Systems and methods of placing wells in a hydrocarbon field based on seismic attributes and quality indicators associated with a subterranean formation of the hydrocarbon field can include receiving seismic attributes representing the subterranean formation and seismic data quality indicators. A cutoff is generated for each seismic attribute and seismic data quality indicator. A weight is assigned to each seismic attribute and seismic data quality indicator. The weighted seismic attributes and data quality indicators are aggregated for each location in the hydrocarbon field. A risk ranking is assigned based on the weighted seismic attributes and data quality indicators associated with each location in the hydrocarbon field based on the cutoffs. A map is generated with each location on the surface of the subterranean formation color-coded based on its assigned risk ranking.

According certain aspects, embodiments of the invention consider the problem of microseismic event localization from a parameter estimation perspective, and include a method and system for computing and displaying characteristics of event localization errors. According to certain other aspects, embodiments of the invention include techniques for deriving aggregate statistics from a set of event location estimates, including methods for computing and displaying the probability that an event occurred in any given volume, and methods for describing and displaying the smallest volume that contains a specified percentage of the event probability or expected to contain the specified percentage of the events.

Embodiments of the present disclosure describe methods for efficient wavefield solutions, the methods including defining a wave equation as a linear portion and as a nonlinear portion; and solving the wave equation via an iterative process, the iterative process including, at each iteration, performing LU decomposition before solving the nonlinear portion, or obtaining best finite difference coefficients by solving an optimization equation.

A method for generating a seismic image representing a subsurface includes receiving seismic data for the subsurface formation, including receiver wavelet data and source wavelet data. Source wavefield data are generated based on a forward modeling of the source wavelet data. Receiver wavefield data are generated that compensate for distortions in the seismic data by: applying a dispersion-only model to the receiver wavelet data to generate a first reconstructed back-propagated receiver wavefield portion, applying a dissipation-only model to the receiver wavelet data to generate a second reconstructed back-propagated receiver wavefield portion, and combining the first back-propagated receiver wavefield portion and the second back-propagated receiver wavefield portion into the receiver wavefield data. The method includes applying an imaging condition to the receiver wavefield data and the source wavefield data and generating, based on applying the imaging condition, visco-acoustic reverse time migration (VARTM) result data.

A subsurface structure identification system includes one or more processors and a memory coupled to the one or more processors. The memory is encoded with instructions that when executed by the one or more processors cause the one or more processors to provide a convolutional neural network trained to identify a subsurface structure in an input migrated seismic volume, and to partition the input migrated seismic volume into multi-dimensional sub-volumes of seismic data. The instructions also cause the one or more processors to process each of the multi-dimensional sub-volumes of seismic data in the convolutional neural network, and identify the subsurface structure in the input migrated seismic volume based on a probability map of the input migrated seismic volume generated by the convolutional neural network.

A method can include rendering a graphical user interface (GUI) to a display where the GUI includes graphical controls that correspond to windows and objects of a computational framework and a windows builder panel; responsive to receipt of instructions via the graphical controls, generating specifications for the windows and the objects; and storing the specifications for the windows and the objects as a template file.

The present disclosure provides a diffracted wave imaging method, device and electronic apparatus. The method comprises: acquiring pre-stack seismic wave field data of a to-be-processed area; extracting target data of a target imaging point; fitting target time sample points in the target data based on the Gaussian model and solving the fitting function to determine a distribution range of the stationary point position signal of the reflected wave in the target data; determining migration imaging data of the target imaging point based on the target data and the distribution range; and determining a diffracted wave imaging result of the to-be-processed area based on the migration imaging data of all the imaging points in the to-be-processed area.

The present disclosure provides a small-scale geological anomalous body detection method and device, and relates to the field of small-scale geological anomalous body detection. The method comprises: acquiring diffracted wave shot-gather data collected in a to-be-processed area and determining target single shot data having a distance to the center point, which is a predetermined distance; calculating a first horizontal distance between each shot point in the target single shot data and the center point and calculating a second horizontal distance between the detection point corresponding to each shot point and the center point; constructing a common-diffraction-point gather based on the first horizontal distances and the second horizontal distances; and processing the common-diffraction-point gather by using a correction algorithm of diffracted wave events to obtain a diffracted wave imaging profile.

The present disclosure provides a small-scale geological anomalous body detection method and device, and relates to the field of small-scale geological anomalous body detection. The method comprises: acquiring diffracted wave shot-gather data collected in a to-be-processed area and determining target single shot data having a distance to the center point, which is a predetermined distance; calculating a first horizontal distance between each shot point in the target single shot data and the center point and calculating a second horizontal distance between the detection point corresponding to each shot point and the center point; constructing a common-diffraction-point gather based on the first horizontal distances and the second horizontal distances; and processing the common-diffraction-point gather by using a correction algorithm of diffracted wave events to obtain a diffracted wave imaging profile.

A method includes receiving a seismic data volume comprising seismic information of subterranean formations and receiving a set of seismic traces of the seismic data volume. The method also includes, determining, along each seismic trace of the set of seismic traces, a set of seed points comprising minimum or maximum onsets. Further, the method includes sorting the set of seed points into a sorted set of seed points by absolute amplitude values of the set of seed points. Furthermore, the method includes generating a horizon representation of every seismic event in the seismic data volume by automatically tracking horizons throughout an entirety of the seismic data volume from the sorted set of seed points in an order of the absolute amplitude values of the sorted set of seed points. Additionally, the method includes generating a graphical user interface that includes the horizon representation for display on a display device.