1

    公开(公告)日:2024-06-20

    申请号:US18084148

    申请日:2022-12-19

    摘要: Methods for seismic imaging of a subterranean geological formation include receiving first acoustic impedance data, having a first resolution, associated with wells in a subsurface region. A system receives seismic data including second acoustic impedance data having a second resolution. The system performs a quality control process configured to identify a mismatch between the first acoustic impedance data and the second acoustic impedance data. The system resamples the second acoustic impedance data into a three-dimensional (3D) grid model. The system scales up the first acoustic impedance data into the 3D grid model. The system downscales the second acoustic impedance data controlled by the first acoustic impedance data in the 3D grid model. The system generates third acoustic impedance data representing fine-scale impedance data. The system extrapolates the fine-scale impedance into areas or regions having no seismic data coverage or poor seismic data coverage.

    METHOD TO DETERMINE A TIME-DEPTH MODEL
    5.
    发明公开

    公开(公告)号:US20240176037A1

    公开(公告)日:2024-05-30

    申请号:US18059915

    申请日:2022-11-29

    IPC分类号: G01V1/30 G01V1/28 G01V1/34

    CPC分类号: G01V1/308 G01V1/282 G01V1/345

    摘要: Systems and methods are disclosed. The method includes drilling, using a drill bit, a wellbore to a sequence of drilling depths within a subterranean region of interest. The method further includes, for each drilling depth, obtaining a seismic dataset generated by the drill bit, determining a coherency map using the seismic dataset, a range of seismic velocities, a range of vertical traveltimes, and a geological model, determining a locus from the coherency map, defining an objective function based on the locus, and determining a unique seismic velocity and a unique vertical traveltime based on an extremum of the objective function. The method further still includes generating a vertical traveltime, depth model using the unique seismic velocity and the unique vertical traveltime for each drilling depth, obtaining a time-domain surface seismic dataset, and determining a depth-domain surface seismic dataset using the time-domain surface seismic dataset and the vertical traveltime, depth model.

    SYSTEM AND METHOD FOR FACIES-GUIDED SEISMIC IMAGE SUPER-RESOLUTION

    公开(公告)号:US20240168188A1

    公开(公告)日:2024-05-23

    申请号:US17982184

    申请日:2022-11-07

    IPC分类号: G01V1/30 G01V1/34

    摘要: A facies classification apparatus and method of training the apparatus is provided for seismic image super-resolution. The apparatus includes an input for receiving a low resolution seismic images extracted from a seismic volume and a feature extraction section to extract features from the low resolution images. A non-linear feature mapping section generates feature maps using a self-calibrated block with pixel attention having a plurality of Depthwise Separable Convolution (DSC) layers. A late upsampling section combines at least one DSC layer that upsamples the feature maps to a predetermined dimension. An output provides approximate upsampled super-resolution seismic images that correspond to the low resolution seismic images, with a desired scale of at least two times the low resolution seismic image. A pretrained facies classifier classifies facies in the seismic volume based on the approximate upsampled super-resolution seismic images to obtain class labels.

    LEARNING HYDROCARBON DISTRIBUTION FROM SEISMIC IMAGE

    公开(公告)号:US20240069228A1

    公开(公告)日:2024-02-29

    申请号:US17896748

    申请日:2022-08-26

    IPC分类号: G01V1/30 E21B49/00 G01V1/34

    摘要: The disclosure relates to determining rock properties of subterranean formations and learning the distribution of hydrocarbons in the formations. A geometrical element spread function is disclosed that quantifies distortion of the geology as seen by the geophysicists who process seismic images of the subterranean formations. A method of determining the rock properties using the seismic images and synthetic images is provided. In one example, the method includes: (1) obtaining seismic data from a subterranean formation using a seismic acquisition system, (2) generating one or more seismic images of the subterranean formation using the seismic data, (3) creating one or more synthetic images from the one or more seismic images, and (4) determining rock properties of the subterranean formation based on the one or more seismic images and the one or more synthetic images.

    COMPUTER-AUTOMATED METHOD TO CONVERT SEISMIC DATA FILES

    公开(公告)号:US20240069225A1

    公开(公告)日:2024-02-29

    申请号:US17822743

    申请日:2022-08-26

    摘要: Systems and methods are disclosed. The method includes determining first metadata for a first seismic data file from a first database, generating a control file using the first metadata, and converting the first seismic data file in a predetermined file format to a destination file format using the control file. The first metadata comprises first values of a first plurality of seismic survey geometry parameters. The method further includes storing a first metadata file in a second database, wherein the first metadata file comprises the first metadata, and storing the first seismic data file in the destination file format in the second database. The method still further includes determining whether the first values of the first plurality of seismic survey geometry parameters duplicate second values of the first plurality of seismic survey geometry parameters.